XGBoost: A Scalable Tree Boosting System

Abstract

Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-of-the-art results on many machine learning challenges. We propose a novel sparsity-aware algorithm for sparse data and weighted quantile sketch for approximate tree learning. More importantly, we provide insights on cache access patterns, data compression and sharding to build a scalable tree boosting system. By combining these insights, XGBoost scales beyond billions of examples using far fewer resources than existing systems.

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• Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale
• VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization
• ToPs: Ensemble Learning with Trees of Predictors
• Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
• Hunting for C-rich long-period variable stars in the Milky Way's bar-bulge using unsupervised classification of Gaia BP/RP spectra
• Voting with Random Classifiers (VORACE): Theoretical and Experimental Analysis
• Enriching the physics program of the CMS experiment via data scouting and data parking
• Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning
• Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates
• Prospects for searches of $b\to s\nu \bar{\nu }$ decays at FCC-ee
• Search for flavor-changing neutral current interactions of the top quark and Higgs boson in final states with two photons in proton-proton collisions at $\sqrt{s}=$ 13 TeV
• Calculating LRs for presence of body fluids from mRNA assay data in mixtures
• Feature Selection with Annealing for Forecasting Financial Time Series
• Machine Learning methods to estimate observational properties of galaxy clusters in large volume cosmological N-body simulations
• Variable star classification across the Galactic bulge and disc with the VISTA Variables in the Vía Láctea survey
• ChemBoost: A chemical language based approach for protein-ligand binding affinity prediction
• Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing
• Spectroscopy of QUBRICS quasar candidates: 1672 new redshifts and a Golden Sample for the Sandage Test of the Redshift Drift
• Predicting Swarm Equatorial Plasma Bubbles via Machine Learning and Shapley Values
• Efficient Neural Query Auto Completion
• MetroGAN: Simulating Urban Morphology with Generative Adversarial Network
• Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning -- A Residual Physics Approach
• Refining ADHD diagnosis with EEG: The impact of preprocessing and temporal segmentation on classification accuracy
• Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations
• Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction
• Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble
• Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks
• Charm production and fragmentation fractions at midrapidity in pp collisions at $\sqrt{s}=13$ TeV
• ROSpace: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System
• NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing
• Hierarchical forecasting with a top-down alignment of independent level forecasts
• Multimodal Metadata Assignment for Cultural Heritage Artifacts
• Reproducibility in Computational Materials Science: Lessons from 'A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials'
• Beyond network centrality: Individual-level behavioral traits for predicting information superspreaders in social media
• Classical and quantum regression analysis for the optoelectronic performance of NTCDA/p-Si UV photodiode
• Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph
• Misogynistic Tweet Detection: Modelling CNN with Small Datasets
• A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data
• An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic
• EB-NeRD: A Large-Scale Dataset for News Recommendation
• Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
• Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting
• Search for Higgs boson pairs decaying to WW*WW*, WW*$\tau \tau$, and $\tau \tau \tau \tau$ in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• SkyMapper Optical Follow-up of Gravitational Wave Triggers: Alert Science Data Pipeline and LIGO/Virgo O3 Run
• Pulsars Detection by Machine Learning with Very Few Features
• Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data
• Euclid preparation: XXII. Selection of Quiescent Galaxies from Mock Photometry using Machine Learning
• Learning Interpretable Rules for Scalable Data Representation and Classification
• Travel Time Prediction using Tree-Based Ensembles
• Multi-modal Heart Failure Risk Estimation based on Short ECG and Sampled Long-Term HRV
• On the Risks of Collecting Multidimensional Data Under Local Differential Privacy
• Search for binary black hole mergers in the third observing run of Advanced LIGO-Virgo using coherent WaveBurst enhanced with machine learning
• On the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI
• Solar Flares Forecasting Using Time Series and Extreme Gradient Boosting Ensembles
• Applications of machine learning in gravitational wave research with current interferometric detectors
• Quantum adiabatic machine learning with zooming
• Identifying supportive student factors for mindset interventions: A two-model machine learning approach
• Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration
• Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation
• Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data
• Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency Information
• TreeLUT: An Efficient Alternative to Deep Neural Networks for Inference Acceleration Using Gradient Boosted Decision Trees
• ActiveRemediation: The Search for Lead Pipes in Flint, Michigan
• Finding Black Holes with Black Boxes -- Using Machine Learning to Identify Globular Clusters with Black Hole Subsystems
• Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment
• FlowSense: Monitoring Airflow in Building Ventilation Systems Using Audio Sensing
• Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints
• Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations
• Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics
• Forecasting CPI inflation under economic policy and geopolitical uncertainties
• Investigating Cosmological GAN Emulators Using Latent Space Interpolation
• Can a composite heart rate variability biomarker shed new insights about autism spectrum disorder in school-aged children?
• ChatGPT Code Detection: Techniques for Uncovering the Source of Code
• Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence
• Low Energy Event Reconstruction in IceCube DeepCore
• Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression
• Machine Learning-Based COVID-19 Patients Triage Algorithm using Patient-Generated Health Data from Nationwide Multicenter Database
• Formal Verification of Decision-Tree Ensemble Model and Detection of its Violating-input-value Ranges
• Comparing Machine Learning and Interpolation Methods for Loop-Level Calculations
• Tabular Machine Learning Methods for Predicting Gas Turbine Emissions
• Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection
• NicePIM: Design Space Exploration for Processing-In-Memory DNN Accelerators with 3D-Stacked-DRAM
• A Multi-task Learning Framework for Product Ranking with BERT
• Kubernetes Autoscaling: YoYo Attack Vulnerability and Mitigation
• LHC signals of a heavy doublet Higgs as dark matter portal: cut-based approach and improvement with gradient boosting and neural networks
• Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis
• Search for $CP$ violation in ${\Xi }_b^{-}\to p{K}^{-}{K}^{-}$ decays
• Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG
• Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science
• Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websites
• Translocatome: a novel resource for the analysis of protein translocation between cellular organelles
• Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach
• Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features
• What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings
• Diffusion Models for Tabular Data Imputation and Synthetic Data Generation
• Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting
• Modeling the sea-surface $p$CO${}_2$ of the central Bay of Bengal region using machine learning algorithms
• Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and Behavioral Malware Representations
• A Data-Fusion-Assisted Telemetry Layer for Autonomous Optical Networks
• A General Machine Learning Framework for Survival Analysis
• Exploring deterministic frequency deviations with explainable AI
• A Composite Likelihood Approach for Inference under Photometric Redshift Uncertainty
• Improved infrared photometry and a preliminary parallax measurement for the extremely cold brown dwarf CWISEP J144606.62$-$231717.8
• Every Colour You Are: Stance Prediction and Turnaround in Controversial Issues
• Analytic Continued Fractions for Regression: A Memetic Algorithm Approach
• Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection
• KLLR: A scale-dependent, multivariate model class for regression analysis
• Classifying Stars, Galaxies and AGN in CLAUDS+HSC-SSP Using Gradient Boosted Decision Trees
• Adaptive surrogate modeling for high-dimensional spatio-temporal output
• Inorganic synthesis-structure maps in zeolites with machine learning and crystallographic distances
• Hollow-tree Super: a directional and scalable approach for feature importance in boosted tree models
• Machine learning applied to simulations of collisions between rotating, differentiated planets
• Machine learning for predicting thermal power consumption of the Mars Express Spacecraft
• GAM Coach: Towards Interactive and User-centered Algorithmic Recourse
• ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational Humor
• TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks
• On the generalizability of machine-learning-assisted anisotropy mappings for predictive turbulence modelling
• A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy
• End-to-End Intelligent Framework for Rockfall Detection
• A Naive Bayes Classifier for identifying Class II YSOs
• Predicting User Emotional Tone in Mental Disorder Online Communities
• Quasar and galaxy classification using Gaia EDR3 and CatWise2020
• Whodunit: Classifying Code as Human Authored or GPT-4 Generated -- A case study on CodeChef problems
• A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack
• RecSys Challenge 2016: job recommendations based on preselection of offers and gradient boosting
• Inductive Graph Transformer for Delivery Time Estimation
• Entity Personalized Talent Search Models with Tree Interaction Features
• HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records
• Stability Constrained Characterization of Multiplanet Systems
• Fast Linear Model Trees by PILOT
• Computational Reverse Engineering Analysis of Scattering Experiments Method for Interpretation of 2D Small-Angle Scattering Profiles (CREASE-2D)
• ESG Rating Disagreement and Corporate Total Factor Productivity:Inference and Prediction
• Prospects for $B_c^{+}$ and $B^{+}\to {\tau }^{+}{\nu }_{\tau }$ at FCC-ee
• Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit
• Search for the lepton flavor violating decay $\tau$ $\to$ 3$\mu$ in proton-proton collisions at $\sqrt{s}=$ 13 TeV
• Parametrization of Non-Bonded Force Field Terms for Metal-Organic Frameworks Using Machine Learning Approach
• MARIA: a Multimodal Transformer Model for Incomplete Healthcare Data
• VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees
• Quark Gluon Jet Discrimination with Weakly Supervised Learning
• A Top-down Supervised Learning Approach to Hierarchical Multi-label Classification in Networks
• Semantic variation operators for multidimensional genetic programming
• An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting
• Large-Scale Network Embedding in Apache Spark
• Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling
• A Comprehensive Survey on Imbalanced Data Learning
• Collider Signatures of Coannihilating Dark Matter in Light of the B-Physics Anomalies
• A novel fusion of Sentinel-1 and Sentinel-2 with climate data for crop phenology estimation using Machine Learning
• Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learning
• Ligand unbinding pathway and mechanism analysis assisted by machine learning and graph methods
• Listwise Learning to Rank by Exploring Unique Ratings
• Learning to Identify Semi-Visible Jets
• Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library
• FetMRQC: a robust quality control system for multi-centric fetal brain MRI
• Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets
• Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring
• Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data
• CanCal: Towards Real-time and Lightweight Ransomware Detection and Response in Industrial Environments
• Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes
• Random Forest Kernel for High-Dimension Low Sample Size Classification
• An Artificial Intelligence-based model for cell killing prediction: development, validation and explainability analysis of the ANAKIN model
• Fully Bayesian Classification with Heavy-tailed Priors for Selection in High-dimensional Features with Grouping Structure
• Predicting human decisions with behavioral theories and machine learning
• Multimodal machine learning with large language embedding model for polymer property prediction
• QoT estimation using EGN-assisted machine learning for multi-period network planning
• Towards Efficient and Scalable Acceleration of Online Decision Tree Learning on FPGA
• Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach
• Explainable Software Defect Prediction from Cross Company Project Metrics Using Machine Learning
• A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision
• Euclid: Identification of asteroid streaks in simulated images using deep learning
• A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease
• Multi-task learning for virtual flow metering
• Predicting metallicities and carbon abundances from Gaia XP spectra for (carbon-enhanced) metal-poor stars
• Automatic analysis of artistic paintings using information-based measures
• Chaos in multiplanetary extrasolar systems
• Constraints on Effective Field Theory Couplings Using 311.2 days of LUX Data
• Explainable AI for a No-Teardown Vehicle Component Cost Estimation: A Top-Down Approach
• On the Trustworthiness of Tree Ensemble Explainability Methods
• Exploring Supernova Gravitational Waves with Machine Learning
• Detection of Fake Users in SMPs Using NLP and Graph Embeddings
• A Hitchhiker's Guide to Deep Chemical Language Processing for Bioactivity Prediction
• IoT Device Identification Based on Network Traffic Characteristics
• AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques
• Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling
• Answering Comparative Questions: Better than Ten-Blue-Links?
• Classification of cancer pathology reports: a large-scale comparative study
• Charm-quark Yukawa Coupling in $h\to c\bar{c}\gamma$ at LHC
• Forecasting COVID-19 spreading trough an ensemble of classical and machine learning models: Spain's case study
• Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
• A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets
• Predicting Terrorist Attacks in the United States using Localized News Data
• Predicting Session Length in Media Streaming
• DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
• A Time Series Approach To Player Churn and Conversion in Videogames
• Detecting Financial Bots on the Ethereum Blockchain
• Measurement of the Higgs boson mass and width using the four-lepton final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• Gravitational wave surrogates through automated machine learning
• On the Relation between Prediction and Imputation Accuracy under Missing Covariates
• Prospects of non-resonant di-Higgs searches and Higgs boson self-coupling measurement at the HE-LHC using machine learning techniques
• Myers-Briggs personality classification from social media text using pre-trained language models
• Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty
• Graph-Based Machine Learning Improves Just-in-Time Defect Prediction
• First simultaneous measurement of differential muon-neutrino charged-current cross sections on argon for final states with and without protons using MicroBooNE data
• The Missing Indicator Method: From Low to High Dimensions
• SC2EGSet: StarCraft II Esport Replay and Game-state Dataset
• Feature construction using explanations of individual predictions
• Search for $CP$ violation in ttH and tH production in multilepton channels in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• Studies of new Higgs boson interactions through nonresonant $HH$ production in the $b\bar{b}\gamma \gamma$ final state in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
• Measurements of inclusive and differential cross sections for the Higgs boson production and decay to four-leptons in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• Towards a Comprehensive Solution for a Vision-based Digitized Neurological Examination
• Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running, and Sports Movements
• Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection
• Detection of LIGO-Virgo binary black holes in the pair-instability mass gap
• Fairness Implications of Encoding Protected Categorical Attributes
• Discovering and interpreting transcriptomic drivers of imaging traits using neural networks
• A method for approximating optimal statistical significances with machine-learned likelihoods
• Measuring Friendship Closeness: A Perspective of Social Identity Theory
• Reinforcement learning-based architecture search for quantum machine learning
• Intelligent Protection & Classification of Transients in Two-Core Symmetric Phase Angle Regulating Transformers
• Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials
• Time-to-Green predictions for fully-actuated signal control systems with supervised learning
• A Flexible Approach for Predictive Biomarker Discovery
• Consistent and Flexible Selectivity Estimation for High-Dimensional Data
• Can a machine learn the outcome of planetary collisions?
• On the impact of selected modern deep-learning techniques to the performance and celerity of classification models in an experimental high-energy physics use case
• Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach
• A QoT Estimation Method using EGN-assisted Machine Learning for Network Planning Applications
• MLGOPerf: An ML Guided Inliner to Optimize Performance
• Search for invisible particles produced in association with single top quarks in proton-proton collisions at $\sqrt{s}$=13 TeV with the ATLAS detector
• Hard-ODT: Hardware-Friendly Online Decision Tree Learning Algorithm and System
• LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems
• Deep or Not Deep: Supervised Learning Approaches to Modeling the Pedestal Density
• Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks
• NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity
• Scaling associative classification for very large datasets
• CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting
• The miniJPAS survey quasar selection II: Machine learning classification with photometric measurements and uncertainties
• GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection
• Health improvement framework for planning actionable treatment process using surrogate Bayesian model
• Patient Outcome Predictions Improve Operations at a Large Hospital Network
• Unveiling The Factors of Aesthetic Preferences with Explainable AI
• Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks
• Toward Sustainable Polymer Design: A Molecular Dynamics-Informed Machine Learning Approach for Vitrimers
• Stacking Neural Network Models for Automatic Short Answer Scoring
• SEnSeI: A Deep Learning Module for Creating Sensor Independent Cloud Masks
• Tending Unmarked Graves: Classification of Post-mortem Content on Social Media
• Testing tree level TeV scale seesaw scenarios in $\mu$TRISTAN
• Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity
• FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting
• Enhanced Astronomical Source Classification with Integration of Attention Mechanisms and Vision Transformers
• Search for a light charged Higgs boson in $t\to H^{\pm }b$ decays, with $H^{\pm }\to cs$, in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
• ArgRewrite V.2: an Annotated Argumentative Revisions Corpus
• Symbolic-Regression Boosting
• MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios
• Measurement of the Higgs boson inclusive and differential fiducial production cross sections in the diphoton decay channel with pp collisions at $\sqrt{s}$ = 13 TeV
• Your Face Mirrors Your Deepest Beliefs-Predicting Personality and Morals through Facial Emotion Recognition
• Forecasting Loss of Signal in Optical Networks with Machine Learning
• AI-Assisted Design Concept Exploration Through Character Space Construction
• Investigating Rumor News Using Agreement-Aware Search
• Exploring Factors Affecting Pedestrian Crash Severity Using TabNet: A Deep Learning Approach
• Event Log Sampling for Predictive Monitoring
• E-Commerce Dispute Resolution Prediction
• Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability
• Machine learning with tree tensor networks, CP rank constraints, and tensor dropout
• Measurement of Non-prompt ${\mathrm{D}}^0$-meson Elliptic Flow in Pb-Pb Collisions at $\sqrt{s_{\mathrm{NN}}}$ = 5.02 TeV
• Ensemble learning for blending gridded satellite and gauge-measured precipitation data
• Classification of the \emph{Fermi}-LAT Blazar Candidates of Uncertain type using eXtreme Gradient Boosting
• The CatSouth Quasar Candidate Catalog for the Southern Sky and a Unified All-Sky Catalog Based on Gaia DR3
• Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling
• Subtyping patients with chronic disease using longitudinal BMI patterns
• From Point to probabilistic gradient boosting for claim frequency and severity prediction
• J-PLUS DR3: Galaxy-Star-Quasar classification
• Machine Learning Analysis of Anomalous Diffusion
• FAIR AI Models in High Energy Physics
• Neural network-based emulation of interstellar medium models
• Skew-Probabilistic Neural Networks for Learning from Imbalanced Data
• The Backbone Method for Ultra-High Dimensional Sparse Machine Learning
• Learning About Social Context from Smartphone Data: Generalization Across Countries and Daily Life Moments
• Realizing the potential of deep neural network for analyzing neutron star observables and dense matter equation of state
• Detection Latencies of Anomaly Detectors: An Overlooked Perspective ?
• Predicting densities and elastic moduli of SiO2-based glasses by machine learning
• LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection Method
• Investigating the contribution of author- and publication-specific features to scholars' h-index prediction
• A Novel Self-Attention-Enabled Weighted Ensemble-Based Convolutional Neural Network Framework for Distributed Denial of Service Attack Classification
• Reliable Feature Selection for Adversarially Robust Cyber-Attack Detection
• Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts
• APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT
• Exploring and Enhancing Placement of IDS in RPL: A Federated Learning-based Approach
• Photometric Classification of Stars Around the Milky Way's Central Black Hole: I. Central Parsec
• Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features
• Search for $t\bar{t}H/A\to t\bar{t}t\bar{t}$ production in the multilepton final state in proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
• CANAL -- Cyber Activity News Alerting Language Model: Empirical Approach vs. Expensive LLM
• Reconstruction of Unstable Heavy Particles Using Deep Symmetry-Preserving Attention Networks
• Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network
• Testing the Robustness of AutoML Systems
• Model-assisted estimation in high-dimensional settings for survey data
• Energy reconstruction for large liquid scintillator detectors with machine learning techniques: aggregated features approach
• Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering
• Overview of AdaBoost : Reconciling its views to better understand its dynamics
• Separable spatio-temporal kriging for fast virtual sensing
• Predicting Solid State Material Platforms for Quantum Technologies
• HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques
• Farthest Point Sampling in Property Designated Chemical Feature Space as a General Strategy for Enhancing the Machine Learning Model Performance for Small Scale Chemical Dataset
• Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction
• Assessing the processes behind planet engulfment and its imprints
• MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators
• Classifying binary black holes from Population III stars with the Einstein Telescope: A machine-learning approach
• Search for pair production of boosted Higgs bosons via vector-boson fusion in the $b\bar{b}b\bar{b}$ final state using $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
• Towards a data-driven model of the sky from low Earth orbit as observed by the Hubble Space Telescope
• Learning Guided Automated Reasoning: A Brief Survey
• Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data
• EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting
• Is a Classification Procedure Good Enough? A Goodness-of-Fit Assessment Tool for Classification Learning
• Survey and Experiments on Mental Disorder Detection via Social Media: From Large Language Models and RAG to Agents
• Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency Scenarios Using Physiological and Demographic Data from Medical-Grade Devices
• Objective comparison of methods to decode anomalous diffusion
• Follow the Water: Finding Water, Snow and Clouds on Terrestrial Exoplanets with Photometry and Machine Learning
• Optimal Data Generation in Multi-Dimensional Parameter Spaces, using Bayesian Optimization
• Machine learning for accuracy in density functional approximations
• Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechia
• A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction
• My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music
• Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach
• Learning migration models for supporting incremental language migrations of software applications
• Predicting Abandonment in Online Coding Tutorials
• Machine learning and natural language processing models to predict the extent of food processing
• Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs
• Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning: A Case Study on a Coronary Artery Disease Patient Cohort
• Cosmology with Galaxy Cluster Properties using Machine Learning
• X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs
• SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees
• Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs
• From Halos to Galaxies. VI. Improved halo mass estimation for SDSS groups and measurement of the halo mass function
• CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
• Deep Convolutional Neural Network Ensembles using ECOC
• SNGuess: A method for the selection of young extragalactic transients
• Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring
• Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review
• Using Machine Learning to Improve Neutron Identification in Water Cherenkov Detectors
• Capability Iteration Network for Robot Path Planning
• Towards robust and speculation-reduction real estate pricing models based on a data-driven strategy
• Mass classification of dark matter perturbers of stellar tidal streams
• Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
• Search for lepton-flavor-violating ${\tau }^{-}\to {\mu }^{-}{\mu }^{+}{\mu }^{-}$ decays at Belle II
• Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization
• The Validation of Graph Model-Based, Gate Level Low-Dimensional Feature Data for Machine Learning Applications
• The completeness of the open cluster census towards the Galactic anticentre
• Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI
• J-PLUS: A catalogue of globular cluster candidates around the M81/M82/NGC3077 triplet of galaxies
• Quantum Operation of Affective Artificial Intelligence
• Optimizing fairness tradeoffs in machine learning with multiobjective meta-models
• Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research
• Selection of powerful radio galaxies with machine learning
• Dark and Bright Signatures of Di-Higgs Production
• DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search
• Adaptive Learning of Aggregate Analytics under Dynamic Workloads
• Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating
• A model for predicting price polarity of real estate properties using information of real estate market websites
• Efficient Hate Speech Detection: Evaluating 38 Models from Traditional Methods to Transformers
• Beyond Cuts in Small Signal Scenarios -- Enhanced Sneutrino Detectability Using Machine Learning
• The Magellanic Puzzle: origin of the periphery
• The four cosmic tidal web elements from the $\beta$-skeleton
• ADAM: An AI Reasoning and Bioinformatics Model for Alzheimer's Disease Detection and Microbiome-Clinical Data Integration
• Modeling the Telemarketing Process using Genetic Algorithms and Extreme Boosting: Feature Selection and Cost-Sensitive Analytical Approach
• When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data
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• LogitBoost autoregressive networks
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• Determining clinically relevant features in cytometry data using persistent homology
• PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information
• LLM-Powered Prediction of Hyperglycemia and Discovery of Behavioral Treatment Pathways from Wearables and Diet
• fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library
• Smoothness and monotonicity constraints for neural networks using ICEnet
• Dynamic Advisor-Based Ensemble (dynABE): Case study in stock trend prediction of critical metal companies
• Positive and unlabelled machine learning reveals new fast radio burst repeater candidates
• Search for single vector-like $B$ quark production in hadronic final states at the LHC
• Frost Prediction Using Machine Learning Methods in Fars Province
• A catalogue of asteroseismically calibrated ages for APOGEE DR17. The predictions of a CatBoost machine learning model based on the [Mg/Ce] chemical clock and other stellar parameters
• FedNLP: An interpretable NLP System to Decode Federal Reserve Communications
• The left-right supersymmetric option at a high-energy upgrade of the LHC
• Unifying local and global model explanations by functional decomposition of low dimensional structures
• Resolving Combinatorial Ambiguities in Dilepton $t\bar{t}$ Event Topologies with Neural Networks
• On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
• The ones that got away: chemical tagging of globular cluster-origin stars with Gaia BP/RP spectra
• Deep learning interpretability analysis for carbon star identification in Gaia DR3
• An efficient hybrid classification approach for COVID-19 based on Harris Hawks Optimization and Salp Swarm Optimization
• Photometric Redshift Analysis using Supervised Learning Algorithms and Deep Learning
• Search for a new resonance decaying into two spin-0 bosons in a final state with two photons and two bottom quarks in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks
• Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction
• Search for neutral long-lived particles that decay into displaced jets in the ATLAS calorimeter in association with leptons or jets using $pp$ collisions at $\sqrt{s}=13$ TeV
• Learning to rumble: Automated elephant call classification, detection and endpointing using deep architectures
• MT-CYP-Net: Multi-Task Network for Pixel-Level Crop Yield Prediction Under Very Few Samples
• Exploring the Interpretability of Forecasting Models for Energy Balancing Market
• Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization
• Tab2vox: CNN-Based Multivariate Multilevel Demand Forecasting Framework by Tabular-To-Voxel Image Conversion
• Compound virtual screening by learning-to-rank with gradient boosting decision tree and enrichment-based cumulative gain
• Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning
• Estimation of Ebola's spillover infection exposure in Sierra Leone based on sociodemographic and economic factors
• ControlBurn: Feature Selection by Sparse Forests
• Deep Low-Density Separation for Semi-Supervised Classification
• SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features
• On the Privacy Risks of Cell-Based NAS Architectures
• AGBoost: Attention-based Modification of Gradient Boosting Machine
• TabAttention: Learning Attention Conditionally on Tabular Data
• Smartwatch-derived Acoustic Markers for Deficits in Cognitively Relevant Everyday Functioning
• Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks
• LARCH: Large Language Model-based Automatic Readme Creation with Heuristics
• Regression-Based Model Error Compensation for Hierarchical MPC Building Energy Management System
• Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud
• Persuasion or Insulting? Unpacking Discursive Strategies of Gender Debate in Everyday Feminism in China
• Enhancing coastal water body segmentation with Landsat Irish Coastal Segmentation (LICS) dataset
• CAT: Interpretable Concept-based Taylor Additive Models
• Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting
• Feature Group Tabular Transformer: A Novel Approach to Traffic Crash Modeling and Causality Analysis
• Mechanics-Informed Machine Learning for Geospatial Modeling of Soil Liquefaction: Global and National Surrogate Models for Simulation and Near-Real-Time Response
• Auto-Configured Explainable Graph Neural Networks for Multi-Site Pollution Prediction
• A panoramic aerodynamic performance prediction method for turbomachinery cascades using transformer-enhanced neural operator
• Analyzing Uncertainty Quantification in Statistical and Deep Learning Models for Probabilistic Electricity Price Forecasting
• COSMOS-Web galaxy groups: Evolution of red sequence and quiescent galaxy fraction
• Discovery of Fatigue Strength Models via Feature Engineering and automated eXplainable Machine Learning applied to the welded Transverse Stiffener
• Flexing RISC-V Instruction Subset Processors to Extreme Edge
• Measurement of the branching fraction ratio $R_K$ at large dilepton invariant mass
• How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning
• Observation of $VVZ$ production at $\sqrt{s}=13$ TeV with the ATLAS detector
• Combining Bayesian Optimization, SVD and Machine Learning for Advanced Optical Design
• Reweighting simulated events using machine-learning techniques in the CMS experiment
• Probing the Inert Doublet Model via Vector-Boson Fusion at a Muon Collider
• ODTE -- An ensemble of multi-class SVM-based oblique decision trees
• "Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models
• Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets
• Explaining Predictions by Characteristic Rules
• J-PLUS: Bayesian object classification with a strum of BANNJOS
• Discovering Nuclear Models from Symbolic Machine Learning
• Emission Line Predictions for Mock Galaxy Catalogues: a New Differentiable and Empirical Mapping from DESI
• Portable acceleration of CMS computing workflows with coprocessors as a service
• TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation
• Search for direct production of electroweakinos in final states with one lepton, jets and missing transverse momentum in pp collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
• Tree based Single LED Indoor Visible Light Positioning Technique
• A multi-band AGN-SFG classifier for extragalactic radio surveys using machine learning
• Strokes2Surface: Recovering Curve Networks From 4D Architectural Design Sketches
• Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems
• Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis
• Boosted top tagging and its interpretation using Shapley values
• Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
• Search for dark photons from Higgs boson decays via $ZH$ production with a photon plus missing transverse momentum signature from $pp$ collisions at $\sqrt{s}$ = 13 TeV with the ATLAS detector
• A Boosting Approach to Constructing an Ensemble Stack
• Probing a ${\mathrm{Z}}^{\prime }$ with non-universal fermion couplings through top quark fusion, decays to bottom quarks, and machine learning techniques
• CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems
• An Embedded Feature Selection Framework for Control
• A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy Selection
• 360NorVic: 360-Degree Video Classification from Mobile Encrypted Video Traffic
• Predicting antimicrobial activity of conjugated oligoelectrolyte molecules via machine learning
• Inferring Exoplanet Disequilibria with Multivariate Information in Atmospheric Reaction Networks
• Birdspotter: A Tool for Analyzing and Labeling Twitter Users
• Classification supporting COVID-19 diagnostics based on patient survey data
• MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling
• Enhancing generalization in endwall film cooling prediction: Incorporating the superposition principle into transformer-based neural operators
• MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles
• Ranking News-Quality Multimedia
• Patient Clustering via Integrated Profiling of Clinical and Digital Data
• QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting
• Predicting Influenza A Viral Host Using PSSM and Word Embeddings
• Generating Explainable Rule Sets from Tree-Ensemble Learning Methods by Answer Set Programming
• The Vocabulary of Flaky Tests in the Context of SAP HANA
• PassAI: explainable artificial intelligence algorithm for soccer pass analysis using multimodal information resources
• Polarized and unpolarized gluon PDFs: generative machine learning applications for lattice QCD matrix elements at short distance and large momentum
• Forecasting Player Behavioral Data and Simulating in-Game Events
• Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
• XGBoost "is all you need": the case of forecasting transmitted heat energy in District Heating Systems
• UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving
• A Machine Learning-based Non-precipitating Clouds Estimation for THz Dual-Frequency Radar
• Describing Hadronization via Histories and Observables for Monte-Carlo Event Reweighting
• SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal
• Classification of magnetic order from electronic structure by using machine learning
• Machine-Learning Performance on Higgs-Pair Production Associated with Dark Matter at the LHC
• A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions
• CrossTrainer: Practical Domain Adaptation with Loss Reweighting
• Predicting Stellar Rotation Periods Using XGBoost
• TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data
• Short-Term Flow-Based Bandwidth Forecasting using Machine Learning
• Probing non-standard $b\bar{b}h$ interaction at the LHC at $\sqrt{s}=13$ TeV
• Board gender diversity and emissions performance: Insights from panel regressions, machine learning, and explainable AI
• Interplay of Traditional Methods and Machine Learning Algorithms for Tagging Boosted Objects
• Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data
• Cosmic topology. Part IVa. Classification of manifolds using machine learning: a case study with small toroidal universes
• Sustainable Investing and the Cross-Section of Returns and Maximum Drawdown
• Identifying type II quasars at intermediate redshift with few-shot learning photometric classification
• Euler Characteristic Tools For Topological Data Analysis
• Rapid Image Labeling via Neuro-Symbolic Learning
• Efficient Targeted Learning of Heterogeneous Treatment Effects for Multiple Subgroups
• Experimental exploration of ErB${}_2$ and SHAP analysis on a machine-learned model of magnetocaloric materials for materials design
• A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem
• On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics -- Empirical Study on Brown Build and Risk Prediction
• The Yield Curve as a Recession Leading Indicator. An Application for Gradient Boosting and Random Forest
• Slepton searches in the trilinear RPV SUSY scenarios at the HL-LHC and HE-LHC
• Classification of Stochastic Processes with Topological Data Analysis
• Use of Machine Learning for gamma/hadron separation with HAWC
• A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems
• A nonparametric framework for treatment effect modifier discovery in high dimensions
• Improving Computer Vision Interpretability: Transparent Two-level Classification for Complex Scenes
• High-Accuracy Physical Property Prediction for Organics via Molecular Representation Learning: Bridging Data to Discovery
• Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
• Inclusive, prompt and non-prompt $\mathrm{J}/\psi$ identification in proton-proton collisions at the Large Hadron Collider using machine learning
• FiNCAT: Financial Numeral Claim Analysis Tool
• Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
• Binary and Multinomial Classification through Evolutionary Symbolic Regression
• Machine Learning-Based Automated Assessment of Intracorporeal Suturing in Laparoscopic Fundoplication
• Intrinsic Direct Air Capture
• Hedonic Prices and Quality Adjusted Price Indices Powered by AI
• Early Identification of Optical Tidal Disruption Events: A science module for the Fink broker
• Machine learning approach for mapping the stable orbits around planets
• Hierarchical Capsule Prediction Network for Marketing Campaigns Effect
• The Pristine Survey -- XXVII. Journey to the Galactic outskirts -- Mapping the outer halo red giant stars down to the very metal-poor end
• Multi-Higgs Boson Probes of the Dark Sector
• Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals
• On marginal feature attributions of tree-based models
• Learning to Rank Graph-based Application Objects on Heterogeneous Memories
• Measurement of beauty-quark production in pp collisions at $\sqrt{s}=13$ TeV via non-prompt D mesons
• Cueless EEG imagined speech for subject identification: dataset and benchmarks
• Ruling the Unruly: Designing Effective, Low-Noise Network Intrusion Detection Rules for Security Operations Centers
• WebSHAP: Towards Explaining Any Machine Learning Models Anywhere
• Clinical utility of foundation models in musculoskeletal MRI for biomarker fidelity and predictive outcomes
• Missing Features Reconstruction and Its Impact on Classification Accuracy
• A Transferable Physics-Informed Framework for Battery Degradation Diagnosis, Knee-Onset Detection and Knee Prediction
• Neural Network Predicts Ion Concentration Profiles under Nanoconfinement
• BeeTLe: An Imbalance-Aware Deep Sequence Model for Linear B-Cell Epitope Prediction and Classification with Logit-Adjusted Losses
• Sound-Dr: Reliable Sound Dataset and Baseline Artificial Intelligence System for Respiratory Illnesses
• DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps
• Introducing Grid WAR: Rethinking WAR for Starting Pitchers
• Local Boosting for Weakly-Supervised Learning
• Exploring the Dependence of Gas Cooling and Heating Functions on the Incident Radiation Field with Machine Learning
• Assessment of Developmental Dysgraphia Utilising a Display Tablet
• Comparing Shape-Constrained Regression Algorithms for Data Validation
• Constraints on the photon polarisation in $b\to s\gamma$ transitions using $B_s^0\to \varphi e^{+}{e}^{-}$ decays
• ESAVE: Estimating Server and Virtual Machine Energy
• Improvements to monoscopic analysis for imaging atmospheric Cherenkov telescopes: Application to H.E.S.S
• Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge Features
• Extracting Higgs Self-Coupling Constraints through Triple Higgs Boson Production at Future Hadron Colliders
• Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method
• DIGITWISE: Digital Twin-based Modeling of Adaptive Video Streaming Engagement
• Practical Forecasting of Cryptocoins Timeseries using Correlation Patterns
• Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning
• Machine learning-based identification of Gaia astrometric exoplanet orbits
• Green Learning for STAR-RIS mmWave Systems with Implicit CSI
• Jet Substructure Probe on Scalar Leptoquark Models via Top Polarization
• First measurement of D${}^{\ast +}$ vector spin alignment in Pb$-$Pb collisions at $\sqrt{{\mathbf{s}}_{\mathrm{NN}}}=5.02$ TeV
• COVIDX: Computer-aided diagnosis of Covid-19 and its severity prediction with raw digital chest X-ray images
• Topic Shifts as a Proxy for Assessing Politicization in Social Media
• Predicting Legal Proceedings Status: Approaches Based on Sequential Text Data
• Feedback Shaping: A Modeling Approach to Nurture Content Creation
• First Simultaneous Determination of Inclusive and Exclusive $\left|V_{ub}\right|$
• Applying machine learning to Galactic Archaeology: how well can we recover the origin of stars in Milky Way-like galaxies?
• Agnostic Learning for Packing Machine Stoppage Prediction in Smart Factories
• Predicting Volleyball Season Performance Using Pre-Season Wearable Data and Machine Learning
• Machine learning based stellar classification with highly sparse photometry data
• Neural Optimization with Adaptive Heuristics for Intelligent Marketing System
• Triple-Stream Deep Feature Selection with Metaheuristic Optimization and Machine Learning for Multi-Stage Hypertensive Retinopathy Diagnosis
• A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting
• MAISTEP -- a new grid-based machine learning tool for inferring stellar parameters I. Ages of giant-planet host stars
• Searches for neutrino counterparts of gravitational waves from the LIGO/Virgo third observing run with KM3NeT
• An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection
• SpotV2Net: Multivariate Intraday Spot Volatility Forecasting via Vol-of-Vol-Informed Graph Attention Networks
• Forecasting the future development in quality and value of professional football players
• A Real-World Implementation of Unbiased Lift-based Bidding System
• The MIT Supercloud Workload Classification Challenge
• Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning
• Machine Learning and Kalman Filtering for Nanomechanical Mass Spectrometry
• LaSER: Language-Specific Event Recommendation
• SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems
• rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models
• Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy
• Analysis of $B_{(s)}^0\to {\mu }^{+}{\mu }^{-}$ decays at the LHC
• STRisk: A Socio-Technical Approach to Assess Hacking Breaches Risk
• Unmasking the physical information inherent to interstellar spectral line profiles with Machine Learning. I. Application of LTE to HCN and HNC transitions
• Grafting for Combinatorial Boolean Model using Frequent Itemset Mining
• Eye Movements as Indicators of Deception: A Machine Learning Approach
• Predicting Relationship Labels and Individual Personality Traits from Telecommunication History in Social Networks using Hawkes Processes
• Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services
• CH${}_3$OH as a User-Friendly Density Probe: Calibration and Beyond
• Adaptive Machine Learning for Resource-Constrained Environments
• Predictive Model Development to Identify Failed Healing in Patients after Non-Union Fracture Surgery
• A Machine Learning Approach Towards Runtime Optimisation of Matrix Multiplication
• The ProfessionAl Go annotation datasEt (PAGE)
• Random Hyperboxes
• Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints
• Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods
• The use of Boosted Decision Trees for Energy Reconstruction in JUNO experiment
• TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression
• Deep Particulate Matter Forecasting Model Using Correntropy-Induced Loss
• Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series Measurements
• How effective are Graph Neural Networks in Fraud Detection for Network Data?
• Study of WH production through vector boson scattering and extraction of the relative sign of the W and Z couplings to the Higgs boson in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector
• A Survey of Features Used for Representing Black-box Single-objective Continuous Optimization
• A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction
• Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction
• Gravitational collapse at low to moderate Mach numbers: The relationship between star formation efficiency and the fraction of mass in the massive object
• Automated flakiness detection in quantum software bug reports
• On Explainability in AI-Solutions: A Cross-Domain Survey
• Machine Learning for maximizing the memristivity of single and coupled quantum memristors
• Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC
• TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model
• Search for heavy neutral leptons in electron-positron and neutral-pion final states with the MicroBooNE detector
• FANAL -- Financial Activity News Alerting Language Modeling Framework
• Can Few Lines of Code Change Society ? Beyond fack-checking and moderation : how recommender systems toxifies social networking sites
• Observation of the ${\Lambda }_b^0\to J/\psi {\Xi }^{-}{K}^{+}$ and ${\Xi }_b^0\to J/\psi {\Xi }^{-}{\pi }^{+}$ decays
• Machine Learning Application for $\mathbf{\Lambda }$ Hyperon Reconstruction in CBM at FAIR
• Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis
• Measurement of the non-prompt D-meson fraction as a function of multiplicity in proton$-$proton collisions at $\sqrt{s}=13$ TeV
• Uncertainty in Lung Cancer Stage for Outcome Estimation via Set-Valued Classification
• PAIReD jet: A multi-pronged resonance tagging strategy across all Lorentz boosts
• Searches for direct slepton production in the compressed-mass corridor in $\sqrt{s}=13$ TeV $pp$ collisions with the ATLAS detector
• Automatic Time Signature Determination for New Scores Using Lyrics for Latent Rhythmic Structure
• Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
• Tab-Attention: Self-Attention-based Stacked Generalization for Imbalanced Credit Default Prediction
• 2D Slice-driven Physics-based 3D Motion Estimation Framework for Pancreatic Radiotherapy
• Search for $B^0\to K^{\ast 0}{\tau }^{+}{\tau }^{-}$ decays at the Belle II experiment
• BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models
• Insulin Resistance Prediction From Wearables and Routine Blood Biomarkers
• Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets
• Learning novel representations of variable sources from multi-modal $\text{Gaia}$ data via autoencoders
• CryptoAnalytics: Cryptocoins Price Forecasting with Machine Learning Techniques
• A Federated Random Forest Solution for Secure Distributed Machine Learning
• Interpretable Feature Construction for Time Series Extrinsic Regression
• AI-Driven SEEG Channel Ranking for Epileptogenic Zone Localization
• Time Series Information Visualization -- A Review of Approaches and Tools
• Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling
• A Bayesian neural network predicts the dissolution of compact planetary systems
• A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail
• Supervised Learning Models for Early Detection of Albuminuria Risk in Type-2 Diabetes Mellitus Patients
• Co-Membership-based Generic Anomalous Communities Detection
• Self-supervised Graph Representation Learning for Black Market Account Detection
• EnsembleIV: Creating Instrumental Variables from Ensemble Learners for Robust Statistical Inference with ML-Generated Variables
• SpecTf: Transformers Enable Data-Driven Imaging Spectroscopy Cloud Detection
• Observation of the $B^0\to {\overline{D}}^{\ast 0}{K}^{+}{\pi }^{-}$ and $B_s^0\to {\overline{D}}^{\ast 0}{K}^{-}{\pi }^{+}$ decays
• A Short-Term Predict-Then-Cluster Framework for Meal Delivery Services
• Approximating Opaque Top-k Queries
• Evaluating the Impact of Data Availability on Machine Learning-augmented MPC for a Building Energy Management System
• Why is the prediction wrong? Towards underfitting case explanation via meta-classification
• Investigating Resource-efficient Neutron/Gamma Classification ML Models Targeting eFPGAs
• Towards an Argument Mining Pipeline Transforming Texts to Argument Graphs
• Angular analysis of $B^0\to K^{\ast 0}{e}^{+}{e}^{-}$ decays
• Chameleon Screening Depends on the Shape and Structure of NFW Halos
• Dynamic Co-Optimization Compiler: Leveraging Multi-Agent Reinforcement Learning for Enhanced DNN Accelerator Performance
• Measurement of beauty production via non-prompt charm hadrons in p-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$ TeV
• Data-Driven Logistic Regression Ensembles With Applications in Genomics
• Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider
• Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models
• RO-FIGS: Efficient and Expressive Tree-Based Ensembles for Tabular Data
• Attitudes Towards Migration in a COVID-19 Context: Testing a Behavioral Immune System Hypothesis with Twitter Data
• Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties
• Vectorization of Gradient Boosting of Decision Trees Prediction in the CatBoost Library for RISC-V Processors
• A Machine Learning Benchmarking Framework for Lipid Nanoparticle Transfection Efficiency Prediction
• Exploring Context Generalizability in Citywide Crowd Mobility Prediction: An Analytic Framework and Benchmark
• Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
• CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion
• Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications
• Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion
• Causal Interventional Prediction System for Robust and Explainable Effect Forecasting
• Policy-Guided ML for Energy Savings: Cell On/Off Switching under Operator QoS Constraints in Real 5G Networks
• BeGREEN Intelligent Plane for AI-driven Energy Efficient O-RAN management
• Predicting gestational age at birth in the context of preterm birth from multi-modal fetal MRI
• Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model
• Accelerating the Design of Resorbable Magnesium Alloys: A Machine Learning Approach to Property Prediction
• Imbalanced Regression Pipeline Recommendation
• A reluctant additive model framework for interpretable nonlinear individualized treatment rules
• Learning Objective Boundaries for Constraint Optimization Problems
• Optimizing Supernova Classification with Interpretable Machine Learning Models
• Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning
• Stellar masses and mass ratios for Gaia open cluster members
• Characterisation of Hamamatsu R11065-20 PMTs for use in the SABRE South NaI(Tl) Crystal Detectors
• Low surface brightness galaxies from BASS+MzLS with Machine Learning
• LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges
• Machine Learning applications for Cataclysmic Variable discovery in the ZTF alert stream
• Boosted decision trees approach to neck alpha events discrimination in DEAP-3600 experiment
• Measurement of the ratio of the B${}_{\mathrm{c}}^{+}$ $\to$ J/$\psi$${\tau }^{+}{\nu }_{\tau }$ and B${}_{\mathrm{c}}^{+}$ $\to$ J/$\psi$ ${\mu }^{+}{\nu }_{\mu }$ branching fractions using three-prong $\tau$ lepton decays
• Accelerating exoplanet climate modelling: A machine learning approach to complement 3D GCM grid simulations
• Complexity-based code embeddings
• A Morphological Model to Separate Resolved-Unresolved Sources in the DESI Legacy Surveys: Application in the LS4 Alert Stream
• On the Performance of Cyber-Biomedical Features for Intrusion Detection in Healthcare 5.0
• Unified Robust Boosting
• Assessing Low Back Movement with Motion Tape Sensor Data Through Deep Learning
• An Intelligent Multi-task Supply Chain Model Based on Bio-inspired Networks
• What Artificial Intelligence can do for High-Performance Computing systems?
• Multiplicity dependence of ${\Xi }_c^{+}$ and ${\Xi }_c^0$ production in pp collisions at $\sqrt{s}=13$ TeV
• Unlocking GOES: A Statistical Framework for Quantifying the Evolution of Convective Structure in Tropical Cyclones
• A Parallel Scan Algorithm in the Tensor Core Unit Model
• User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant
• Interpretable machine learned predictions of adsorption energies at the metal--oxide interface
• Performance evaluation of matrix factorization for fMRI data
• Distinguishing Orbiting and Infalling Dark Matter Particles with Machine Learning
• TREAT-Net: Tabular-Referenced Echocardiography Analysis for Acute Coronary Syndrome Treatment Prediction
• REDS: Rule Extraction for Discovering Scenarios
• Factor Importance Ranking and Selection using Total Indices
• Characterising authors on the extent of their paper acceptance: A case study of the Journal of High Energy Physics
• Effective Predictive Modeling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-learning Gradient Boosting
• Optimal sensitivity of anomalous charged triple gauge couplings through $W$ boson helicity at the $e^{+}{e}^{-}$ colliders
• Identification of low-momentum muons in the CMS detector using multivariate techniques in proton-proton collisions at $\sqrt{s}$ = 13.6 TeV
• Red is Sus: Automated Identification of Low-Quality Service Availability Claims in the US National Broadband Map
• ViF-SD2E: A Robust Weakly-Supervised Method for Neural Decoding
• Cosmology with Persistent Homology: Parameter Inference via Machine Learning
• Accelerating the Discovery of Materials with Expected Thermal Conductivity via a Synergistic Strategy of DFT and Interpretable Deep Learning
• Using clarification questions to improve software developers' Web search
• Pointing Accuracy Improvements for the South Pole Telescope with Machine Learning
• Asynch-SGBDT: Asynchronous Parallel Stochastic Gradient Boosting Decision Tree based on Parameters Server
• Crash Severity Risk Modeling Strategies under Data Imbalance
• Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing
• Mamba-based Deep Learning Approach for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography
• To remove or not remove Mobile Apps? A data-driven predictive model approach
• Transformers Meet Relational Databases
• Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets
• A Photometric Classifier for Tidal Disruption Events in Rubin LSST
• Polar Encoding: A Simple Baseline Approach for Classification with Missing Values
• VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization
• Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
• Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning
• Deep Gaussian Processes for Air Quality Inference
• Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection
• Efficient Human-Object-Interaction (EHOI) Detection via Interaction Label Coding and Conditional Decision
• Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation
• Simulating counterfactuals
• Individualized Context-Aware Tensor Factorization for Online Games Predictions
• Learning to Select SAT Encodings for Pseudo-Boolean and Linear Integer Constraints
• Breiman meets Bellman: Non-Greedy Decision Trees with MDPs
• Machine Learning Classification of Sphalerons and Black Holes at the LHC
• Compressed representation of brain genetic transcription
• Measurement of $t$-channel single-top-quark production in $pp$ collisions at $\sqrt{s}=5.02$ TeV with the ATLAS detector
• Search for $B_c^{+}\to {\pi }^{+}{\mu }^{+}{\mu }^{-}$ decays and measurement of the branching fraction ratio $\mathcal{B}(B_c^{+}\to \psi (2S){\pi }^{+})/\mathcal{B}(B_c^{+}\to J/\psi {\pi }^{+})$
• Using Conformal Win Probability to Predict the Winners of the Cancelled 2020 NCAA Basketball Tournaments
• AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary Masking
• Using spatial extreme-value theory with machine learning to model and understand spatially compounding weather extremes
• CardioCaps: Attention-based Capsule Network for Class-Imbalanced Echocardiogram Classification
• Optimizing BioTac Simulation for Realistic Tactile Perception
• Using Machine Learning to Separate Cherenkov and Scintillation Light in Hybrid Neutrino Detector
• Long-term foehn reconstruction combining unsupervised and supervised learning
• Positive-Unlabelled Learning for identifying new candidate Dietary Restriction-related genes among Ageing-related genes
• Link Prediction in Bipartite Networks
• Is text normalization relevant for classifying medieval charters?
• MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation
• Crime and social environments: Differences between misdemeanors and felonies
• Sensitivity to longitudinal vector boson scattering and doubly-charged Higgs boson production in ${\mathbf{W}}^{\pm }{\mathbf{W}}^{\pm }\mathbf{jj}$ at future hadron colliders
• Deep learning reveals key predictors of thermal conductivity in covalent organic frameworks
• Analysis of ${\Lambda }_b^0\to p{K}^{-}{\mu }^{+}{\mu }^{-}$ decays
• A Practical Theory of Generalization in Selectivity Learning
• Probing Light Scalars and Vector-like Quarks at the High-Luminosity LHC
• Bridging Simulations and Observations: New Insights into Galaxy Formation Simulations via Out-of-Distribution Detection and Bayesian Model Comparison
• Generating Global and Local Explanations for Tree-Ensemble Learning Methods by Answer Set Programming
• Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting
• Predicting total time to compress a video corpus using online inference systems
• A General-Purpose Framework for Chemical Reaction Representation with Atomic Correspondence and Flexible Condition Adaptation
• Circuit design in biology and machine learning. II. Anomaly detection
• Predictive Modeling of Shading Effects on Photovoltaic Panels Using Regression Analysis
• Measurements of Higgs boson production cross section in the four-lepton final state in proton-proton collisions at $\sqrt{s}$ = 13.6 TeV
• Tree Models Machine Learning to Identify Liquid Metal based Alloy Superconductor
• Rethinking Timing Residuals: Advancing PET Detectors with Explicit TOF Corrections
• Thought Flow Nets: From Single Predictions to Trains of Model Thought
• Learning Selection Cuts With Gradients
• Interpretable Early Warnings using Machine Learning in an Online Game-experiment
• Search for a cH signal in the associated production of at least one charm quark with a Higgs boson in the diphoton decay channel in pp collisions at $\sqrt{s}$ = 13 TeV
• Synthetic Data Augmentation for Enhancing Harmful Algal Bloom Detection with Machine Learning
• Identification of Neuronal Polarity by Node-Based Machine Learning
• Transfer Learning for Node Regression Applied to Spreading Prediction
• Deep Neural Networks Guided Ensemble Learning for Point Estimation
• Measurements of inclusive and differential Higgs boson production cross sections at $\sqrt{s}$ = 13.6 TeV in the H $\to$ $\gamma \gamma$ decay channel
• Search for lepton-flavor-violating ${\tau }^{-}\to {\ell }^{-}{K}_s^0$ decays at Belle and Belle II
• Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma
• REDELEX: A Framework for Relational Deep Learning Exploration
• Investigating Forecasting Models for Pandemic Infections Using Heterogeneous Data Sources: A 2-year Study with COVID-19
• Linking the Dynamics of User Stance to the Structure of Online Discussions
• Search for the decay $B^0\to \varphi \varphi$
• Search for the lepton-flavor-violating ${\tau }^{-}\to e^{\mp }{\ell }^{\pm }{\ell }^{\mp }$ decays at Belle II
• Search for decays of the Higgs boson into scalar particles decaying into four or six $b$-quarks using $pp$ collisions at $\sqrt{s}=13\mathrm{TeV}$ with the ATLAS detector
• The miniJPAS survey quasar selection V: combined algorithm
• Search for the production of a Higgs boson in association with a single top quark in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
• Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning
• Machine Learning-Driven Predictive Resource Management in Complex Science Workflows
• Measurement of the branching fraction of the ${\Lambda }_b^0\to J/\psi \Lambda$ decay and isospin asymmetry of $B\to J/\psi K$ decays
• Optimizing Prognostic Biomarker Discovery in Pancreatic Cancer Through Hybrid Ensemble Feature Selection and Multi-Omics Data
• Most Western African migrants remain local and travel short distances
• Explainable AI for Infection Prevention and Control: Modeling CPE Acquisition and Patient Outcomes in an Irish Hospital with Transformers
• Constraints on new physics from decays of polarized ${\Lambda }_b^0$ baryons at the FCC-ee
• Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
• Attention-Enhanced LSTM Modeling for Improved Temperature and Rainfall Forecasting in Bangladesh
• When the Label Ignores the Request: Auditing Policy-Selected Targets in Synthetic Conversational Music Recommendation
• Search for low-mass hidden-valley dark showers with non-prompt muon pairs in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• Learning from students' perception on professors through opinion mining
• Measurement of the branching fractions and longitudinal polarisations of $B_{(s)}^0\to K^{\ast 0}\overline{K}{}^{\ast 0}$ decays
• Machine learning for smell: Ordinal odor strength prediction of molecular perfumery components
• Explainability Methods for Hardware Trojan Detection: A Systematic Comparison
• Measurement of the Hubble constant using the Dark Energy Survey Year 6 Gold galaxy catalogue and the fourth Gravitational-Wave Transient Catalogue
• A Simple and Interpretable Predictive Model for Healthcare
• A Green Learning Approach to LDCT Image Restoration
• From physical surfaces to human-centric heat stress: LST and UTCI heat mapping reveals nonlinear effects of urban morphology
• Probabilistic Spectral Reconstruction of Trans-Neptunian Objects from Sparse Photometry: A Framework for Taxonomy, Survey Optimization, and Outlier Detection
• Euclid: Discovery of 31 new quasars at $6.6<z<7.8$
• Explainable Machine Learning in Healthcare: Methods, Interpretation, and Applications for Clinical Research
• Using machine learning to speed up new and upgrade detector studies: a calorimeter case
• Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation
• Optimizing Memory Allocation in Distributed Clusters with Predictive Modeling
• A Comparative Study of QSPR Methods on a Unique Multitask PAMPA dataset
• The miniJPAS and J-NEP surveys: Machine learning for star-galaxy separation
• Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectives
• Multiclass Graph-Based Large Margin Classifiers: Unified Approach for Support Vectors and Neural Networks
• A Model of Causal Explanation on Neural Networks for Tabular Data
• A generalized motif-based Naïve Bayes model for sign prediction in complex networks
• Demystifying the Role of Rule-based Detection in AI Systems for Windows Malware Detection
• Beyond Interpretability: Exploring the Comprehensibility of Adaptive Video Streaming through Large Language Models
• The Stellar Abundances and Galactic Evolution Survey (SAGES). IV. Surface Gravity Estimation and Giant-Dwarf Separation with the DDO51 Filter
• Gaia GraL: Gaia gravitational lens systems IX. Using XGBoost to explore the Gaia Focused Product Release GravLens catalogue
• Different thresholding methods on Nearest Shrunken Centroid algorithm
• sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging
• ProReco: A Process Discovery Recommender System
• Tempo: Helping Data Scientists and Domain Experts Collaboratively Specify Predictive Modeling Tasks
• Understanding Emotional Disclosure via Diary-keeping in Quarantine on Social Media
• A Modular Approach to Automatic Cyber Threat Attribution using Opinion Pools
• Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques
• Let's Predict Who Will Move to a New Job
• Rating Prediction in Conversational Task Assistants with Behavioral and Conversational-Flow Features
• Measuring vagueness and subjectivity in texts: from symbolic to neural VAGO
• Adaptive Conformal Prediction by Reweighting Nonconformity Score
• Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection
• Which Upstream Solar Wind Conditions Matter Most in Predicting Bz within Coronal Mass Ejections
• Explainability's Gain is Optimality's Loss? -- How Explanations Bias Decision-making
• A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring
• Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles
• Individualized prescriptive inference in ischaemic stroke
• Multiple Additive Neural Networks for Structured and Unstructured Data
• Data-Driven Modelling to predict forest fire spread in the Patagonian region in Argentina
• Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees
• Surface waves prediction based on long-range acoustic backscattering in a mid-frequency range
• Measurement of the production cross section of prompt ${\Xi }_{\mathrm{c}}^0$ baryons in p$-$Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$ TeV
• Mitigating Concept Drift in QoS Prediction for Teleoperation of Autonomous Vehicles Using Historic Data
• Influence of Autoencoder Latent Space on Classifying IoT CoAP Attacks
• Study of $b$-hadron decays to ${\Lambda }_c^{+}{h}^{-}{h}^{\prime -}$ final states
• Toward Efficient Testing of Graph Neural Networks via Test Input Prioritization
• From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics*
• Photometric redshifts for quasars from WISE-PS1-STRM
• Machine Learning in Epidemiology
• Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics
• Measurement of B meson production fraction ratios in proton-proton collisions at $\sqrt{s}$ = 13 TeV using open-charm and charmonium decays
• Exploring Higgs EFT in $t\bar{t}hh$ at High Luminosity LHC
• A Lightweight Learned Cardinality Estimation Model
• XClass: An Automated Multiwavelength Machine-Learning Pipeline for Classification of Extragalactic X-ray Sources. I. Pipeline Description
• A Gradient Boosted Mixed-Model Machine Learning Framework for Vessel Speed in the U.S. Arctic
• Enhancing Forecasting with a 2D Time Series Approach for Cohort-Based Data
• Towards understanding the nature of direct functional connectivity in visual brain network
• Predictive Machine Learning of Objective Boundaries for Solving COPs
• A gradient boosting and broadband approach to finding Lyman-α emitting galaxies beyond narrowband surveys
• Guardrailed Elasticity Pricing: A Churn-Aware Forecasting Playbook for Subscription Strategy
• Multi-Partner Project: COIN-3D -- Collaborative Innovation in 3D VLSI Reliability
• Revisiting the exoplanet radius valley with host stars from SWEET-Cat
• "A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations
• An AI Implementation Science Study to Improve Trustworthy Data in a Large Healthcare System
• Deep-learning jet flavor tagging for precision hadronic Higgs measurements at future $e^{+}{e}^{-}$ Higgs factories
• Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach
• Measurement of the solar neutrino interaction rate below 3.49 MeV in Super-Kamiokande-IV
• The Milky Way's Early Disk Was Built in Bursts. I. Evidence from Low-angular-momentum, High-$\alpha$ Stars Scattered Out of the Protodisk by Merger Events
• Induction of Non-monotonic Logic Programs To Explain Statistical Learning Models
• Multivariate Uncertainty Quantification with Tomographic Quantile Forests
• DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection
• Interaction as Interference: A Quantum-Inspired Aggregation Approach
• Robust Spectral Watermark for Synthetic Tabular Data
• Minimising Event Size, Maximising Physics: Inclusive Particle Isolation for LHCb's Run 3
• How Many Pages? Paper Length Prediction from the Metadata
• Quantifying USA tariffs effect: machine learning, entropy and fractal insights into the stock markets
• Representing Higher-Order Networks with Spectral Moments
• Nonlocality Effect in the Tunneling of Alpha Radioactivity with the Aid of Machine Learning
• ActiveNet: A computer-vision based approach to determine lethargy
• Predicting E-commerce Purchase Behavior using a DQN-Inspired Deep Learning Model for enhanced adaptability
• Imaging-Based Mortality Prediction in Patients with Systemic Sclerosis
• NationalMood: Large-scale Estimation of People's Mood from Web Search Query and Mobile Sensor Data
• DemandLens: Enhancing Forecast Accuracy Through Product-Specific Hyperparameter Optimization
• epiGPTope: A machine learning-based epitope generator and classifier
• A Hormetic Approach to the Value-Loading Problem: Preventing the Paperclip Apocalypse?
• Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using an Explainable Lightweight 1D CNN-XGBoost Ensemble
• Cognitive and non-cognitive efficiency gaps between private and public schools in the Latin America region-a hybrid DEA and machine learning approach based on PISA 2022
• Measurements of ttW differential cross sections and the leptonic charge asymmetry at $\sqrt{s}$ = 13 TeV
• Rehabilitating Homeless: Dataset and Key Insights
• A step towards the integration of machine learning and classic model-based survey methods
• Optimizing High Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server
• Prospects of searches for invisible $B$-meson decays at FCC-ee
• Virtual Sensing for Solder Layer Degradation and Temperature Monitoring in IGBT Modules
• Inclusive $B$-meson flavour-tagging algorithm at LHCb
• WorkR: Occupation Inference for Intelligent Task Assistance
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• Emulating redshift mixing due to blending in weak gravitational lensing
• Search for squarks and gluinos in $pp$ collisions at $\sqrt{s}=13$ TeV and $13.6$ TeV in events with $\tau$-leptons, jets and missing transverse momentum using the ATLAS detector
• A weighted quantum ensemble of homogeneous quantum classifiers
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• A Study into patient similarity through representation learning from medical records
• Signal Processing in the Retina: Interpretable Graph Classifier to Predict Ganglion Cell Responses
• Delete My Account: Impact of Data Deletion on Machine Learning Classifiers
• Applications of Machine Learning to Optimizing Polyolefin Manufacturing
• A Method for Discovering Novel Classes in Tabular Data
• Interpolation of mountain weather forecasts by machine learning
• A Machine learning and Empirical Bayesian Approach for Predictive Buying in B2B E-commerce
• Machine Learning-assisted High-speed Combinatorial Optimization with Ising Machines for Dynamically Changing Problems
• Q-Cluster: Quantum Error Mitigation Through Noise-Aware Unsupervised Learning
• Multiple Learning for Regression in big data
• A Text-based Approach For Link Prediction on Wikipedia Articles
• Scared into Action: How Partisanship and Fear are Associated with Reactions to Public Health Directives
• Neural Network Driven, Interactive Design for Nonlinear Optical Molecules Based on Group Contribution Method
• Linearly-scalable learning of smooth low-dimensional patterns with permutation-aided entropic dimension reduction
• Random Forests applied to High Precision Photometry Analysis with Spitzer IRAC
• Machine-Learned Dark Matter Subhalo Candidates in the 4FGL-DR2: Search for the Perturber of the GD-1 Stream
• Unfair Utilities and First Steps Towards Improving Them
• Potential and limitations of machine-learning approaches to inclusive $|V_{ub}|$ determinations
• Characterizing the hadronization of parton showers using the HOMER method
• Machine Learning a Phosphor's Excitation Band Position
• Recovering Business Rules as Cascade Lookups for Enterprise Field Prediction
• IMMIGRATE: A Margin-based Feature Selection Method with Interaction Terms
• High-dimensional point forecast combinations for emergency department demand
• Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions
• Probability Distribution on Full Rooted Trees
• Smart Journey in Istanbul: A Mobile Application in Smart Cities for Traffic Estimation by Harnessing Time Series
• How to use Machine Learning to improve the discrimination between signal and background at particle colliders
• Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces
• Tagging ultra-boosted jets at FCC-hh using machine learning techniques
• About the Influence of Workflow Topology on Task Intensity Prediction through Graph Learning
• The Impossibility of Parallelizing Boosting
• An Empirical Analysis of Federated Learning Models Subject to Label-Flipping Adversarial Attack
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• M6: Multi-generator, Multi-domain, Multi-lingual and cultural, Multi-genres, Multi-instrument Machine-Generated Music Detection Databases
• A Combined Channel Approach for Decoding Intracranial EEG Signals: Enhancing Accuracy through Spatial Information Integration
• Searching for exotic Higgs bosons from top quark decays at the HL-LHC
• Searching for a signature of turnaround in galaxy clusters with convolutional neural networks
• GalSBI: Phenomenological galaxy population model for cosmology using simulation-based inference
• AutoEnRichness: A hybrid empirical and analytical approach for estimating the richness of galaxy clusters
• Machine Learning Electroweakino Production
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• Sparse tree-based initialization for neural networks
• Simultaneous Matrix Diagonalization for Structural Brain Networks Classification
• First measurement of ${\mathrm{D}}_{s1}(1^{+})(2536{)}^{+}$ and ${\mathrm{D}}_{s2}^{\ast }(2^{+})(2573{)}^{+}$ production in proton-proton collisions at $\sqrt{s}=13$ TeV at the LHC
• Indoor Sensing with Measurements
• Search for $B_{(s)}^{\ast 0}\to {\mu }^{+}{\mu }^{-}$ in $B_c^{+}\to {\pi }^{+}{\mu }^{+}{\mu }^{-}$ decays
• Detecting Interpretable Subgroup Drifts
• Supervised segmentation of NO2 plumes from individual ships using TROPOMI satellite data
• Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Survey of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems
• VarWISE: Infrared Variability via NEOWISE Single Exposure Photometry
• Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift
• Machine Learning-Based Cluster Classification to Suppress Background in a Prototype RPC Detector
• Feature extraction for plant growth estimation
• WiFi-Based People Counting Using Beam-Steerable Antennas: A Test-bed Study
• Neural Additive and Basis Models with Feature Selection and Interactions
• A Hierarchical Ensemble Pipeline for Anomaly Detection in ESA Satellite Telemetry
• Enhance the performance of navigation: A two-stage machine learning approach
• Comprehensive Evaluation of Machine Learning for Type 2 Diabetes Risk Prediction: Large-Scale External Validation and Fairness Analysis
• Constructing Per-Shot Bitrate Ladders using Visual Information Fidelity
• SpectraSensML Software: Mastering Complete Spectral Information for Luminescence Thermometry 2.0
• The Nah Bandit: Modeling User Non-compliance in Recommendation Systems
• MultiHuSE: A Multimodal Dataset for Humour Styles and Emotions
• Advanced Techniques in Stability Analysis of Trans-Neptunian Objects
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• DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes
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• Real-Time Driver Safety Scoring Through Inverse Crash Probability Modeling
• A model-based restricted shapley value to measure the players' contribution to shot actions in football
• Leveraging Remote Traffic Data for Local Air Pollutant Estimation: A Scenario-Based Machine Learning Study Across London Monitoring Sites
• Multispectral Household Plastic Classification for Recycling Using a Camera Array
• Estimating the completeness of the QUBRICS Survey with 3501 QSO redshifts from Gaia DR3 spectra
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• Interpretable liquid crystal phase classification via two-by-two ordinal patterns
• Star-Galaxy Classification in Deep LSST Data with Random Forest: A Pilot study on the Data Preview 1 Release
• Estimating the peak energy of Swift gamma-ray bursts using supervised machine learning
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