Scikit-learn: Machine Learning in Python

Abstract

Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing machine learning to non-specialists using a general-purpose high-level language. Emphasis is put on ease of use, performance, documentation, and API consistency. It has minimal dependencies and is distributed under the simplified BSD license, encouraging its use in both academic and commercial settings. Source code, binaries, and documentation can be downloaded from http://scikit-learn.org.

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References in corpus (2)

• The NumPy array: a structure for efficient numerical computation
• A supervised clustering approach for fMRI-based inference of brain states

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• T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition
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• Machine learning for music genre: multifaceted review and experimentation with audioset
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• Stellar Property Statistics of Massive Halos from Cosmological Hydrodynamics Simulations: Common Kernel Shapes
• Time Delay of MgII Emission Response for the Luminous Quasar HE 0435-4312: Towards Application of High-Accretor Radius-Luminosity Relation in Cosmology
• Neural Sentence Embedding using Only In-domain Sentences for Out-of-domain Sentence Detection in Dialog Systems
• The GALAH survey: properties of the Galactic disk(s) in the solar neighbourhood
• Unsupervised machine learning for detection of phase transitions in off-lattice systems II. Applications
• On Generalisability of Machine Learning-based Network Intrusion Detection Systems
• Retrieving the quantitative chemical information at nanoscale from SEM EDX measurements by Machine Learning
• Exoplanet Validation with Machine Learning: 50 new validated Kepler planets
• Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences
• Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
• Overcomplete compact representation of two-particle Green's functions
• Discovery of 36 eclipsing EL CVn binaries found by the Palomar Transient Factory
• Multiscale reweighted stochastic embedding (MRSE): Deep learning of collective variables for enhanced sampling
• pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
• Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
• Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning
• PBjam: A Python package for automating asteroseismology of solar-like oscillators
• Convolutional Neural Networks for Transient Candidate Vetting in Large-Scale Surveys
• Leveraging Deep Graph-Based Text Representation for Sentiment Polarity Applications
• Toward Accurate Interpretable Predictions of Materials Properties within Transformer Language Models
• Determining the Twist Angle of Bilayer Graphene by Machine Learning Analysis of its Raman Spectrum
• On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2
• OpenML: An R Package to Connect to the Machine Learning Platform OpenML
• ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks
• Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants
• A One-Class Classification Decision Tree Based on Kernel Density Estimation
• Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions
• Photometric redshift estimation based on data mining with PhotoRApToR
• Detecting outliers and learning complex structures with large spectroscopic surveys - a case study with APOGEE stars
• Preoperative brain tumor imaging: models and software for segmentation and standardized reporting
• Prospects for Detecting the Diffuse Supernova Neutrino Background with JUNO
• Machine-learning models for Raman spectra analysis of twisted bilayer graphene
• Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption
• Improving Variational Autoencoders for New Physics Detection at the LHC with Normalizing Flows
• Anomaly Detection in the Open Supernova Catalog
• Learning Physical Graph Representations from Visual Scenes
• Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study
• Abundances of disk and bulge giants from high-resolution optical spectra -- IV. Zr, La, Ce, Eu
• On the feasibility of automated prediction of bug and non-bug issues
• Machine-learning prediction of infrared spectra of interstellar polycyclic aromatic hydrocarbons
• DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs
• A framework for benchmarking clustering algorithms
• Fairness for Robust Log Loss Classification
• Quantifying time-dependent Media Agenda and Public Opinion by topic modeling
• Machine-learning error models for approximate solutions to parameterized systems of nonlinear equations
• Multimodal Speech Emotion Recognition and Ambiguity Resolution
• Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit
• An Empirical Study on the Effectiveness of Data Resampling Approaches for Cross-Project Software Defect Prediction
• Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion Recognition
• Comparison of Polynomial Chaos and Gaussian Process surrogates for uncertainty quantification and correlation estimation of spatially distributed open-channel steady flows
• Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners
• A random version of principal component analysis in data clustering
• OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning
• IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery
• Mission planning for emergency rapid mapping with drones
• A black-box adversarial attack for poisoning clustering
• Data augmentation for machine learning redshifts applied to SDSS galaxies
• A Data-Driven Travel Mode Share Estimation Framework based on Mobile Device Location Data
• An application of machine learning techniques to galaxy cluster mass estimation using the MACSIS simulations
• Fault Detection for Non-Condensing Boilers using Simulated Building Automation System Sensor Data
• DADApy: Distance-based Analysis of DAta-manifolds in Python
• A data-driven Reconstruction of Horndeski gravity via the Gaussian processes
• Real-time flare prediction based on distinctions between flaring and non-flaring active region spectra
• Beyond ranking nodes: Predicting epidemic outbreak sizes by network centralities
• Denoising Autoencoders for Overgeneralization in Neural Networks
• A New View of the Size-Mass Distribution of Galaxies: Using $r_{20}$ and $r_{80}$ instead of $r_{50}$
• Combining Physics-based and Data-driven Modeling for Building Energy Systems
• An XAI framework for robust and transparent data-driven wind turbine power curve models
• Core-Periphery Structure in Directed Networks
• Optimal arrangements of hyperplanes for multiclass classification
• Introducing causal inference in the energy-efficient building design process
• Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification
• Multi-class quantum classifiers with tensor network circuits for quantum phase recognition
• EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia
• Determining liquid crystal properties with ordinal networks and machine learning
• Introducing galactic structure finder: the multiple stellar kinematic structures of a simulated Milky Way mass galaxy
• EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network
• Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions
• Automated crater detection with human level performance
• Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking
• Towards a radially-resolved semi-analytic model for the evolution of disc galaxies tuned with machine learning
• EPGAT: Gene Essentiality Prediction With Graph Attention Networks
• Chip-to-chip entanglement of transmon qubits using engineered measurement fields
• Drug response prediction by ensemble learning and drug-induced gene expression signatures
• MC${}^2$: Multi-wavelength and dynamical analysis of the merging galaxy cluster ZwCl 0008.8+5215: An older and less massive Bullet Cluster
• A Detection of the Environmental Dependence of the Sizes and Stellar Haloes of Massive Central Galaxies
• Transient-optimised real-bogus classification with Bayesian Convolutional Neural Networks -- sifting the GOTO candidate stream
• The EDGE-CALIFA Survey: Exploring the Star Formation Law through Variable Selection
• Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine
• The Poisson-Boltzmann model for implicit solvation of electrolyte solutions: Quantum chemical implementation and assessment via Sechenov coefficients
• Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
• Stellar parametrization of LAMOST M dwarf stars
• On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection
• Photometric selection and redshifts for quasars in the Kilo-Degree Survey Data Release 4
• Recombinator-k-means: An evolutionary algorithm that exploits k-means++ for recombination
• Deep Structured Neural Networks for Turbulence Closure Modelling
• Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis
• Linearized Optimal Transport for Collider Events
• Performance Analysis and Optimization of Sparse Matrix-Vector Multiplication on Modern Multi- and Many-Core Processors
• Detecting social (in)stability in primates from their temporal co-presence network
• SymbolicGPT: A Generative Transformer Model for Symbolic Regression
• Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning
• Making a Science of Model Search
• Combining Static and Dynamic Features for Multivariate Sequence Classification
• A Convolutional Neural Network Approach to the Classification of Engineering Models
• On the cross-validation bias due to unsupervised pre-processing
• Climbing Halo Merger Trees with TreeFrog
• Open-Set Recognition Using Intra-Class Splitting
• Stellar classification from single-band imaging using machine learning
• NIHAO XVI: The properties and evolution of kinematically selected discs, bulges and stellar haloes
• libact: Pool-based Active Learning in Python
• AdaLead: A simple and robust adaptive greedy search algorithm for sequence design
• Physical Correlations of the Scatter between Galaxy Mass, Stellar Content, and Halo Mass
• A Framework for Automated Cellular Network Tuning with Reinforcement Learning
• Rotation periods for cool stars in the open cluster NGC 3532. The transition from fast to slow rotation
• Comparison of the optical light curves of hydrogen-rich and hydrogen-poor type II supernovae
• Genarris 2.0: A Random Structure Generator for Molecular Crystals
• Interactions between species introduce spurious associations in microbiome studies
• Synthetic Evolution Tracks of Giant Planets
• The X-ray/UV ratio in Active Galactic Nuclei: dispersion and variability
• Quantitative Error Prediction of Medical Image Registration using Regression Forests
• Can Symmetric Tilt Grain Boundaries Represent Polycrystals?
• A probabilistic approach to emission-line galaxy classification
• Cosmic Ray Spectrum from 250 TeV to 10 PeV using IceTop
• A Systematic Study of Ia-CSM Supernovae from the ZTF Bright Transient Survey
• Inequality and Inequity in Network-based Ranking and Recommendation Algorithms
• Star-galaxy classification in the Dark Energy Survey Y1 dataset
• The rotation period distribution of the rich Pleiades-age Southern open cluster NGC 2516. Existence of a representative zero-age main sequence distribution
• Support Vector Machine classification of strong gravitational lenses
• A universal model for the formation energy prediction of inorganic compounds
• The Survey of Centaurus A's Baryonic Structures (SCABS). II. The Extended Globular Cluster System of NGC5128 and its Nearby Environment
• Constraining cosmology with weak lensing voids
• Mid-Infrared Spectroscopic Evidence for AGN Heating Warm Molecular Gas
• Time-series machine-learning error models for approximate solutions to parameterized dynamical systems
• Semantic homophily in online communication: evidence from Twitter
• Learning-based Predictive Path Following Control for Nonlinear Systems Under Uncertain Disturbances
• Optimizing exoplanet atmosphere retrieval using unsupervised machine-learning classification
• Galactic Bar Resonances Inferred from Kinematically Hot Stars in Gaia EDR3
• A comparative study of general fuzzy min-max neural networks for pattern classification problems
• Inclusion of Frequency Nadir constraint in the Unit Commitment Problem of Small Power Systems Using Machine Learning
• Star Formation Rates for photometric samples of galaxies using machine learning methods
• Lyman Alpha Reference Sample: X. Predicting Lyman alpha output from starforming galaxies using multivariate regression
• Persistent Plasma Waves in Interstellar Space Detected by Voyager 1
• Experimental evolution of diverse Escherichia coli metabolic mutants identifies genetic loci for convergent adaptation of growth rate
• Cross-correlation of the thermal Sunyaev-Zel'dovich effect and weak gravitational lensing: Planck and Subaru Hyper Suprime-Cam first-year data
• A Survey of Machine Learning Methods and Challenges for Windows Malware Classification
• New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis
• Efficient and Modular Implicit Differentiation
• Unbiased Graph Embedding with Biased Graph Observations
• Modeling Personality vs. Modeling Personalidad: In-the-wild Mobile Data Analysis in Five Countries Suggests Cultural Impact on Personality Models
• Boosting in the presence of outliers: adaptive classification with non-convex loss functions
• MagneticSpy: Exploiting Magnetometer in Mobile Devices for Website and Application Fingerprinting
• Early warning of coalescing neutron-star and neutron-star-black-hole binaries from nonstationary noise background using neural networks
• Scholarly migration within Mexico: Analyzing internal migration among researchers using Scopus longitudinal bibliometric data
• Convolutional neural networks enable high-fidelity prediction of path-dependent diffusion barrier spectra in multi-principal element alloys
• Machine Learning (In) Security: A Stream of Problems
• CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise
• Impact of Atmospheric Chromatic Effects on Weak Lensing Measurements
• MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
• Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection
• A Model-Driven Approach to Machine Learning and Software Modeling for the IoT
• A Study of Age and Gender seen through Mobile Phone Usage Patterns in Mexico
• Dictionary Learning for Massive Matrix Factorization
• A Comparison of Visualizations for Identifying Correlation over Space and Time
• An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)
• Unsupervised machine learning for transient discovery in Deeper, Wider, Faster light curves
• Efficient video integrity analysis through container characterization
• Graph Machine Learning for Design of High-Octane Fuels
• Forward Thinking: Building Deep Random Forests
• Style in the Age of Instagram: Predicting Success within the Fashion Industry using Social Media
• The Arousal video Game AnnotatIoN (AGAIN) Dataset
• Formal Verification of Input-Output Mappings of Tree Ensembles
• Text Data Augmentation Made Simple By Leveraging NLP Cloud APIs
• A machine-learning method for identifying multi-wavelength counterparts of submillimeter galaxies: training and testing using AS2UDS and ALESS
• Deep Q-Learning for Self-Organizing Networks Fault Management and Radio Performance Improvement
• Molecule Identification with Rotational Spectroscopy and Probabilistic Deep Learning
• Extracting local switching fields in permanent magnets using machine learning
• Cross-Lingual Sentiment Quantification
• Deep 3 GHz Observations of the Lockman Hole North with the Very Large Array - 1. Source extraction and uncertainty analysis
• A Comparison of Machine Learning Algorithms for the Surveillance of Autism Spectrum Disorder
• Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method
• An Experimental Evaluation of Large Scale GBDT Systems
• Determining the Difficulties of Students With Dyslexia via Virtual Reality and Artificial Intelligence: An Exploratory Analysis
• GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in Type-1 Diabetes
• Topological Machine Learning with Persistence Indicator Functions
• Top2Vec: Distributed Representations of Topics
• N-body simulations of dark matter with frequent self-interactions
• Chemical-Reaction-Aware Molecule Representation Learning
• Multithreshold Entropy Linear Classifier
• The Pristine survey XIII: Uncovering the very metal-poor tail of the thin disc
• On the Error of Random Fourier Features
• MVG Mechanism: Differential Privacy under Matrix-Valued Query
• PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts
• Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
• Eavesdrop the Composition Proportion of Training Labels in Federated Learning
• Graphite: Iterative Generative Modeling of Graphs
• Top influencers can be identified universally by combining classical centralities
• PHOTONAI -- A Python API for Rapid Machine Learning Model Development
• Deep reconstruction of strange attractors from time series
• ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data
• Predicting Growth Rate from Gene Expression
• Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
• Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores
• Identifying cybersickness causes in virtual reality games using symbolic machine learning algorithms
• Mokey: Enabling Narrow Fixed-Point Inference for Out-of-the-Box Floating-Point Transformer Models
• Comparing Multi-class, Binary and Hierarchical Machine Learning Classification schemes for variable stars
• A High Reliability Survey of Discrete Epoch of Reionization Foreground Sources in the MWA EoR0 Field
• Using X-Ray Morphological Parameters to Strengthen Galaxy Cluster Mass Estimates via Machine Learning
• A seismic scaling relation for stellar age
• Measurement of the production cross section for a Higgs boson in association with a vector boson in the $H\to W{W}^{\ast }\to \ell \nu \ell \nu$ channel in $pp$ collisions at $\sqrt{s}$ = 13 TeV with the ATLAS detector
• GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder
• Routine Clustering of Mobile Sensor Data Facilitates Psychotic Relapse Prediction in Schizophrenia Patients
• Pulsar Candidate Identification Using Semi-Supervised Generative Adversarial Networks
• Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-model-based Conceptual Design of Pedestrian Bridges
• Automatic vetting of planet candidates from ground based surveys: Machine learning with NGTS
• Uncertainty in Gradient Boosting via Ensembles
• QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA
• Stacked Convolutional Neural Network for Diagnosis of COVID-19 Disease from X-ray Images
• City-wide Analysis of Electronic Health Records Reveals Gender and Age Biases in the Administration of Known Drug-Drug Interactions
• Convolutional Neural Networks for Direct Detection of Dark Matter
• CNN based music emotion classification
• Predicting star formation properties of galaxies using deep learning
• Distributed TensorFlow with MPI
• Discovery of a 21 Myr old stellar population in the Orion complex
• Blind chemical tagging with DBSCAN: prospects for spectroscopic surveys
• A new estimator of resolved molecular gas in nearby galaxies
• Exploring the spectroscopic diversity of type Ia supernovae with DRACULA: a machine learning approach
• Testing SOAR Tools in Use
• Deep Learning Based Multi-Label Text Classification of UNGA Resolutions
• Predictability of Power Grid Frequency
• Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics
• Learning with fuzzy hypergraphs: a topical approach to query-oriented text summarization
• Automatic microscopic image analysis by moving window local Fourier Transform and Machine Learning
• What is the price of abandoning dark matter? Cosmological constraints on alternative gravity theories
• Extended stellar systems in the solar neighborhood. IV. Meingast 1: the most massive stellar stream in the solar neighborhood
• The NN-Stacking: Feature weighted linear stacking through neural networks
• Is Transfer Learning Necessary for Protein Landscape Prediction?
• Statistical quantification of confounding bias in predictive modelling
• Machine Learning Methods for Track Classification in the AT-TPC
• EmpiriciSN: Re-sampling Observed Supernova/Host Galaxy Populations using an XD Gaussian Mixture Model
• Landscape of R packages for eXplainable Artificial Intelligence
• Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques
• Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
• Bootstrapping More QM Systems
• A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers
• Measuring and Improving Consistency in Pretrained Language Models
• Learning CNN filters from user-drawn image markers for coconut-tree image classification
• Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces
• Protein folding analysis using features obtained by persistent homology
• Machine learning classification for field distributions of photonic modes
• Joint embedding of structure and features via graph convolutional networks
• MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization
• Weak lensing magnification in the Dark Energy Survey Science Verification Data
• Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
• Unlocking Galactic Wolf-Rayet stars with $\text{Gaia}$ DR2 II: Cluster and Association membership
• Sequential Training of Neural Networks with Gradient Boosting
• The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
• RENT -- Repeated Elastic Net Technique for Feature Selection
• Machine Learning Characterization of Structural Defects in Amorphous Packings of Dimers and Ellipses
• Learning forecasts of rare stratospheric transitions from short simulations
• Tree tensor network classifiers for machine learning: from quantum-inspired to quantum-assisted
• CONTAIN: A Community-based Algorithm for Network Immunization
• Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors?
• First observation of the radiative decay ${\Lambda }_b^0\to \Lambda \gamma$
• Galaxy Zoo: star-formation versus spiral arm number
• Analysis of Trajectory Similarity and Configuration Similarity in On-the-Fly Surface-Hopping Simulation on Multi-Channel Nonadiabatic Photoisomerization Dynamics
• A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data
• Estimating the degree of non-Markovianity using machine learning
• Hyperparameter Optimization for Effort Estimation
• Towards Understanding Fairness and its Composition in Ensemble Machine Learning
• Effects of Cooling Rate on Structural Relaxation in Amorphous Drugs: Elastically Collective Nonlinear Langevin Equation Theory and Machine Learning Study
• Markov models for fMRI correlation structure: is brain functional connectivity small world, or decomposable into networks?
• Machine Learning-Driven Process of Alumina Ceramics Laser Machining
• A call to arms: making the case for more reusable libraries
• Exploring the structure-property relations of thin-walled, 2D extruded lattices using neural networks
• We Need No Pixels: Video Manipulation Detection Using Stream Descriptors
• Accelerating multimodal gravitational waveforms from precessing compact binaries with artificial neural networks
• Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
• Is deep learning necessary for simple classification tasks?
• Machine learning for complete intersection Calabi-Yau manifolds: a methodological study
• Galaxy Morphology Classification using Neural Ordinary Differential Equations
• Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers
• Top-Quark Physics: Status and Prospects
• A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values
• Search for the Higgs boson produced in association with a $W$ boson and decaying to four $b$-quarks via two spin-zero particles in $pp$ collisions at 13 TeV with the ATLAS detector
• On The Statistical Properties of the Lower Main Sequence
• Coded Machine Unlearning
• Semi-supervised Zero-Shot Learning by a Clustering-based Approach
• Imaging Extended Emission-Line Regions of Obscured AGN with the Subaru Hyper Suprime-Cam Survey
• Protocol to identify a topological superconducting phase in a three-terminal device
• 3D electromagnetic modelling and inversion: A case for open-source
• Machine-Learning Prediction for Quasi-PDF Matrix Elements
• A First Look at creating mock catalogs with machine learning techniques
• NtMalDetect: A Machine Learning Approach to Malware Detection Using Native API System Calls
• Data-Driven Discovery of Coarse-Grained Equations
• Screening and understanding Li adsorption on 2-dimensional metallic materials by learning physics
• A matching-based heuristic algorithm for school bus routing problems
• Bridging Star-Forming Galaxy and AGN Ultraviolet Luminosity Functions at $z=4$ with the SHELA Wide-Field Survey
• Predicting Good Quantum Circuit Compilation Options
• Identifying Tidal Disruption Events with an Expansion of the FLEET Machine Learning Algorithm
• Examining the Differential Risk from High-level Artificial Intelligence and the Question of Control
• scikit-fda: A Python Package for Functional Data Analysis
• The Cellwise Minimum Covariance Determinant Estimator
• Multi-Objective Latent Space Optimization of Generative Molecular Design Models
• Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion
• HL-Pow: A Learning-Based Power Modeling Framework for High-Level Synthesis
• Uncovering the Limits of Text-based Emotion Detection
• metric-learn: Metric Learning Algorithms in Python
• Predictably Missing Satellites: Subhalo Abundance in Milky Way-like Halos
• Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings
• An iterative data-driven turbulence modeling framework based on Reynolds stress representation
• User and Item-aware Estimation of Review Helpfulness
• A Machine Learning Artificial Neural Network Calibration of the Strong-Line Oxygen Abundance
• Predominant Musical Instrument Classification based on Spectral Features
• Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids
• Stochastic Subsampling for Factorizing Huge Matrices
• Like Article, Like Audience: Enforcing Multimodal Correlations for Disinformation Detection
• SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection
• Fock State-enhanced Expressivity of Quantum Machine Learning Models
• Emergence of a pseudogap in the BCS-BEC crossover
• Reconstructing the Kinematics of Deep Inelastic Scattering with Deep Learning
• A New PAC-Bayesian Perspective on Domain Adaptation
• Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (or : How to Prove Kabashima's Replica Formula)
• An Atomistic Machine Learning Package for Surface Science and Catalysis
• A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition
• Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation
• Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications
• Rice Classification Using Spatio-Spectral Deep Convolutional Neural Network
• FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
• Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes
• Interpretable brain age prediction using linear latent variable models of functional connectivity
• dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
• PPFS: Predictive Permutation Feature Selection
• Light curve classification with recurrent neural networks for GOTO: dealing with imbalanced data
• Stars behind bars II: A cosmological formation scenario for the Milky Way's central stellar structure
• Short text classification with machine learning in the social sciences: The case of climate change on Twitter
• Overcoming the Distance Estimation Bottleneck in Estimating Animal Abundance with Camera Traps
• Open-Set Support Vector Machines
• Cost-aware Bayesian Optimization
• Machine Learning Estimators for Lattice QCD Observables
• GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
• Machine Learning based jet momentum reconstruction in heavy-ion collisions
• Better Security Bug Report Classification via Hyperparameter Optimization
• Machine-learning interpolation of population-synthesis simulations to interpret gravitational-wave observations: a case study
• One-Shot Learning of Stochastic Differential Equations with Data Adapted Kernels
• Digging for Dark Matter: Spectral Analysis and Discovery Potential of Paleo-Detectors
• Autostacker: A Compositional Evolutionary Learning System
• The homogeneity scale and the growth rate of cosmic structures
• Multimodal Model with Text and Drug Embeddings for Adverse Drug Reaction Classification
• Building a Sentiment Corpus of Tweets in Brazilian Portuguese
• Ergodic Exploration using Binary Sensing for Non-Parametric Shape Estimation
• Time Series Forecasting Using Manifold Learning
• Large-Scale Representation Learning on Graphs via Bootstrapping
• The distinct stellar metallicity populations of simulated Local Group dwarfs
• TESS Data for Asteroseismology (T'DA) Stellar Variability Classification Pipeline: Set-Up and Application to the Kepler Q9 Data
• Artificial Text Detection via Examining the Topology of Attention Maps
• Dynamic Spatio-temporal Graph-based CNNs for Traffic Prediction
• Exploring the Long-Term Evolution of GRS 1915+105
• Early ultraviolet emission in the Type Ia supernova LSQ12gdj: No evidence for ongoing shock interaction
• Discovery of New Dipper Stars with K2: A Window into the Inner Disk Region of T Tauri Stars
• Extracting Sentence Embeddings from Pretrained Transformer Models
• On Wasted Contributions: Understanding the Dynamics of Contributor-Abandoned Pull Requests
• GraKeL: A Graph Kernel Library in Python
• The nuclear star cluster and nuclear stellar disc of the Milky Way: Different stellar population and star formation history
• Anomaly detection in scientific data using joint statistical moments
• DeepMTL Pro: Deep Learning Based MultipleTransmitter Localization and Power Estimation
• A Mathematical Theory for Clustering in Metric Spaces
• On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems
• Modeling Generalization in Machine Learning: A Methodological and Computational Study
• Bias Discovery in Machine Learning Models for Mental Health
• Multi-Physics Model Bias Correction with Data-Driven Reduced Order Modelling Techniques: Application to Nuclear Case Studies
• Towards constraining warm dark matter with stellar streams through neural simulation-based inference
• Finding nonlinear system equations and complex network structures from data: a sparse optimization approach
• Model reconstruction from temporal data for coupled oscillator networks
• 3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data
• A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks
• Solar Power Time Series Forecasting Utilising Wavelet Coefficients
• The PAU Survey: star-galaxy classification with multi narrow-band data
• Data-Driven Equation Discovery of a Cloud Cover Parameterization
• Discrimination of Internal Faults and Other Transients in an Interconnected System with Power Transformers and Phase Angle Regulators
• An N-body population synthesis framework for the formation of moons around Jupiter-like planets
• Cost-sensitive probabilistic predictions for support vector machines
• Characterization of Constrained Continuous Multiobjective Optimization Problems: A Feature Space Perspective
• VFPred: A Fusion of Signal Processing and Machine Learning techniques in Detecting Ventricular Fibrillation from ECG Signals
• Spatial correlations, clustering and percolation-like transitions in homicide crimes
• Noise-aware Physics-informed Machine Learning for Robust PDE Discovery
• Commuting network effect on urban wealth scaling
• Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation
• BABD: A Bitcoin Address Behavior Dataset for Pattern Analysis
• Practical application improvement to Quantum SVM: theory to practice
• Massive White Dwarfs in Young Star Clusters
• Semi-analytical covariance matrices for two-point correlation function for DESI 2024 data
• Layered TPOT: Speeding up Tree-based Pipeline Optimization
• Benchmarking and Scalability of Machine Learning Methods for Photometric Redshift Estimation
• Molecular cloud distances based on the MWISP CO survey and Gaia DR2
• Multi-contact synapses for stable networks: a spike-timing dependent model of dendritic spine plasticity and turnover
• Machine Learning applied to asteroid dynamics
• High posterior density ellipsoids of quantum states
• The Impact of Automated Parameter Optimization on Defect Prediction Models
• Detecting Lagrangian coherent structures from sparse and noisy trajectory data
• Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops
• Radio Galaxy Zoo: Knowledge Transfer Using Rotationally Invariant Self-Organising Maps
• A Machine Learning Approach to Online Fault Classification in HPC Systems
• Machine Learning aided 3D-position reconstruction in large LaCl${}_3$ crystals
• Understanding Editing Behaviors in Multilingual Wikipedia
• Exploring the Diversity of Type 1 Active Galactic Nuclei Identified in SDSS-IV/SPIDERS
• SOS: Safe, Optimal and Small Strategies for Hybrid Markov Decision Processes
• Identifying the Onset of Phase Separation in Quaternary Lipid Bilayer Systems from Coarse-Grained Simulations
• Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter
• Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment
• Search for flavour-changing neutral currents in processes with one top quark and a photon using 81 fb${}^{-1}$ of $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS experiment
• Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics
• Constraints on the $K_{\mathrm{S}}^0\to {\mu }^{+}{\mu }^{-}$ branching fraction
• Adaptivity for clustering-based reduced-order modeling of localized history-dependent phenomena
• Speaker Diarization with Lexical Information
• Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
• Symbolic regression outperforms other models for small data sets
• What's Anomalous in LHC Jets?
• Using the Maximum X-ray Flux Ratio and X-ray Background to Predict Solar Flare Class
• FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets
• Algorithm-Agnostic Explainability for Unsupervised Clustering
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• A Comparative Study on Machine Learning Algorithms for the Control of a Wall Following Robot
• Spectral Learning on Matrices and Tensors
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• A novel single-pulse search approach to detection of dispersed radio pulses using clustering and supervised machine learning
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• Quantum kernels to learn the phases of quantum matter
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• Extending F1 metric, probabilistic approach
• Stacking for machine learning redshifts applied to SDSS galaxies
• Variational quantum one-class classifier
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• ArborX: A Performance Portable Geometric Search Library
• Improving sensitivity to low-mass dark matter in LUX using a novel electrode background mitigation technique
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• apricot: Submodular selection for data summarization in Python
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• Deep Learning-based Bathymetry Retrieval without In-situ Depths using Remote Sensing Imagery and SfM-MVS DSMs with Data Gaps
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• Planet Four: Probing Springtime Winds on Mars by Mapping the Southern Polar CO${}_2$ Jet Deposits
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• Classical and quantum regression analysis for the optoelectronic performance of NTCDA/p-Si UV photodiode
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• fastFM: A Library for Factorization Machines
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• Rapid Shear Capacity Prediction of TRM-Strengthened Unreinforced Masonry Walls through Interpretable Machine Learning using a Web App
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• ZOMG III: The effect of Halo Assembly on the Satellite Population
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• The PAU Survey: Measurement of Narrow-band galaxy properties with Approximate Bayesian Computation
• Capturing the physics of MaNGA galaxies with self-supervised Machine Learning
• Nuclear energy density functionals grounded in ab initio calculations
• ALFABURST: A commensal search for Fast Radio Bursts with Arecibo
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• Detection of depression on social networks using transformers and ensembles
• XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliament
• Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification
• Probabilistic selection and design of concrete using machine learning
• Inferring physical properties of galaxies from their emission line spectra
• Language-Independent Sentiment Labelling with Distant Supervision: A Case Study for English, Sepedi and Setswana
• Now You See Me (CME): Concept-based Model Extraction
• Ensemble Clustering for Graphs
• Characterizing and Mitigating Self-Admitted Technical Debt in Build Systems
• From phonemes to images: levels of representation in a recurrent neural model of visually-grounded language learning
• Vulgar Remarks Detection in Chittagonian Dialect of Bangla
• Travel Time Prediction using Tree-Based Ensembles
• Prediction uncertainty validation for computational chemists
• Over-The-Air Computation in Correlated Channels
• CellProfiler plugins -- an easy image analysis platform integration for containers and Python tools
• In-Ear SpO2 for Classification of Cognitive Workload
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• Mapping Structural Heterogeneity at the Nanoscale with Scanning Nano-structure Electron Microscopy (SNEM)
• Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection
• GAME: GAlaxy Machine learning for Emission lines
• Over-The-Air Computation in Correlated Channels
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• Can Genetic Programming Do Manifold Learning Too?
• OGLE-ing the Magellanic System: RR Lyrae Stars in the Bridge
• DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data
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• Finding Black Holes with Black Boxes -- Using Machine Learning to Identify Globular Clusters with Black Hole Subsystems
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• Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets
• Learning language through pictures
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• Machine learning for risk assessment in gender-based crime
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• GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference
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• What Do Developers Ask About ML Libraries? A Large-scale Study Using Stack Overflow
• Intelligent Systems Design for Malware Classification Under Adversarial Conditions
• On Weak Lensing Shape Noise
• Multi-objective Asynchronous Successive Halving
• Museum Accessibility Through Wi-Fi Indoor Positioning
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• RUBIES spectroscopically confirms the high number density of quiescent galaxies from $2<\mathbf{z}<5$
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• The Detection of Fermi AGN above 100 GeV using Clustering Analysis
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• Gradient tree boosting with random output projections for multi-label classification and multi-output regression
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• Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications
• Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud
• SuSi: Supervised Self-Organizing Maps for Regression and Classification in Python
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• Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals
• High Angular Resolution Stellar Imaging with Occultations from the Cassini Spacecraft II: Kronocyclic Tomography
• Non-contact Andreev reflection as a direct probe of superconductivity on the atomic scale
• Safe Grid Search with Optimal Complexity
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• From Counting Stations to City-Wide Estimates: Data-Driven Bicycle Volume Extrapolation
• Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video
• SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control
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• Privacy Attacks on Network Embeddings
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• Amazon SageMaker Autopilot: a white box AutoML solution at scale
• Towards QoS-Aware Recommendations
• Persistent cohomology for data with multicomponent heterogeneous information
• Picking the low-hanging fruit: testing new physics at scale with active learning
• Identifying reionization-epoch galaxies with extreme levels of Lyman continuum leakage in James Webb Space Telescope surveys
• Fast local linear regression with anchor regularization
• Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity
• Automatic Quality Estimation for ASR System Combination
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• DropCluster: A structured dropout for convolutional networks
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• Classification of COVID-19 in CT Scans using Multi-Source Transfer Learning
• Evolutionary model discovery of causal factors behind the socio-agricultural behavior of the ancestral Pueblo
• Doc2Vec on the PubMed corpus: study of a new approach to generate related articles
• A Bayesian Decision Tree Algorithm
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• Computational limits to the legibility of the imaged human brain
• SenTion: A framework for Sensing Facial Expressions
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• The physical and the geometrical properties of simulated cold HI structures
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• Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data
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• Language Detection For Short Text Messages In Social Media
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• Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis
• abess: A Fast Best Subset Selection Library in Python and R
• fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library
• MeLIME: Meaningful Local Explanation for Machine Learning Models
• Improved histogram-based anomaly detector with the extended principal component features
• An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML
• Detecting optical transients using artificial neural networks and reference images from different surveys
• Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining Useful Life Estimation
• Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
• Deep Q-Learning Market Makers in a Multi-Agent Simulated Stock Market
• Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration
• Recommender systems and reinforcement learning for human-building interaction and context-aware support: A text mining-driven review of scientific literature
• Machine learning classification: case of Higgs boson CP state in H to tau tau decay at LHC
• Evaluation of Embedded Platforms for Lower Limb Prosthesis with Visual Sensing Capabilities
• Discrete Simulation Optimization for Tuning Machine Learning Method Hyperparameters
• Road State Inference via Channel State Information
• Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes
• Are Graph Neural Networks Miscalibrated?
• An Exploration of State-of-the-art Methods for Offensive Language Detection
• Workflow environments for advanced cyberinfrastructure platforms
• Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
• Atrial Fibrillation Detection Using Deep Features and Convolutional Networks
• SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
• UM-IU@LING at SemEval-2019 Task 6: Identifying Offensive Tweets Using BERT and SVMs
• Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications
• Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge
• Explaining The Efficacy of Counterfactually Augmented Data
• Adaptive Sample Selection for Robust Learning under Label Noise
• Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling
• Noisy Batch Active Learning with Deterministic Annealing
• Planet Hunters TESS V: a planetary system around a binary star, including a mini-Neptune in the habitable zone
• Characterization of gravitational-wave detector noise with fractals
• Regression-Based Model Error Compensation for Hierarchical MPC Building Energy Management System
• Neural Network Embeddings for Test Case Prioritization
• Endogenous Macrodynamics in Algorithmic Recourse
• OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples
• Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement
• SQLFlow: A Bridge between SQL and Machine Learning
• MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling
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• SWAT: A System for Detecting Salient Wikipedia Entities in Texts
• Implementation and Empirical Evaluation of a Quantum Machine Learning Pipeline for Local Classification
• Variational Inference In Pachinko Allocation Machines
• Predicting Hydroxyl Mediated Nucleophilic Degradation and Molecular Stability of RNA Sequences through the Application of Deep Learning Methods
• Boosting Algorithms for Delivery Time Prediction in Transportation Logistics
• Optimization of the injection beam line at the Cooler Synchrotron COSY using Bayesian Optimization
• Geometry-Aware Hamiltonian Variational Auto-Encoder
• Cognitive Assessment Estimation from Behavioral Responses in Emotional Faces Evaluation Task -- AI Regression Approach for Dementia Onset Prediction in Aging Societies
• Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models
• RealCause: Realistic Causal Inference Benchmarking
• Pattern and Anomaly Detection in Urban Temporal Networks
• InstantEmbedding: Efficient Local Node Representations
• Revisiting Random Forests in a Comparative Evaluation of Graph Convolutional Neural Network Variants for Traffic Prediction
• The TCGA Meta-Dataset Clinical Benchmark
• Content Planning for Neural Story Generation with Aristotelian Rescoring
• An Exploration of How Training Set Composition Bias in Machine Learning Affects Identifying Rare Objects
• Optimizing Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures
• Quantum matching pursuit: A quantum algorithm for sparse representations
• Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System
• Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task
• Nanophotonic Inverse Design with SPINS: Software Architecture and Practical Considerations
• Quick and Plenty: Achieving Low Delay and High Rate in 802.11ac Edge Networks
• Quantifying the Online Long-Term Interest in Research
• ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization
• A Dynamic Model for Bus Arrival Time Estimation based on Spatial Patterns using Machine Learning
• The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques
• A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning
• XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection
• Shape-only Features for Plant Leaf Identification
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• MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles
• Multi-Target Domain Adaptation via Unsupervised Domain Classification for Weather Invariant Object Detection
• Reproducible Performance Optimization of Complex Applications on the Edge-to-Cloud Continuum
• dtControl: Decision Tree Learning Algorithms for Controller Representation
• Classical and Machine Learning Methods for Event Reconstruction in NeuLAND
• The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics
• Embedding Node Structural Role Identity Using Stress Majorization
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• The Effects of Character-Level Data Augmentation on Style-Based Dating of Historical Manuscripts
• Learning from Crowds with Crowd-Kit
• Identification of Internal Faults in Indirect Symmetrical Phase Shift Transformers Using Ensemble Learning
• Blind Detection of Ultra-faint Streaks with a Maximum Likelihood Method
• Acoustic Identification of Ae. aegypti Mosquitoes using Smartphone Apps and Residual Convolutional Neural Networks
• Too Good To Be True: performance overestimation in (re)current practices for Human Activity Recognition
• Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes
• Explaining Predictions by Approximating the Local Decision Boundary
• Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta
• The microscopic mechanism of bulk melting of ice
• The Impact of Photometric Redshift Errors on Lensing Statistics in Ray-Tracing Simulations
• Human brain activity for machine attention
• Measuring Wikipedia Article Quality in One Dimension by Extending ORES with Ordinal Regression
• DLR : Toward a deep learned rhythmic representation for music content analysis
• ANAE: Learning Node Context Representation for Attributed Network Embedding
• On the Stochasticity of Aerosol-Cloud Interactions within a Data-driven Framework
• Embedded FPGA Developments in 130nm and 28nm CMOS for Machine Learning in Particle Detector Readout
• A pattern recognition approach for distinguishing between prose and poetry
• Efficient Structure-Informed Featurization and Property Prediction of Ordered, Dilute, and Random Atomic Structures
• Processing the structure of documents: Logical Layout Analysis of historical newspapers in French
• Improved selection of extremely red quasars with boxy CIV lines in BOSS
• An Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systems
• Using Single-Trial Representational Similarity Analysis with EEG to track semantic similarity in emotional word processing
• Distribution Regression for Sequential Data
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• Conic Scan-and-Cover algorithms for nonparametric topic modeling
• Neural Network Surrogate and Projected Gradient Descent for Fast and Reliable Finite Element Model Calibration: a Case Study on an Intervertebral Disc
• Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks
• GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
• Project CLAI: Instrumenting the Command Line as a New Environment for AI Agents
• Peptide Classification from Statistical Analysis of Nanopore Translocation Experiments
• A machine learning-based methodology for pulse classification in dual-phase xenon time projection chambers
• Reservoir Computing Using Non-Uniform Binary Cellular Automata
• Optimal Counterfactual Explanations for Scorecard modelling
• SCC: Automatic Classification of Code Snippets
• Automatic Learning to Detect Concept Drift
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• ControlBurn: Feature Selection by Sparse Forests
• A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition
• HALO7D III: Chemical Abundances of Milky Way Halo Stars from Medium Resolution Spectra
• Time Series Analysis of Clickstream Logs from Online Courses
• Predicting antimicrobial activity of conjugated oligoelectrolyte molecules via machine learning
• Structured Filtering
• ODTE -- An ensemble of multi-class SVM-based oblique decision trees
• Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing
• GANs beyond divergence minimization
• FLASH: A Faster Optimizer for SBSE Tasks
• Optimal binning: mathematical programming formulation
• Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction
• Binarsity: a penalization for one-hot encoded features in linear supervised learning
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• Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
• Lifelong Bayesian Optimization
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• SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning
• CGEMs: A Metric Model for Automatic Code Generation using GPT-3
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• Deep Learning with robustness to missing data: A novel approach to the detection of COVID-19
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• Machine Learning the Fates of Dark Matter Subhalos: A Fuzzy Crystal Ball
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• Genetic studies through the lens of gene networks
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• Helix: Holistic Optimization for Accelerating Iterative Machine Learning
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• Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case
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• Yield Spread Selection in Predicting Recession Probabilities: A Machine Learning Approach
• Universal Feature Selection Tool (UniFeat): An Open-Source Tool for Dimensionality Reduction
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• Configuring Test Generators using Bug Reports: A Case Study of GCC Compiler and Csmith
• PPCA: Privacy-preserving Principal Component Analysis Using Secure Multiparty Computation(MPC)
• MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models
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• LqRT: Robust Hypothesis Testing of Location Parameters using Lq-Likelihood-Ratio-Type Test in Python
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• Embedding Adaptation is Still Needed for Few-Shot Learning
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• Pruned Neural Networks are Surprisingly Modular
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• Towards Ground Truth Explainability on Tabular Data
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• MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance
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• Patchnet: Interpretable Neural Networks for Image Classification
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• Supernova Light Curves Approximation based on Neural Network Models
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• A Forward Backward Greedy approach for Sparse Multiscale Learning
• The Astrophysical Variance in Gaia-RVS Spectra
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• Chronic Pain and Language: A Topic Modelling Approach to Personal Pain Descriptions
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• Using text mining and machine learning for detection of child abuse
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• Adversarial Transferability in Wearable Sensor Systems
• Privacy-Preserving Training of Tree Ensembles over Continuous Data
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• Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more
• TALOS (Total Automation of LabVIEW Operations for Science): A framework for autonomous control systems for complex experiments
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• Learning to Configure Mathematical Programming Solvers by Mathematical Programming
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• Measuring Generalization with Optimal Transport
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• HAMLET: A Hierarchical Agent-based Machine Learning Platform
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• Classification with abstention but without disparities
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• Guiding the Creation of Deep Learning-based Object Detectors
• Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model
• Toyz: A Framework for Scientific Analysis of Large Datasets and Astronomical Images
• Neural Feature Embedding for User Response Prediction in Real-Time Bidding (RTB)
• Signatures of Massive Black Hole Merger Host Galaxies from Cosmological Simulations II: Unique Stellar Kinematics in Integral Field Unit Spectroscopy
• Better Algorithms for Individually Fair $k$-Clustering
• Chronic pain patient narratives allow for the estimation of current pain intensity
• Adversarial robustness via robust low rank representations
• Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets
• Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models
• Vocal markers from sustained phonation in Huntington's Disease
• Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks
• Constructing a simulation surrogate with partially observed output
• Tele-Correlation: Calibrating Shear-Shear Correlation with Real Data
• Inferring contributions from unresolved point sources to diffuse emissions measured in UV sky surveys: general method and SOHO/SWAN case study
• Feature Reduction Method Comparison Towards Explainability and Efficiency in Cybersecurity Intrusion Detection Systems
• Finding Needles in the Haystack: Harnessing Syslogs for Data Center Management
• Reconstruction of Ordinary Differential Equations From Time Series Data
• Single-View 3D Reconstruction of Correlated Gamma-Neutron Sources
• Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study
• Wearing Masks Implies Refuting Trump?: Towards Target-specific User Stance Prediction across Events in COVID-19 and US Election 2020
• The G 305 Star-forming Region: II. Irregular variable stars
• Optimization for L1-Norm Error Fitting via Data Aggregation
• Non-intrusive reduced order models for partitioned fluid-structure interactions
• Fourier Sparse Leverage Scores and Approximate Kernel Learning
• Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning
• Model Monitoring and Dynamic Model Selection in Travel Time-series Forecasting
• AstronomicAL: An interactive dashboard for visualisation, integration and classification of data using Active Learning
• GIQA: Generated Image Quality Assessment
• A Facial Feature Discovery Framework for Race Classification Using Deep Learning
• MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization
• Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting
• Towards Rate Estimation for Transient Surveys I: Assessing Transient Detectability and Volume Sensitivity for iPTF
• Graph algorithms for predicting subcellular localization at the pathway level
• Embedding Physics Domain Knowledge into a Bayesian Network Enables Layer-by-Layer Process Innovation for Photovoltaics
• CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq
• Characterizing English Variation across Social Media Communities with BERT
• A simpler spectral approach for clustering in directed networks
• Dense Residual Network: Enhancing Global Dense Feature Flow for Character Recognition
• Uplift Modeling for Multiple Treatments with Cost Optimization
• Fairness with Continuous Optimal Transport
• Determining offshore wind installation times using machine learning and open data
• A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Textile Manufacturing Process Optimization
• Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks
• Early Indicators of Scientific Impact: Predicting Citations with Altmetrics
• Predicting the Critical Number of Layers for Hierarchical Support Vector Regression
• Early Life Cycle Software Defect Prediction. Why? How?
• AutoGMM: Automatic Gaussian Mixture Modeling in Python
• Exemplar Guided Active Learning
• Run, Forest, Run? On Randomization and Reproducibility in Predictive Software Engineering
• AFrame: Extending DataFrames for Large-Scale Modern Data Analysis (Extended Version)
• Hybrid localized graph kernel for machine learning energy-related properties of molecules and solids
• Automatic Microprocessor Performance Bug Detection
• Quantum locally linear embedding for nonlinear dimensionality reduction
• Agnostic Learning for Packing Machine Stoppage Prediction in Smart Factories
• Feature Engineering and Ensemble Modeling for Paper Acceptance Rank Prediction
• TribeFlow: Mining & Predicting User Trajectories
• Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017
• WS4A: a Biomedical Question and Answering System based on public Web Services and Ontologies
• Do Differences in Values Influence Disagreements in Online Discussions?
• Exploring the Solar System with the NOIRLab Source Catalog I: Detecting Objects with CANFind
• Detection of H${}_2$ in the TWA 7 System: A Probable Circumstellar Origin
• Bayesian Optimization Algorithms for Accelerator Physics
• Explainable AI for Engineering Design: A Unified Approach of Systems Engineering and Component- Based Deep Learning Demonstrated by Energy- Efficient Building Design
• Automated solver selection for simulation of multiphysics processes in porous media
• Light Curve Classification with DistClassiPy: a new distance-based classifier
• Leveraging Text and Knowledge Bases for Triple Scoring: An Ensemble Approach - The BOKCHOY Triple Scorer at WSDM Cup 2017
• Noninvasive identification of carbon-based black pigments with pump-probe microscopy
• Part-of-Speech Tagging for Historical English
• Growing Wikipedia Across Languages via Recommendation
• Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning
• Targeted Advertising Based on Browsing History
• Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples
• Predicting trajectory behaviour via machine-learned invariant manifolds
• Insights into Dark Matter Direct Detection Experiments: Decision Trees versus Deep Learning
• Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems
• Human Understandable Explanation Extraction for Black-box Classification Models Based on Matrix Factorization
• On Coupling Particle Filter Trajectories
• Improving random walk rankings with feature selection and imputation
• A multi-temporal dataset for mapping burned areas in the Brazilian Cerrado using time series of remote sensing imagery
• Modelling of nucleate pool boiling on coated substrates using machine learning and empirical approaches
• Asking Too Much? The Rhetorical Role of Questions in Political Discourse
• Single-anchor UWB Localization using Channel Impulse Response Distributions
• A Stochastic Operator Framework for Optimization and Learning with Sub-Weibull Errors
• Reproducible Machine Learning-based Voice Pathology Detection: Introducing the Pitch Difference Feature
• A Machine Learning Approach for Evaluating Creative Artifacts
• Relativistic Reflection Modeling in AGN and Related Variability from PCA: A Brief Review
• Classifier Chain Networks for Multi-Label Classification
• Predicting Workload in Virtual Flight Simulations using EEG Features (Including Post-hoc Analysis in Appendix)
• A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media
• Speeding up Python-based Lagrangian Fluid-Flow Particle Simulations via Dynamic Collection Data Structures
• Improving Figures of Merit for Quantum Circuit Compilation
• Fast Convolutive Nonnegative Matrix Factorization Through Coordinate and Block Coordinate Updates
• Correlational Neural Networks
• On the unique evolutionary mechanisms of massive quiescent galaxies in the epoch of reionisation
• Joint Detection of Malicious Domains and Infected Clients
• Surrogate models for lightcurves and photosphere properties of Type II supernovae
• Rethinking Drone-Based Search and Rescue with Aerial Person Detection
• Low Dimensional Embedding of Climate Data for Radio Astronomical Site Testing in the Colombian Andes
• Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron
• Empirical Risk Minimization under Random Censorship: Theory and Practice
• Minimum-Margin Active Learning
• Learning step sizes for unfolded sparse coding
• Comparing directed networks via denoising graphlet distributions
• Link Mining for Kernel-based Compound-Protein Interaction Predictions Using a Chemogenomics Approach
• Improving Mechanical Ventilator Clinical Decision Support Systems with A Machine Learning Classifier for Determining Ventilator Mode
• Automatically Selecting Striking Images for Social Cards
• A Decade of Mal-Activity Reporting: A Retrospective Analysis of Internet Malicious Activity Blacklists
• Calibrated simplex-mapping classification
• A Symbolic Machine Learning Approach for Cybersickness Potential-Cause Estimation
• An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves
• Continual Learning Using World Models for Pseudo-Rehearsal
• Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data
• Oversampling techniques for predicting COVID-19 patient length of stay
• Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank
• Scaling K2 VIII: Short-Period Sub-Neptune Occurrence Rates Peak Around Early-Type M Dwarfs
• A Minimalistic Approach to Predict and Understand the Relation of App Usage with Students' Academic Performances
• Understanding Composition of Word Embeddings via Tensor Decomposition
• Terrain Classification for the Spot Quadrupedal Mobile Robot Using Only Proprioceptive Sensing
• PrivPy: Enabling Scalable and General Privacy-Preserving Machine Learning
• LNEMLC: Label Network Embeddings for Multi-Label Classification
• An Improved and Physically-Motivated Scheme for Matching Galaxies with Dark Matter Halos
• Deep Representation Learning for Clustering of Health Tweets
• Dark-ages Reionization and Galaxy Formation Simulation - XIV. Gas accretion, cooling and star formation in dwarf galaxies at high redshift
• Feature Importance in the Context of Traditional and Just-In-Time Software Defect Prediction Models
• GuiltyWalker: Distance to illicit nodes in the Bitcoin network
• Collective Entity Disambiguation with Structured Gradient Tree Boosting
• Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose
• A comparative study of source-finding techniques in HI emission line cubes using SoFiA, MTObjects, and supervised deep learning
• Sharing pattern submodels for prediction with missing values
• FairUDT: Fairness-aware Uplift Decision Trees
• A simple model for short-range ordering kinetics in multi-principal element alloys
• COVIDX: Computer-aided diagnosis of Covid-19 and its severity prediction with raw digital chest X-ray images
• Multi-scale stamps for real-time classification of alert streams
• Effective Multi-Stage Training Model For Edge Computing Devices In Intrusion Detection
• Query2Vec: An Evaluation of NLP Techniques for Generalized Workload Analytics
• Deconstructing a galaxy: colour distributions of point sources in Messier 83
• Machine Learning for the edge energies of high symmetry Au nanoparticles
• Prediction of cognitive decline for enrichment of Alzheimer's disease clinical trials
• Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection
• Ensemble Squared: A Meta AutoML System
• Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based Approach
• The Software Heritage License Dataset (2022 Edition)
• Safe Predictors for Enforcing Input-Output Specifications
• Predicting Student Performance in Interactive Online Question Pools Using Mouse Interaction Features
• Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
• DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps
• Semi-supervised NMF Models for Topic Modeling in Learning Tasks
• Discourse Coherence in the Wild: A Dataset, Evaluation and Methods
• Poincare: Recommending Publication Venues via Treatment Effect Estimation
• TAPE: Assessing Few-shot Russian Language Understanding
• Benchmarking Automated Machine Learning Methods for Price Forecasting Applications
• Towards A Unified Analysis of Random Fourier Features
• Optical turbulence forecast over short timescales using machine learning techniques
• Explainable Artificial Intelligence for Improved Modeling of Processes
• Cultural evolution via iterated learning and communication explains efficient color naming systems
• Geometry of Graph Partitions via Optimal Transport
• In Search of Robust Measures of Generalization
• Immigration Document Classification and Automated Response Generation
• Breadth-first, Depth-next Training of Random Forests
• A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality
• An empirical study of pretrained representations for few-shot classification
• A greedy anytime algorithm for sparse PCA
• Do Explicit Alignments Robustly Improve Multilingual Encoders?
• A Simple Framework for Uncertainty in Contrastive Learning
• Discriminating between Indo-Aryan Languages Using SVM Ensembles
• DN at SemEval-2023 Task 12: Low-Resource Language Text Classification via Multilingual Pretrained Language Model Fine-tuning
• Galactic cartography with SkyMapper: I. Population sub-structure and the stellar number density of the inner halo
• Signatured Deep Fictitious Play for Mean Field Games with Common Noise
• Learning-Based Safety-Stability-Driven Control for Safety-Critical Systems under Model Uncertainties
• Multi-Task Learning for Interpretable Weakly Labelled Sound Event Detection
• Unbalanced Optimal Transport through Non-negative Penalized Linear Regression
• Transportation Modes Classification Using Feature Engineering
• Stochastic Threshold Model Trees: A Tree-Based Ensemble Method for Dealing with Extrapolation
• C2-GaMe: Classification of Cluster Galaxy Membership with Machine Learning
• A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments
• A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms
• Structural Characterization of Grain Boundaries and Machine Learning of Grain Boundary Energy and Mobility
• Next Waves in Veridical Network Embedding
• MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval
• Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing
• What makes a good Node.js package? Investigating Users, Contributors, and Runnability
• DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
• On the Integrity of Cross-Origin JavaScripts
• Hierarchical Text Classification of Urdu News using Deep Neural Network
• Benchmarking Unsupervised Object Representations for Video Sequences
• Orthogonal Extended Infomax Algorithm
• Quick Question: Interrupting Users for Microtasks with Reinforcement Learning
• Suspicious News Detection Using Micro Blog Text
• Transfer Learning in Electronic Health Records through Clinical Concept Embedding
• Canonical Correlation Analysis for Analyzing Sequences of Medical Billing Codes
• Cost-sensitive Multi-class AdaBoost for Understanding Driving Behavior with Telematics
• Unfolding with Gaussian Processes
• Dynamic Feature Scaling for K-Nearest Neighbor Algorithm
• mvlearn: Multiview Machine Learning in Python
• A Fuzzy Classification Framework to Identify Equivalent Atoms in Complex Materials and Molecules
• Using Sentiment Induction to Understand Variation in Gendered Online Communities
• Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron
• An Extensible Benchmark Suite for Learning to Simulate Physical Systems
• Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach
• Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets
• The algebra and machine representation of statistical models
• Cross-lingual Emotion Intensity Prediction
• Bayesian group latent factor analysis with structured sparsity
• Efficient AutoML Pipeline Search with Matrix and Tensor Factorization
• Partitioned Learned Bloom Filter
• Causal Emergence in Discrete and Continuous Dynamical Systems
• EdgeSlice: Slicing Wireless Edge Computing Network with Decentralized Deep Reinforcement Learning
• The Impact of Reinitialization on Generalization in Convolutional Neural Networks
• A machine learning based software pipeline to pick the variable ordering for algorithms with polynomial inputs
• Comparison and Benchmark of Graph Clustering Algorithms
• On the Explanatory Power of Decision Trees
• Modification of Fox-Wolfram Moments for Hadron Colliders
• Sound-Dr: Reliable Sound Dataset and Baseline Artificial Intelligence System for Respiratory Illnesses
• Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi
• Autoencoder Regularized Network For Driving Style Representation Learning
• COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization
• Improving On-Screen Sound Separation for Open-Domain Videos with Audio-Visual Self-Attention
• Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting
• Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder
• Stable discovery of interpretable subgroups via calibration in causal studies
• Don't be a Victim During a Pandemic! Analysing Security and Privacy Threats in Twitter During COVID-19
• Learning distributed representations of graphs with Geo2DR
• Can Information Flows Suggest Targets for Interventions in Neural Circuits?
• DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension
• IrEne: Interpretable Energy Prediction for Transformers
• Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models
• Online Clustering by Penalized Weighted GMM
• Priority-based Post-Processing Bias Mitigation for Individual and Group Fairness
• Binary Debloating for Security via Demand Driven Loading
• ADARES: Adaptive Resource Management for Virtual Machines
• ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction
• SAFE ML: Surrogate Assisted Feature Extraction for Model Learning
• Nanostructure phase and interface engineering via controlled Au self-assembly on GaAs(001) surface
• Empirical observations on the effects of data transformation in machine learning classification of geological domains
• Grafting for Combinatorial Boolean Model using Frequent Itemset Mining
• DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots
• Acoustic Sounds for Wellbeing: A Novel Dataset and Baseline Results
• Story Cloze Ending Selection Baselines and Data Examination
• Deep Distribution Regression
• Machine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization
• Robust object extraction from remote sensing data
• Data adaptation in HANDY economy-ideology model
• Conditional independence testing: a predictive perspective
• Orometric Methods in Bounded Metric Data
• Interpretable Feature Construction for Time Series Extrinsic Regression
• KnowBias: A Novel AI Method to Detect Polarity in Online Content
• Better Technical Debt Detection via SURVEYing
• Scene Recognition by Combining Local and Global Image Descriptors
• Learning Structural Kernels for Natural Language Processing
• Mapping Moral Valence of Tweets Following the Killing of George Floyd
• Random Forests for Adaptive Nearest Neighbor Estimation of Information-Theoretic Quantities
• One-Round Active Learning
• Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing
• Machine Learning for Mediation in Armed Conflicts
• MLSolv-A: A Novel Machine Learning-Based Prediction of Solvation Free Energies from Pairwise Atomistic Interactions
• Trajectory Based Podcast Recommendation
• InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity
• Using Random Forest Machine Learning Algorithms in Binary Supernovae Classification
• Neural Greedy Pursuit for Feature Selection
• Both Stellar Mass and Gravitational Potential Shape the Gas-Phase Metallicity
• Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery
• Improving type information inferred by decompilers with supervised machine learning
• Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives
• Topological Order in Densely Packed Anisotropic Colloids
• The varying importance of extrinsic factors in the success of startup fundraising: competition at early-stage and networks at growth-stage
• Reconstruction and Membership Inference Attacks against Generative Models
• Multi-Target Tracking with Transferable Convolutional Neural Networks
• Exploiting Unsupervised Pre-training and Automated Feature Engineering for Low-resource Hate Speech Detection in Polish
• User-transparent Distributed TensorFlow
• Pre-treatment of outliers and anomalies in plant data: Methodology and case study of a Vacuum Distillation Unit
• Data-Driven Malaria Prevalence Prediction in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: Harnessing Machine Learning Approaches and 22-years of Prospectively Collected Data
• Urban Data Streams and Machine Learning: A Case of Swiss Real Estate Market
• Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks
• Objective discovery of dominant dynamical processes with intelligible machine learning
• partycls: A Python package for structural clustering
• Piecewise linear regression and classification
• Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data
• Microscopic constraints for the equation of state and structure of neutron stars: a Bayesian model mixing framework
• Topological analysis of the complex SSH model using the quantum geometric tensor
• Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning
• BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models
• Defending Against Adversarial Attacks in Transmission- and Distribution-level PMU Data
• Multi-view Deep One-class Classification: A Systematic Exploration
• Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches
• PyTorch Tabular: A Framework for Deep Learning with Tabular Data
• Automating concept-drift detection by self-evaluating predictive model degradation
• From Engineering Diagrams to Graphs: Digitizing P&IDs with Transformers
• A Toolbox for Design of Experiments for Energy Systems in Co-Simulation and Hardware Tests
• GLAD: Learning Sparse Graph Recovery
• Identifying Invariant Factors Across Multiple Environments with KL Regression
• Predicting the Programming Language of Questions and Snippets of StackOverflow Using Natural Language Processing
• On the Generalization Properties of Deep Learning for Aircraft Fuel Flow Estimation Models
• Detecting Intentional Lexical Ambiguity in English Puns
• Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset
• Real-time Load Prediction with High Velocity Smart Home Data Stream
• Exploring Dimensionality Reductions with Forward and Backward Projections
• Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity
• An Ensemble Classifier for Predicting the Onset of Type II Diabetes
• Variational autoencoders for tissue heterogeneity exploration from (almost) no preprocessed mass spectrometry imaging data
• Investigating the CREDIT history of supernova remnants as cosmic-ray sources
• Query Log Compression for Workload Analytics
• Top quark physics in the Large Hadron Collider era
• Understanding Dynamics of Nonlinear Representation Learning and Its Application
• Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments
• Cloaker Catcher: A Client-based Cloaking Detection System
• Deep Inverse Feature Learning: A Representation Learning of Error
• Validation of TOI-1221 b: A warm sub-Neptune exhibiting TTVs around a Sun-like star
• Probabilistic partition of unity networks: clustering based deep approximation
• Food for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program
• Experimental and Numerical Study of Microcavity Filling Regimes for Lab-on-a-Chip Applications
• Automatic TM Cleaning through MT and POS Tagging: Autodesk's Submission to the NLP4TM 2016 Shared Task
• Building Classifiers to Predict the Start of Glucose-Lowering Pharmacotherapy Using Belgian Health Expenditure Data
• Detecting Distrust Towards the Skills of a Virtual Assistant Using Speech
• Fast Super-Paramagnetic Clustering
• Random Hyperboxes
• The network signature of constellation line figures
• Incremental and Parallel Machine Learning Algorithms with Automated Learning Rate Adjustments
• Guardians of DNS Integrity: A Remote Method for Identifying DNSSEC Validators Across the Internet
• MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository for Fake News Detection and a Baseline Architecture for Classification
• Classifying histograms of medical data using information geometry of beta distributions
• A dynamical geography of observed trends in the global ocean
• Machine-Learning Enhanced Predictors for Accelerated Convergence of Partitioned Fluid-Structure Interaction Simulations
• Robust Zero-crossings Detection in Noisy Signals using Topological Signal Processing
• Batch VUV4 Characterization for the SBC-LAr10 scintillating bubble chamber
• QUACK: Quantum Aligned Centroid Kernel
• Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series Measurements
• Using gamma regression for photometric redshifts of survey galaxies
• Sifaka: Text Mining Above a Search API
• Role of host galaxy in the formation of multiple stellar populations: Analysis of NGC 1786 and NGC 1898
• Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
• Multiscale modeling of solute diffusion in triblock copolymer membranes
• SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks
• Geographical Knowledge-driven Representation Learning for Remote Sensing Images
• Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition
• Retiring Adult: New Datasets for Fair Machine Learning
• Center-of-Mass-based Robust Grasp Planning for Unknown Objects Using Tactile-Visual Sensors
• Improving Malware Detection Accuracy by Extracting Icon Information
• A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
• Exploring helical dynamos with machine learning
• Correlation inference attacks against machine learning models
• Towards a more efficient representation of imputation operators in TPOT
• Node-By-Node Greedy Deep Learning for Interpretable Features
• A Unified Framework for Multiclass and Multilabel Support Vector Machines
• Issue Report Validation in an Industrial Context
• Methods of machine learning for the analysis of cosmic rays mass composition with the KASCADE experiment data
• A Novel Random Forest Dissimilarity Measure for Multi-View Learning
• T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems
• Vaccine-escape and fast-growing mutations in the United Kingdom, the United States, Singapore, Spain, South Africa, and other COVID-19-devastated countries
• RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce
• Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts
• Optimization of process parameters in additive manufacturing based on the finite element method
• Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing
• YASENN: Explaining Neural Networks via Partitioning Activation Sequences
• Research on Gender-related Fingerprint Features
• Efficacy of Statistical and Artificial Intelligence-based False Information Cyberattack Detection Models for Connected Vehicles
• Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements
• Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC Supercomputer (preliminary version)
• HyperTools: A Python toolbox for visualizing and manipulating high-dimensional data
• Toward a generic representation of random variables for machine learning
• Denial-of-Service Attack Detection via Differential Analysis of Generalized Entropy Progressions
• Inferring Person-to-person Proximity Using WiFi Signals
• Stellar activity and transits
• Kernel classification of connectomes based on earth mover's distance between graph spectra
• Level set image segmentation with velocity term learned from data with applications to lung nodule segmentation
• Tau lepton identification and reconstruction: a new frontier for jet-tagging ML algorithms
• Interpreting Imagined Speech Waves with Machine Learning techniques
• DISCERN: Diversity-based Selection of Centroids for k-Estimation and Rapid Non-stochastic Clustering
• Unsupervised Document Embedding via Contrastive Augmentation
• Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations
• A Probabilistic Graph Coupling View of Dimension Reduction
• Modelling the COVID-19 virus evolution with Incremental Machine Learning
• Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence
• Discourse Level Factors for Sentence Deletion in Text Simplification
• Malicious Web Request Detection Using Character-level CNN
• Defeating Opaque Predicates Statically through Machine Learning and Binary Analysis
• Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data
• Recognizing Magnification Levels in Microscopic Snapshots
• Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack
• ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning
• Lattice PUF: A Strong Physical Unclonable Function Provably Secure against Machine Learning Attacks
• Primal-Dual Active-Set Methods for Isotonic Regression and Trend Filtering
• IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks
• Violence Detection in Videos
• Estimating effective higher order terms in the post-Newtonian binding energy and gravitational-wave flux: Non-spinning compact binary inspiral
• Class Vectors: Embedding representation of Document Classes
• Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering
• Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification
• On the mapping between Hopfield networks and Restricted Boltzmann Machines
• BloomNet: A Robust Transformer based model for Bloom's Learning Outcome Classification
• Data-driven Localization and Estimation of Disturbance in the Interconnected Power System
• Importance Reweighting for Biquality Learning
• CLEAR: Coverage-based Limiting-cell Experiment Analysis for RNA-seq
• PhyloTransformer: A Discriminative Model for Mutation Prediction Based on a Multi-head Self-attention Mechanism
• Distributed Learning of Finite Gaussian Mixtures
• Deep Learning-Based Discrete Calibrated Survival Prediction
• From global to local MDI variable importances for random forests and when they are Shapley values
• Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings
• Feature Selection for Huge Data via Minipatch Learning
• Probing Acoustic Representations for Phonetic Properties
• Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms
• Prognosis Prediction in Covid-19 Patients from Lab Tests and X-ray Data through Randomized Decision Trees
• Parkinson's Disease Diagnosis Using Deep Learning
• Kernel-based Outlier Detection using the Inverse Christoffel Function
• A Reactive Autonomous Camera System for the RAVEN II Surgical Robot
• Cross-lingual Document Retrieval using Regularized Wasserstein Distance
• A Neurochaos Learning Architecture for Genome Classification
• Consumer Behaviour in Retail: Next Logical Purchase using Deep Neural Network
• An Application of CNNs to Time Sequenced One Dimensional Data in Radiation Detection
• Is Attention always needed? A Case Study on Language Identification from Speech
• From unbiased MDI Feature Importance to Explainable AI for Trees
• To Trust or to Stockpile: Modeling Human-Simulation Interaction in Supply Chain Shortages
• Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions
• Shared Independent Component Analysis for Multi-Subject Neuroimaging
• How research programs come apart: the example of supersymmetry and the disunity of physics
• Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties
• a-Tucker: Input-Adaptive and Matricization-Free Tucker Decomposition for Dense Tensors on CPUs and GPUs
• A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization
• PACMan2: Next Steps in Proposal Review Management
• Semi-supervised classification by reaching consensus among modalities
• EMAP: Explanation by Minimal Adversarial Perturbation
• DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks
• Improved algorithms for determination of particle directions with Timepix3
• Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation
• The Effect of Points Dispersion on the $k$-nn Search in Random Projection Forests
• Why Software Effort Estimation Needs SBSE
• Arbitrary Discrete Sequence Anomaly Detection with Zero Boundary LSTM
• A Systematic Comparison of Deep Learning Architectures in an Autonomous Vehicle
• Classifying sleep states using persistent homology and Markov chain: a Pilot Study
• Graph Based Relational Features for Collective Classification
• GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms
• A Data-Efficient Approach to Behind-the-Meter Solar Generation Disaggregation
• People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation--A Comparison Between COVID and General Narratives on Twitter
• RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments
• Machine learning based event reconstruction for the MUonE experiment
• Practical Transfer Learning for Bayesian Optimization
• Learning to Model the Grasp Space of an Underactuated Robot Gripper Using Variational Autoencoder
• Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle (Extended Version)
• An AI Architecture with the Capability to Classify and Explain Hardware Trojans
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• On Spectrogram Analysis in a Multiple Classifier Fusion Framework for Power Grid Classification Using Electric Network Frequency
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• Enhancing iteration performance on distributed task-based workflows
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• Domain Knowledge Injection in Bayesian Search for New Materials
• Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP
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• Mocking Faint Black Holes during Reionization
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• Analyzing the tree-layer structure of Deep Forests
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• Towards constraining triple gluon operators through tops
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• Support Vector Machine for Determining Euler Angles in an Inertial Navigation System
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• NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning
• Machine Learning approach to the Floquet--Lindbladian problem
• Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models
• TREX: Tree-Ensemble Representer-Point Explanations
• Improving the Learnability of Machine Learning APIs by Semi-Automated API Wrapping
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• Classification of Audio Segments in Call Center Recordings using Convolutional Recurrent Neural Networks
• A dataset of mentorship in science with semantic and demographic estimations
• Optimal Transport using GANs for Lineage Tracing
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• Efficient Conformal Prediction via Cascaded Inference with Expanded Admission
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• Learning Objective Boundaries for Constraint Optimization Problems
• Learning Primal Heuristics for Mixed Integer Programs
• Fair Decision Rules for Binary Classification
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• Representation Consolidation for Training Expert Students
• Towards Feature-free TSP Solver Selection: A Deep Learning Approach
• Chi-square and normal inference in high-dimensional multi-task regression
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• Accessing United States Bulk Patent Data with patentpy and patentr
• Learning to Recognize Actionable Static Code Warnings (is Intrinsically Easy)
• Subjective Question Answering: Deciphering the inner workings of Transformers in the realm of subjectivity
• Generalized Multi-view Shared Subspace Learning using View Bootstrapping
• Improved supervised prediction of aging-related genes via weighted dynamic network analysis
• A Machine-Learning-Ready Dataset Prepared from the Solar and Heliospheric Observatory Mission
• Hidden Markov Neural Networks
• A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks
• VTLayout: Fusion of Visual and Text Features for Document Layout Analysis
• On Faster Convergence of Scaled Sign Gradient Descent
• Random Forest Classifier Based Prediction of Rogue waves on Deep Oceans
• MONITOR: A Multimodal Fusion Framework to Assess Message Veracity in Social Networks
• ArGoT: A Glossary of Terms extracted from the arXiv
• AppQ: Warm-starting App Recommendation Based on View Graphs
• A Dynamic, Hierarchical Resource Model for Converged Computing
• Targeting HIV-related Medication Side Effects and Sentiment Using Twitter Data
• Scaling and Acceleration of Three-dimensional Structure Determination for Single-Particle Imaging Experiments with SpiniFEL
• conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers
• Clustering to the Fewest Clusters Under Intra-Cluster Dissimilarity Constraints
• Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures
• Tribuo: Machine Learning with Provenance in Java
• A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds
• Deep learning-based detection of intravenous contrast in computed tomography scans
• Predicting Antimicrobial Resistance in the Intensive Care Unit
• Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: a data-driven approach
• Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction
• Sengi: a small, fast, interactive viewer for spectral outputs from stellar population synthesis models
• Machine Intelligence at the Edge with Learning Centric Power Allocation
• Predicting laboratory earthquakes with machine learning
• Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly
• Transfer Learning for Aided Target Recognition: Comparing Deep Learning to other Machine Learning Approaches
• Automating Artifact Detection in Video Games
• Sampling Bias in Deep Active Classification: An Empirical Study
• Efficient Transfer Bayesian Optimization with Auxiliary Information
• Automated Fashion Size Normalization
• QuicK-means: Acceleration of K-means by learning a fast transform
• Better sampling in explanation methods can prevent dieselgate-like deception
• The lexical and grammatical sources of neg-raising inferences
• A Heuristic for Dynamic Output Predictive Control Design for Uncertain Nonlinear Systems
• Learning to Match Mathematical Statements with Proofs
• What's in the box? Explaining the black-box model through an evaluation of its interpretable features
• Classification based on Topological Data Analysis
• Understanding the input-output relationship of neural networks in the time series forecasting radon levels at Canfranc Underground Laboratory
• Efficient Encrypted Inference on Ensembles of Decision Trees
• Predicting Community Smells' Occurrence on Individual Developers by Sentiments
• NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition
• Machine Learning to Predict Developmental Neurotoxicity with High-throughput Data from 2D Bio-engineered Tissues
• Bayesian Optimization with Approximate Set Kernels
• MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking
• Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification
• EXPATS: A Toolkit for Explainable Automated Text Scoring
• DirectProbe: Studying Representations without Classifiers
• Multimodal Representation Learning using Deep Multiset Canonical Correlation
• Z-Sequence: Photometric redshift predictions for galaxy clusters with sequential random k-nearest neighbours
• Deciphering the Protein Motion of S1 Subunit in SARS-CoV-2 Spike Glycoprotein Through Integrated Computational Methods
• Ensemble Deep Learning on Time-Series Representation of Tweets for Rumor Detection in Social Media
• Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users
• ObjTables: structured spreadsheets that promote data quality, reuse, and integration
• Formal Methods with a Touch of Magic
• Evidence for Coupling of Evolved Star Atmospheres and Spiral Arms of the Milky Way
• Boosting on the shoulders of giants in quantum device calibration
• Space-Time VON CRAMM: Evaluating Decision-Making in Tennis with Variational generatiON of Complete Resolution Arcs via Mixture Modeling
• Detecting Problem Statements in Peer Assessments
• On The Chain Rule Optimal Transport Distance
• Testing Changes in Communities for the Stochastic Block Model
• Review of COVID-19 Antibody Therapies
• Supervised dimensionality reduction by a Linear Discriminant Analysis on pre-trained CNN features
• Developing a Bubble Chamber Particle Discriminator Using Semi-Supervised Learning
• TGE-viz : Transition Graph Embedding for Visualization of Plan Traces and Domains
• Classifying Network Vendors at Internet Scale
• Automated Empathy Detection for Oncology Encounters
• Defining Big Data Analytics Benchmarks for Next Generation Supercomputers
• It Is Likely That Your Loss Should be a Likelihood
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• Attribution Methods Reveal Flaws in Fingerprint-Based Virtual Screening
• Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?
• Real time Traffic Flow Parameters Prediction with Basic Safety Messages at Low Penetration of Connected Vehicles
• Binary Stochastic Filtering: feature selection and beyond
• Not Just Depressed: Bipolar Disorder Prediction on Reddit
• Efficient detection of adversarial images
• INFODENS: An Open-source Framework for Learning Text Representations
• Disentangling the Gauss-Newton Method and Approximate Inference for Neural Networks
• Determining Optimal Number of k-Clusters based on Predefined Level-of-Similarity
• Practical and sample efficient zero-shot HPO
• Computing Optimal Decision Sets with SAT
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• Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!
• Multimodal neural pronunciation modeling for spoken languages with logographic origin
• Filling Missing Paths: Modeling Co-occurrences of Word Pairs and Dependency Paths for Recognizing Lexical Semantic Relations
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• Using Ensemble Classifiers to Detect Incipient Anomalies
• Defending against substitute model black box adversarial attacks with the 01 loss
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• Emulating malware authors for proactive protection using GANs over a distributed image visualization of dynamic file behavior
• A Non-negative Matrix Factorization Based Method for Quantifying Rhythms of Activity and Sleep and Chronotypes Using Mobile Phone Data
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• Predicting Regression Probability Distributions with Imperfect Data Through Optimal Transformations
• Feature selection in machine learning: Rényi min-entropy vs Shannon entropy
• QActor: On-line Active Learning for Noisy Labeled Stream Data
• IPBoost -- Non-Convex Boosting via Integer Programming
• pySiDR: Python Event Reconstruction for SiD
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• UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa Indonesia
• Cricket stroke extraction: Towards creation of a large-scale cricket actions dataset
• Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing
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• Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining
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• Optimizing Revenue over Data-driven Assortments
• Quantifying Networked Resilience via Multi-Scale Feedback Loops in Water Distribution Networks
• Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit
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• Monte Carlo study of a single SST-1M prototype for the Cherenkov Telescope Array
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• Logic-based Clustering and Learning for Time-Series Data
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• Inverting Variational Autoencoders for Improved Generative Accuracy
• Power Data Classification: A Hybrid of a Novel Local Time Warping and LSTM
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• Impact of Feature Selection on Micro-Text Classification
• Inference of Personal Attributes from Tweets Using Machine Learning
• Automatic Error Analysis of Human Motor Performance for Interactive Coaching in Virtual Reality
• Modelling the gas kinematics of an atypical Lyman-alpha emitting compact dwarf galaxy
• A Sequence-Based Mesh Classifier for the Prediction of Protein-Protein Interactions
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• Modeling Electrical Daily Demand in Presence of PHEVs in Smart Grids with Supervised Learning
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• Mapping distributional to model-theoretic semantic spaces: a baseline
• Using Natural Language Processing to Screen Patients with Active Heart Failure: An Exploration for Hospital-wide Surveillance
• Using machine learning for medium frequency derivative portfolio trading
• Using SVM to pre-classify government purchases
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• Inferring Passenger Type from Commuter Eigentravel Matrices
• Towards Automatic Learning of Heuristics for Mechanical Transformations of Procedural Code
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• ThetA -- fast and robust clustering via a distance parameter
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• Using convolutional neural networks for the classification of breast cancer images
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• Faithful and Plausible Explanations of Medical Code Predictions
• Liftago On-Demand Transport Dataset and Market Formation Algorithm Based on Machine Learning
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• Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients
• Grasp Synthesis for Novel Objects Using Heuristic-based and Data-driven Active Vision Methods
• Few-Shot Bayesian Imitation Learning with Logical Program Policies
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• Discovering linguistic (ir)regularities in word embeddings through max-margin separating hyperplanes
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• Particle Filtering Convergence Results for Radiation Source Detection
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• Identifier Namespaces in Mathematical Notation
• Detecting Load Redistribution Attacks via Support Vector Models
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• Catch Me If You Can: Using Power Analysis to Identify HPC Activity
• Sparse data to structured imageset transformation
• Learning the Correction for Multi-Path Deviations in Time-of-Flight Cameras
• Agglomerative Neural Networks for Multi-view Clustering
• METCC: METric learning for Confounder Control Making distance matter in high dimensional biological analysis
• clusterNOR: A NUMA-Optimized Clustering Framework
• HYPERION: Hyperspectral Penetrating-type Ellipsoidal Reconstruction for Terahertz Blind Source Separation
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• Generative network complex for the automated generation of druglike molecules
• Addressing type Ia supernova color variability with a linear spectral template
• Binary Stochastic Filtering: a Method for Neural Network Size Minimization and Supervised Feature Selection
• Surrogate sea ice model enables efficient tuning
• Hardware Fingerprinting for the ARINC 429 Avionic Bus
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• Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem
• PARIS: Predicting Application Resilience Using Machine Learning
• Learning the Dynamics of Sparsely Observed Interacting Systems
• Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS
• Neural-to-Tree Policy Distillation with Policy Improvement Criterion
• bigMap: Big Data Mapping with Parallelized t-SNE
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• Random Subspace Mixture Models for Interpretable Anomaly Detection
• Scalable Package Queries in Relational Database Systems
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• Compressed representation of brain genetic transcription
• a Decision-Tree based Moment-of-Fluid (DTMOF) Method in 3D rectangular hexahedrons
• Temporal mixture ensemble models for intraday volume forecasting in cryptocurrency exchange markets
• MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation
• CupNet -- Pruning a network for geometric data
• HTTP2vec: Embedding of HTTP Requests for Detection of Anomalous Traffic
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• Comparison of Discrete Choice Models and Artificial Neural Networks in Presence of Missing Variables
• Learning Representations for Axis-Aligned Decision Forests through Input Perturbation
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• Sharpen Focus: Learning with Attention Separability and Consistency
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• Joints in Random Forests
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• EigenEmo: Spectral Utterance Representation Using Dynamic Mode Decomposition for Speech Emotion Classification
• A Classification Model Utilizing Facial Landmark Tracking to Determine Sentence Types for American Sign Language Recognition
• Disease Progression Modeling Workbench 360
• Protein (Multi-)Location Prediction: Using Location Inter-Dependencies in a Probabilistic Framework
• Neural Neighborhood Encoding for Classification
• Early Identification of Services in HTTPS Traffic
• On anisotropic diffusion equations for label propagation
• Simulation-Driven COVID-19 Epidemiological Modeling with Social Media
• Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks
• Comparing various regression methods on ensemble strategies in differential evolution
• iCVI-ARTMAP: Accelerating and improving clustering using adaptive resonance theory predictive mapping and incremental cluster validity indices
• On Design of Problem Token Questions in Quality of Experience Surveys
• Multi-Class Classification from Single-Class Data with Confidences
• P6: A Declarative Language for Integrating Machine Learning in Visual Analytics
• Ballroom Dance Movement Recognition Using a Smart Watch
• Proposing a two-step Decision Support System (TPIS) based on Stacked ensemble classifier for early and low cost (step-1) and final (step-2) differential diagnosis of Mycobacterium Tuberculosis from non-tuberculosis Pneumonia
• Towards the Development of Entropy-Based Anomaly Detection in an Astrophysics Simulation
• Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data
• Nonparametric Density Estimation from Markov Chains
• Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem
• Out-Of-Bag Anomaly Detection
• DiPPS: Differentially Private Propensity Scores for Bias Correction
• Operationalizing Complex Causes: A Pragmatic View of Mediation
• A concise method for feature selection via normalized frequencies
• Topological data analysis and clustering
• GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification
• Automatically Assessing Vulnerabilities Discovered by Compositional Analysis
• Pointwise visual field estimation from optical coherence tomography in glaucoma: a structure-function analysis using deep learning
• AIPerf: Automated machine learning as an AI-HPC benchmark
• Upscaling the porosity-permeability relationship of a microporous carbonate to the Darcy scale with machine learning
• Sparsistent Model Discovery
• On the Effects of Knowledge-Augmented Data in Word Embeddings
• TextAttack: Lessons learned in designing Python frameworks for NLP
• Developing Robust Digital Twins and Reinforcement Learning for Accelerator Control Systems at the Fermilab Booster
• Causal thinking for decision making on Electronic Health Records: why and how
• Contextual Memory Trees
• Understanding Uncertainty in Bayesian Deep Learning
• On Explaining Random Forests with SAT
• Trinary Tools for Continuously Valued Binary Classifiers
• Classifying Cyber-Risky Clinical Notes by Employing Natural Language Processing
• A Review of Network Inference Techniques for Neural Activation Time Series
• A Temporal Logic-Based Hierarchical Network Connectivity Controller
• Hierarchical Clustering: $O(1)$-Approximation for Well-Clustered Graphs
• Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment
• How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level
• Data-Centric AI Requires Rethinking Data Notion
• Fairness Sample Complexity and the Case for Human Intervention
• Spectral Algorithm for Low-rank Multitask Regression
• UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation
• Adaptive MCMC via Combining Local Samplers
• Nowcasting the turbulence at the Paranal Observatory
• FSVPy: A Python-based Package for Fluorescent Streak Velocimetry (FSV)
• Generative network complex (GNC) for drug discovery
• Proceedings Second International Workshop on Formal Integrated Development Environment
• Provenance Graph Kernel
• A Streaming Analytics Language for Processing Cyber Data
• Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension
• RAD: On-line Anomaly Detection for Highly Unreliable Data
• Unsupervised extraction of local and global keywords from a single text
• Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning
• Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and Oversampling
• Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques
• Towards Quantification of Bias in Machine Learning for Healthcare: A Case Study of Renal Failure Prediction
• Automatic Annotation of Direct Speech in Written French Narratives
• Optimizing for Generalization in Machine Learning with Cross-Validation Gradients
• Multi-label Categorization of Accounts of Sexism using a Neural Framework
• Analyzing HPC Support Tickets: Experience and Recommendations
• Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning Test
• A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers
• Hunting for Troll Comments in News Community Forums
• Context-Aware Drive-thru Recommendation Service at Fast Food Restaurants
• From `Snippet-lects' to Doculects and Dialects: Leveraging Neural Representations of Speech for Placing Audio Signals in a Language Landscape
• Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift
• An Approach to Evaluating Learning Algorithms for Decision Trees
• Predictive Precompute with Recurrent Neural Networks
• The Roles of Supervised Machine Learning in Systems Neuroscience
• Adaptive Conformal Prediction by Reweighting Nonconformity Score
• Infinite-Task Learning with RKHSs
• Can You Explain That, Better? Comprehensible Text Analytics for SE Applications
• Improved Surrogate Modeling using Machine Learning for Industrial Civil Aircraft Aerodynamics
• Explainable classification of astronomical uncertain time series
• Random projection tree similarity metric for SpectralNet
• Long-term Compliance Habits: What Early Data Tells Us
• Cryo-RALib -- a modular library for accelerating alignment in cryo-EM
• Naive imputation implicitly regularizes high-dimensional linear models
• SIBILA: A novel interpretable ensemble of general-purpose machine learning models applied to medical contexts
• The DeMaDs Open Source Modeling Framework for Power System Malfunction Detection
• Diffeomorphic Transformations for Time Series Analysis: An Efficient Approach to Nonlinear Warping
• A Decision Tree Approach to Predicting Recidivism in Domestic Violence
• Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast
• LIBTwinSVM: A Library for Twin Support Vector Machines
• Coresets for Kernel Clustering
• Rating Prediction in Conversational Task Assistants with Behavioral and Conversational-Flow Features
• Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection
• Low-cost Autonomous Navigation System Based on Optical Flow Classification
• Binary Classification from Positive Data with Skewed Confidence
• Uncovering life-course patterns with causal discovery and survival analysis
• Robust binary classification with the 01 loss
• Outlier Guided Optimization of Abdominal Segmentation
• apsis - Framework for Automated Optimization of Machine Learning Hyper Parameters
• The Optimal Use of Silicon Pixel Charge Information for Particle Identification
• Methodological proposal to identify the nationality of Twitter users through Random-Forests
• Interpretable inverse design of particle spectral emissivity using machine learning
• ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP
• Dynamic nowcast of the New Zealand greenhouse gas inventory
• General Characterization of Agents by States they Visit
• Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach
• Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques
• MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences
• Analysing the Needs of Homeless People Using Feature Selection and Mining Association Rules
• Off-axis Hartmann wavefront sensing for the GMT-Consortium Large Earth Finder (G-CLEF) red camera optics
• Leveraging Local Variation in Data: Sampling and Weighting Schemes for Supervised Deep Learning
• Online Binary Space Partitioning Forests
• Cloth Manipulation Using Random-Forest-Based Imitation Learning
• An Incremental Clustering Baseline for Event Detection on Twitter
• Constraining Galaxy-Halo Connection Using Machine Learning
• Classification with Reject Option: Distribution-free Error Guarantees via Conformal Prediction
• Automated Segmentation of CT Scans for Normal Pressure Hydrocephalus
• A Diagnostic Kit for Optical Emission Lines Shaped by Accretion Disc Winds
• Low-Shot Learning from Imaginary 3D Model
• Guided Exploration of Human Intentions for Human-Robot Interaction
• Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders
• Learning to Project in Multi-Objective Binary Linear Programming
• Mixed Variable Bayesian Optimization with Frequency Modulated Kernels
• Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding
• Antigenic waves of virus-immune co-evolution
• Time series forecasting from partial observations via Non-negative Matrix Factorization
• Lower Bounds on Information Requirements for Causal Network Inference
• Demystifying the Role of Rule-based Detection in AI Systems for Windows Malware Detection
• CoSeNet: A Novel Approach for Optimal Segmentation of Correlation Matrices
• Fine-grained Search Space Classification for Hard Enumeration Variants of Subset Problems
• Strain in Sound: Soft Corrugated Tube for Local Strain Sensing with Acoustic Resonance
• Data-driven Approach for Quality Evaluation on Knowledge Sharing Platform
• Prediction of Atomization Energies of Au13+ Clusters through the Machine Learning Approach
• Mid-infrared Variability-based AGN Selection using the Multi-epoch Photometric Data from WISE
• Automating Quality Assessment with NLP of LLM-Generated Defeaters
• Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling
• Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation
• D3p -- A Python Package for Differentially-Private Probabilistic Programming
• Face morphometric profiles of groups as early markers for certain diseases?
• Self-Paced Probabilistic Principal Component Analysis for Data with Outliers
• A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data
• Automatic detection of impact craters on Al foils from the Stardust interstellar dust collector using convolutional neural networks
• Jump Interval-Learning for Individualized Decision Making
• The LICORS Cabinet: Nonparametric Algorithms for Spatio-temporal Prediction
• Machine Learning Based Routing Congestion Prediction in FPGA High-Level Synthesis
• Deblending the MIGHTEE-COSMOS survey with XID+: The resolved radio source counts to $S_{1.4}\approx 5\mu$Jy
• Securing Smart Homes via Software-Defined Networking and Low-Cost Traffic Classification
• A Novel Chaos Theory Inspired Neuronal Architecture
• Rise of the forsaken relics: connecting present-day stellar streams and phase-mixed galaxies to the Epoch of Reionization
• Dirichlet Simplex Nest and Geometric Inference
• An iterative scheme for feature based positioning using a weighted dissimilarity measure
• Optimizing Lead Time in Fall Detection for a Planar Bipedal Robot
• A Practical Framework for Estimating the Repetition Likelihood of Fast Radio Bursts from Spectral Morphology
• Extracting Interpretable Concept-Based Decision Trees from CNNs
• Wrist02 -- Reliable Peripheral Oxygen Saturation Readings from Wrist-Worn Pulse Oximeters
• Deep Learning-Based Prediction of High Explosive Induced Fluid Dynamics
• PLANE: An Extensible Open Source Framework for modeling the Internet of Drones
• Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction
• Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
• Machine Learning Framework for Characterizing Processing-Structure Relationship in Block Copolymer Thin Films
• Interpretable feature subset selection: A Shapley value based approach
• Cellular State Transformations using Generative Adversarial Networks
• Associative Embedding for Game-Agnostic Team Discrimination
• LHCb trigger streams optimization
• High-Throughput Machine Learning from Electronic Health Records
• Hamiltonian formulations of centroid-based clustering
• Asymmetric compressive learning guarantees with applications to quantized sketches
• Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders
• Machine Learning Kernel Method from a Quantum Generative Model
• Deep Neural Network as an alternative to Boosted Decision Trees for PID
• Reconstructing Subject-Specific Effect Maps
• Flattening Multiparameter Hierarchical Clustering Functors
• A Simple and Fast Baseline for Tuning Large XGBoost Models
• Border-Peeling Clustering
• Structured Convolutional Kernel Networks for Airline Crew Scheduling
• Deconditional Downscaling with Gaussian Processes
• Toward Faultless Content-Based Playlists Generation for Instrumentals
• Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling
• JaTeCS an open-source JAva TExt Categorization System
• Properties of the After Kernel
• Rule-Mining based classification: a benchmark study
• Generating Global and Local Explanations for Tree-Ensemble Learning Methods by Answer Set Programming
• Towards Inference Delivery Networks: Distributing Machine Learning with Optimality Guarantees
• PunFields at SemEval-2017 Task 7: Employing Roget's Thesaurus in Automatic Pun Recognition and Interpretation
• Model discovery in the sparse sampling regime
• Discrete state model of a self-aggregating colloidal system with directional interactions
• High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent
• Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs
• Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss
• Correlating Visual Characteristics and Cryogenic Performance of Superconducting Detectors
• Quantified Sleep: Machine learning techniques for observational n-of-1 studies
• Using machine learning for quantum annealing accuracy prediction
• Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization
• e-Commerce product classification: our participation at cDiscount 2015 challenge
• A Fast Approximation Scheme for Low-Dimensional $k$-Means
• Untangling urban data signatures: unsupervised machine learning methods for the detection of urban archetypes at the pedestrian scale
• Independent mechanism analysis, a new concept?
• A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations
• On-the-fly Segmentation Approaches for X-ray Diffraction Datasets for Metallic Glasses
• Fair Clustering Under a Bounded Cost
• Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning
• SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums
• Bottleneck Profiles and Discrete Prokhorov Metrics for Persistence Diagrams
• ALL-IN-1: Short Text Classification with One Model for All Languages
• Comparing Acoustic-based Approaches for Alzheimer's Disease Detection
• A machine learning procedure to detect network attacks
• Support vector machines for learning reactive islands
• Dynamic detection of mobile malware using smartphone data and machine learning
• Inferences about the distribution, merger rate, and evolutionary processes of compact binaries from gravitational wave observations
• Sparse Communication via Mixed Distributions
• Impact of COVID-19 on City-Scale Transportation and Safety: An Early Experience from Detroit
• Fair for All: Best-effort Fairness Guarantees for Classification
• Identifying Mood Episodes Using Dialogue Features from Clinical Interviews
• Fast-reactive probabilistic motion planning for high-dimensional robots
• Processing slightly resolved ro-vibrational spectra during chemical vapor deposition of carbon materials: machine learning approach for plasma thermometry
• A Novel index-based multidimensional data organization model that enhances the predictability of the machine learning algorithms
• q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding
• Learning Interpretable Concept-Based Models with Human Feedback
• Biclustering and Boolean Matrix Factorization in Data Streams
• Design of an Optoelectronically Innervated Gripper for Rigid-Soft Interactive Grasping
• Estimating the mass of galactic components using machine learning algorithms
• Semi-supervised Wrapper Feature Selection by Modeling Imperfect Labels
• Tracking and Visualizing Signs of Degradation for an Early Failure Prediction of a Rolling Bearing
• Understanding Static Code Warnings: an Incremental AI Approach
• Automatic detection of estuarine dolphin whistles in spectrogram images
• Graph-Sparse Logistic Regression
• A Silent Build-up in Seismic Energy Precedes Slow Slip Failure in the Cascadia Subduction Zone
• MEME: Generating RNN Model Explanations via Model Extraction
• A partition-based similarity for classification distributions
• Ridge Regression with Frequent Directions: Statistical and Optimization Perspectives
• Quantifying Intimacy in Language
• Estimating uncertainty of earthquake rupture using Bayesian neural network
• salmon: A Symbolic Linear Regression Package for Python
• A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings
• PARQR: Augmenting the Piazza Online Forum to Better Support Degree Seeking Online Masters Students
• Making ML models fairer through explanations: the case of LimeOut
• A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement
• There is no Double-Descent in Random Forests
• Increasing Data Diversity with Iterative Sampling to Improve Performance
• My House, My Rules: Learning Tidying Preferences with Graph Neural Networks
• From Strings to Data Science: a Practical Framework for Automated String Handling
• Learning Sparsity and Block Diagonal Structure in Multi-View Mixture Models
• On the Downstream Performance of Compressed Word Embeddings
• Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific
• Effects of lead position, cardiac rhythm variation and drug-induced QT prolongation on performance of machine learning methods for ECG processing
• Human-grounded Evaluations of Explanation Methods for Text Classification
• Tree in Tree: from Decision Trees to Decision Graphs
• Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing
• Comparing methods addressing multi-collinearity when developing prediction models
• Symmetry-adapted graph neural networks for constructing molecular dynamics force fields
• LonelyText: A Short Messaging Based Classification of Loneliness
• Does a Hybrid Neural Network based Feature Selection Model Improve Text Classification?
• Off-policy Learning for Multiple Loggers
• Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification
• Learning-based Optoelectronically Innervated Tactile Finger for Rigid-Soft Interactive Grasping
• Soccer Team Vectors
• Asymptotic Normality for Multivariate Random Forest Estimators
• Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE
• Optimal Estimation of Generalized Average Treatment Effects using Kernel Optimal Matching
• Learning Joint Acoustic-Phonetic Word Embeddings
• Learning Distributional Programs for Relational Autocompletion
• Machine Learning for Protein Function
• Leveraging Knowledge Bases And Parallel Annotations For Music Genre Translation
• That looks interesting! Personalizing Communication and Segmentation with Random Forest Node Embeddings
• Mod-DeepESN: Modular Deep Echo State Network
• A Multisensory Learning Architecture for Rotation-invariant Object Recognition
• The Shooting Regressor; Randomized Gradient-Based Ensembles
• Bayesian Optimisation with Formal Guarantees
• An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)
• Probably Approximately Correct Explanations of Machine Learning Models via Syntax-Guided Synthesis
• Identifying Populist Paragraphs in Text: A machine-learning approach
• Binomial Tails for Community Analysis
• Hopfield Network based Control and Diagnostics System for Accelerators
• Random Forest regression for manifold-valued responses
• On the Generalization of the C-Bound to Structured Output Ensemble Methods
• A High Accuracy Image Hashing and Random Forest Classifier for Crack Detection in Concrete Surface Images
• Closed loop BCI System for Cybathlon 2020
• Faster Rates for the Frank-Wolfe Algorithm Using Jacobi Polynomials
• Understanding top-down attention using task-oriented ablation design
• Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes
• Reduced Order Modeling using Shallow ReLU Networks with Grassmann Layers
• Articulatory Coordination for Speech Motor Tracking in Huntington Disease
• FX Market Volatility
• Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches
• Gravitational Clustering
• Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing
• Characterization of Frequent Online Shoppers using Statistical Learning with Sparsity
• Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering
• Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection
• Improving on Q & A Recurrent Neural Networks Using Noun-Tagging
• Knowing More About Questions Can Help: Improving Calibration in Question Answering
• A Taylor Based Sampling Scheme for Machine Learning in Computational Physics
• Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth
• Visual Exploration and Knowledge Discovery from Biomedical Dark Data
• Programming Puzzles
• Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization
• Reservoir Stack Machines
• Analysis and classification of main risk factors causing stroke in Shanxi Province
• Clusters in Explanation Space: Inferring disease subtypes from model explanations
• Deconfounding age effects with fair representation learning when assessing dementia
• Machine learning for classification and quantification of monoclonal antibody preparations for cancer therapy
• A Method for Tumor Treating Fields Fast Estimation
• Visualizing Representations of Adversarially Perturbed Inputs
• 2nd-order Updates with 1st-order Complexity
• Beyond image classification: zooplankton identification with deep vector space embeddings
• Can we learn where people come from? Retracing of origins in merging situations
• Evaluating the distribution learning capabilities of GANs
• An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum Physics
• Unsupervised Recalibration
• IIITM Face: A Database for Facial Attribute Detection in Constrained and Simulated Unconstrained Environments
• $\text{RidgeSketch}$: A Fast sketching based solver for large scale ridge regression
• A machine learning method correlating pulse pressure wave data with pregnancy
• Graph Space Embedding
• In Search for Linear Relations in Sentence Embedding Spaces
• An Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction
• A Dynamical Evolution Study of the Open Clusters: Berkeley 10, Berkeley 81, Berkeley 89 and Ruprecht 135
• Modeling of negative protein-protein interactions: methods and experiments
• How to Explain Neural Networks: an Approximation Perspective
• Utterance Clustering Using Stereo Audio Channels
• A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines
• Anomaly-Based Intrusion Detection System for Cyber-Physical System Security
• ESCAPE - Echo SCraper and ClAssifier of PErsons: A novel tool to facilitate using voice-controlled devices for research
• Clustering Vietnamese Conversations From Facebook Page To Build Training Dataset For Chatbot
• Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach
• Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research
• EmotionGIF-IITP-AINLPML: Ensemble-based Automated Deep Neural System for predicting category(ies) of a GIF response
• Convolutional Neural Networks for User Identificationbased on Motion Sensors Represented as Image
• A deep learning approach for predicting the quality of online health expert question-answering services
• A Study on the Manifestation of Trust in Speech
• MDFM: Multi-Decision Fusing Model for Few-Shot Learning
• PolyFrame: A Retargetable Query-based Approach to Scaling DataFrames (Extended Version)
• Linear Dynamics: Clustering without identification
• A Note on Our Submission to Track 4 of iDASH 2019
• Multi-task learning of daily work and study round-trips from survey data
• Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts under Precision and Recall Constraints
• Recurrent Instability in LMXB Accretion Disks: How Strange is GRS 1915+105?
• Regularized ERM on random subspaces
• Robust Analytics for Video-Based Gait Biometrics
• Classification of Radio Backgrounds at Cosmic Dawn and 21 cm Signal Confirmation Using Neural Networks
• An Adaptive Framework for Reliable Trajectory Following in Changing-Contact Robot Manipulation Tasks
• Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports
• Automatic Identification of Non-Meaningful Body-Movements and What It Reveals About Humans
• Will there be a construction? Predicting road constructions based on heterogeneous spatiotemporal data
• A Comparison of Neural Network Training Methods for Text Classification
• Fast Rank-1 NMF for Missing Data with KL Divergence
• Greedy Bayesian Posterior Approximation with Deep Ensembles
• Learning Only from Relevant Keywords and Unlabeled Documents
• A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning
• Invertible Manifold Learning for Dimension Reduction
• Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach
• MyMigrationBot: A Cloud-based Facebook Social Chatbot for Migrant Populations
• Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs
• Quantum Algorithms for Unsupervised Machine Learning and Neural Networks
• Dreaddit: A Reddit Dataset for Stress Analysis in Social Media
• DataSist: A Python-based library for easy data analysis, visualization and modeling
• Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns
• Applications of Gaussian Process Latent Variable Models in Finance
• Image classification and retrieval with random depthwise signed convolutional neural networks
• Hellinger Distance Weighted Ensemble for Imbalanced Data Stream Classification
• Using Paragraph Vectors to improve our existing code review assisting tool-CRUSO
• MRI-based Surgical Planning for Lumbar Spinal Stenosis
• Variable Grouping Based Bayesian Additive Regression Tree
• Ensembling Strategies for Answering Natural Questions
• Scaling up Memory-Efficient Formal Verification Tools for Tree Ensembles
• On the inconsistency of ${\ell }_1$-penalised sparse precision matrix estimation
• A Framework for Learning Assessment through Multimodal Analysis of Reading Behaviour and Language Comprehension
• Gradient-enhanced kriging for high-dimensional problems
• Chronological Self-Training for Real-Time Speaker Diarization
• Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content
• Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models
• SAVEHR: Self Attention Vector Representations for EHR based Personalized Chronic Disease Onset Prediction and Interpretability
• Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization
• Learning from Noisy Label Distributions
• Less is more: Faster and better music version identification with embedding distillation
• Model Exploration with Cost-Aware Learning
• Predictive Machine Learning of Objective Boundaries for Solving COPs
• Classification as Decoder: Trading Flexibility for Control in Medical Dialogue
• Simplifying Impact Prediction for Scientific Articles
• Interstitial Content Detection
• Deployment of the readout electronics for the BESIII Cylindrical GEM Inner Tracker
• Data-informed Emulators for Multi-Physics Simulations
• Ethnicity sensitive author disambiguation using semi-supervised learning
• AQP: An Open Modular Python Platform for Objective Speech and Audio Quality Metrics
• An efficient projection neural network for ${\ell }_1$-regularized logistic regression
• Information-theoretic Evolution of Model Agnostic Global Explanations
• A reproducibility study of "Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space"
• Automatically detecting anomalous exoplanet transits
• Towards Distortion-Predictable Embedding of Neural Networks
• Machine learning pipeline for battery state of health estimation
• ALBU: An approximate Loopy Belief message passing algorithm for LDA to improve performance on small data sets
• Tweeting Over The Border: An Empirical Study of Transnational Migration in San Diego and Tijuana
• LevelHeaded: Making Worst-Case Optimal Joins Work in the Common Case
• Fixed-Length Protein Embeddings using Contextual Lenses
• Effective Distributed Representations for Academic Expert Search
• Optimizing Planning Service Territories by Dividing Into Compact Several Sub-areas Using Binary K-means Clustering According Vehicle Constraints
• Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning
• Random Forest as a Tumour Genetic Marker Extractor
• Deep Classifiers with Label Noise Modeling and Distance Awareness
• Molecular origin of blood-based infrared fingerprints
• Automating Internet of Things Network Traffic Collection with Robotic Arm Interactions
• MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
• PIQUE: Progressive Integrated QUery Operator with Pay-As-You-Go Enrichment
• Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models
• Adaptive Bayesian Reticulum
• Parallel Long Short-Term Memory for Multi-stream Classification
• Clustering as a means of leader selection in consensus networks
• Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data
• Determining Positive Cancer Rescue Mutations in p53 Based Cancers by using Artificial Intelligence
• Effective and Extensible Feature Extraction Method Using Genetic Algorithm-Based Frequency-Domain Feature Search for Epileptic EEG Multi-classification
• Learning-based approach to plasticity in athermal sheared amorphous packings: Improving softness
• Asynchronous Distributed Learning with Quantized Finite-Time Coordination
• Conical Classification For Computationally Efficient One-Class Topic Determination
• Using Laplacian Spectrum as Graph Feature Representation
• Semisupervised Learning on Heterogeneous Graphs and its Applications to Facebook News Feed
• A Hidden Variables Approach to Multilabel Logistic Regression
• Interpretable Locally Adaptive Nearest Neighbors
• Exploring Business Process Deviance with Sequential and Declarative Patterns
• L'explicabilité au service de l'extraction de connaissances : application à des données médicales
• Classifying Diagrams and Their Parts using Graph Neural Networks: A Comparison of Crowd-Sourced and Expert Annotations
• Explaining Deep Tractable Probabilistic Models: The sum-product network case
• Measurement of $CP$ violation in $B^0\to J/\psi K_{\mathrm{S}}^0$ and $B^0\to \psi (2S)K_{\mathrm{S}}^0$ decays
• SFTrack++: A Fast Learnable Spectral Segmentation Approach for Space-Time Consistent Tracking
• Determining Individual Origin Similarity (DInOS): Binary Classification of Authors Using Stylometric Features
• Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data
• srlearn: A Python Library for Gradient-Boosted Statistical Relational Models
• GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models
• The Relevance of Text and Speech Features in Automatic Non-native English Accent Identification
• Feature-wise change detection and robust indoor positioning using RANSAC-like approach
• Prediction of 'artificial' urban archetypes at the pedestrian-scale through a synthesis of domain expertise with machine learning methods
• Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification
• (Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas
• On Periodic Reference Tracking Using Batch-Mode Reinforcement Learning with Application to Gene Regulatory Network Control
• On Inductive Biases for Machine Learning in Data Constrained Settings
• knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library
• GenMod: A generative modeling approach for spectral representation of PDEs with random inputs
• mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R
• The Crossover Process: Learnability and Data Protection from Inference Attacks
• Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles
• OpenRadar: A Toolkit for Prototyping mmWave Radar Applications
• Machine Learning the Effective Hamiltonian in High Entropy Alloys
• Fast Solutions in Power System Simulation through Coupling with Data-Driven Power Flow Models for Voltage Estimation
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• Going Beyond T-SNE: Exposing \texttt{whatlies} in Text Embeddings
• Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences
• A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification
• Arithmetic Word Problem Solver using Frame Identification
• Using holistic event information in the trigger
• Modelling hidden structure of signals in group data analysis with modified (Lr, 1) and block-term decompositions
• Non-penalized variable selection in high-dimensional linear model settings via generalized fiducial inference
• Conformal Bayesian Computation
• Constructionist Steps Towards an Autonomously Empathetic System
• Privacy-Preserving and Efficient Data Collection Scheme for AMI Networks Using Deep Learning
• Equivalent Circuit Model Recognition of Electrochemical Impedance Spectroscopy via Machine Learning
• Time Series Anomaly Detection with label-free Model Selection
• Evolutionary Optimization of High-Coverage Budgeted Classifiers
• Aligning Subjective Ratings in Clinical Decision Making
• Machine Learning based Soil VWC and Field Capacity Estimation Using Low Cost Sensors