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.

KDD'16 changed all figures to type1

Cited by in corpus (1367)

• A Comparative Analysis of XGBoost
• DeepDTA: Deep Drug-Target Binding Affinity Prediction
• Over the Air Deep Learning Based Radio Signal Classification
• A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
• A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities
• Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital
• Deep Neural Networks and Tabular Data: A Survey
• Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach
• Data-driven materials science: status, challenges and perspectives
• A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
• Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
• Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach
• Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt
• Customer churn prediction in telecom using machine learning and social network analysis in big data platform
• Machine Learning Based Intrusion Detection Systems for IoT Applications
• Machine learning for electronically excited states of molecules
• The choice of scaling technique matters for classification performance
• The Zwicky Transient Facility: Surveys and Scheduler
• Observation of Higgs boson production in association with a top quark pair at the LHC with the ATLAS detector
• Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
• A Semi-supervised Graph Attentive Network for Financial Fraud Detection
• Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data
• Fast Parallel Hypertree Decompositions in Logarithmic Recursion Depth
• Observation of high-energy neutrinos from the Galactic plane
• Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey
• Quantum computing for finance
• Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC
• Soil Property and Class Maps of the Conterminous US at 100 meter Spatial Resolution based on a Compilation of National Soil Point Observations and Machine Learning
• Transformer-CNN: Fast and Reliable tool for QSAR
• A critical examination of compound stability predictions from machine-learned formation energies
• Kaggle forecasting competitions: An overlooked learning opportunity
• Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran
• Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
• Machine Learning in Nuclear Physics
• Local Differential Privacy for Deep Learning
• Actions Speak Louder Than Goals: Valuing Player Actions in Soccer
• Anticipating cryptocurrency prices using machine learning
• A Survey of Privacy Attacks in Machine Learning
• Intelligent Traffic Monitoring Systems for Vehicle Classification: A Survey
• Artificial Intelligence for Drug Discovery: Are We There Yet?
• Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications
• CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models
• Fairness in Credit Scoring: Assessment, Implementation and Profit Implications
• Privacy Preserving Vertical Federated Learning for Tree-based Models
• An Interpretable Probabilistic Model for Short-Term Solar Power Forecasting Using Natural Gradient Boosting
• COVID-19 diagnosis by routine blood tests using machine learning
• Database of 2D hybrid perovskite materials: open-access collection of crystal structures, band gaps and atomic partial charges predicted by machine learning
• EnergyStar++: Towards more accurate and explanatory building energy benchmarking
• Winter wheat yield prediction using convolutional neural networks from environmental and phenological data
• Milky Way Satellite Census. I. The Observational Selection Function for Milky Way Satellites in DES Y3 and Pan-STARRS DR1
• A Dependable Hybrid Machine Learning Model for Network Intrusion Detection
• Quantum annealing versus classical machine learning applied to a simplified computational biology problem
• Adversarial attacks and defenses in explainable artificial intelligence: A survey
• Machine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB${}_2$ Near Hydrogen Liquefaction Temperature
• Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches
• A review of predictive uncertainty estimation with machine learning
• Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods
• Sharp Multiple Instance Learning for DeepFake Video Detection
• DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection
• StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
• Evidence for the associated production of the Higgs boson and a top quark pair with the ATLAS detector
• A search for the dimuon decay of the Standard Model Higgs boson with the ATLAS detector
• Super ensemble learning for daily streamflow forecasting: Large-scale demonstration and comparison with multiple machine learning algorithms
• The Hardness of Conditional Independence Testing and the Generalised Covariance Measure
• Differentially Private Synthetic Medical Data Generation using Convolutional GANs
• Where are we now? A large benchmark study of recent symbolic regression methods
• Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction
• A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets
• Click-Through Rate Prediction in Online Advertising: A Literature Review
• I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems
• Machine Learning for the Zwicky Transient Facility
• A critical examination of robustness and generalizability of machine learning prediction of materials properties
• Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization
• Alert Classification for the ALeRCE Broker System: The Light Curve Classifier
• Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial
• Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future
• Deep Learning: A Bayesian Perspective
• Improving Model-based Genetic Programming for Symbolic Regression of Small Expressions
• Global Impact of COVID-19 Restrictions on the Atmospheric Concentrations of Nitrogen Dioxide and Ozone
• Operational Research: Methods and Applications
• Encoding high-cardinality string categorical variables
• Visual Search at eBay
• Active Learning for Wireless IoT Intrusion Detection
• Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review
• RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions
• Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: a case study of Hurricane Harvey
• Gaia Data Release 3: All-sky classification of 12.4 million variable sources into 25 classes
• Satellite Image Time Series Analysis for Big Earth Observation Data
• Exploring the Role of Visual Content in Fake News Detection
• On the redundancy in large material datasets: efficient and robust learning with less data
• BaitWatcher: A lightweight web interface for the detection of incongruent news headlines
• Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records
• A Hybrid Ensemble method for Pulsar Candidate Classification
• Discover Your Social Identity from What You Tweet: a Content Based Approach
• A Survey on Data-driven Software Vulnerability Assessment and Prioritization
• TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types
• MechProNet: Machine Learning Prediction of Mechanical Properties in Metal Additive Manufacturing
• XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
• Predicting the long-term stability of compact multiplanet systems
• Declarative Experimentation in Information Retrieval using PyTerrier
• The ASHRAE Great Energy Predictor III competition: Overview and results
• Estimating Fault Friction from Seismic Signals in the Laboratory
• Towards Demystifying Serverless Machine Learning Training
• Data-driven discovery of dimensionless numbers and scaling laws from experimental measurements
• RF-Based Human Activity Recognition Using Signal Adapted Convolutional Neural Network
• Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures
• Improving Emergency Department ESI Acuity Assignment Using Machine Learning and Clinical Natural Language Processing
• Significant core shift variability in parsec-scale jets of active galactic nuclei
• XFake: Explainable Fake News Detector with Visualizations
• Diffuse Supernova Neutrino Background Search at Super-Kamiokande
• Are We Ready For Learned Cardinality Estimation?
• Modeling Engagement in Long-Term, In-Home Socially Assistive Robot Interventions for Children with Autism Spectrum Disorders
• The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts
• Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree
• Facilitated machine learning for image-based fruit quality assessment
• Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search
• The Science of the Einstein Telescope
• Nonlinear optical encoding enabled by recurrent linear scattering
• The Full Event Interpretation -- An exclusive tagging algorithm for the Belle II experiment
• Measurements of Higgs boson production cross sections and couplings in the diphoton decay channel at $\sqrt{s}=$ 13 TeV
• Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination
• Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics
• Boosting algorithms in energy research: A systematic review
• Using AI to Measure Parkinson's Disease Severity at Home
• Forecasting with time series imaging
• It's All in the Embedding! Fake News Detection Using Document Embeddings
• Application of Quantum Machine Learning using the Quantum Variational Classifier Method to High Energy Physics Analysis at the LHC on IBM Quantum Computer Simulator and Hardware with 10 qubits
• xFuzz: Machine Learning Guided Cross-Contract Fuzzing
• Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification
• Measurement of the Higgs boson production rate in association with top quarks in final states with electrons, muons, and hadronically decaying tau leptons at $\sqrt{s}=$ 13 TeV
• EarGate: Gait-based User Identification with In-ear Microphones
• Representing individual electronic states for machine learning GW band structures of 2D materials
• MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network
• Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)
• Differentiate ChatGPT-generated and Human-written Medical Texts
• Machine-learning rationalization and prediction of solid-state synthesis conditions
• Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning
• Vaex: Big Data exploration in the era of Gaia
• Fast inference of Boosted Decision Trees in FPGAs for particle physics
• Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study
• A novel DOI Positioning Algorithm for Monolithic Scintillator Crystals in PET based on Gradient Tree Boosting
• Applications and Techniques for Fast Machine Learning in Science
• Solar wind prediction using deep learning
• Real-time observation of ligand-induced allosteric transitions in a PDZ domain
• On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
• Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
• Search for nonresonant Higgs boson pair production in final states with two bottom quarks and two photons in proton-proton collisions at $\sqrt{s}=$ 13 TeV
• Machine learning prediction of magnetic properties of Fe-based metallic glasses considering local structures
• Stellar Initial Mass Function Varies with Metallicities and Time
• Reconstructing commuters network using machine learning and urban indicators
• A Machine Learns to Predict the Stability of Tightly Packed Planetary Systems
• Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
• Automated Classification of Overfitting Patches with Statically Extracted Code Features
• Scalable and Accurate Test Case Prioritization in Continuous Integration Contexts
• Interleaved Sequence RNNs for Fraud Detection
• Efficacy of MRI data harmonization in the age of machine learning. A multicenter study across 36 datasets
• SEntFiN 1.0: Entity-Aware Sentiment Analysis for Financial News
• Data-driven Discovery of 3D and 2D Thermoelectric Materials
• A Survey of DeFi Security: Challenges and Opportunities
• Machine learning driven synthesis of few-layered WTe2
• Relationships between distortions of inorganic framework and band gap of layered hybrid halide perovskites
• Measurements of production cross sections of the Higgs boson in the four-lepton final state in proton-proton collisions at $\sqrt{s}=$ 13 TeV
• Towards Robust Voice Pathology Detection
• Short-term forecasting of solar irradiance without local telemetry: a generalized model using satellite data
• Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders
• Using Big Data to Enhance the Bosch Production Line Performance: A Kaggle Challenge
• Spectroscopic age estimates for APOGEE red-giant stars: Precise spatial and kinematic trends with age in the Galactic disc
• A clarification of misconceptions, myths and desired status of artificial intelligence
• Accurate Virus Identification with Interpretable Raman Signatures by Machine Learning
• Characterization of the Astrophysical Diffuse Neutrino Flux using Starting Track Events in IceCube
• Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
• Counterfactual Shapley Additive Explanations
• MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge
• NOMAD 2018 Kaggle Competition: Solving Materials Science Challenges Through Crowd Sourcing
• Resonant Di-Higgs Production at Gravitational Wave Benchmarks: A Collider Study using Machine Learning
• Angle of Arrival and Centimeter Distance Estimation on a Smart UWB Sensor Node
• Machine Learning-based Prediction of Porosity for Concrete Containing Supplementary Cementitious Materials
• Probing out-of-distribution generalization in machine learning for materials
• XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification
• Measurement of beauty and charm production in pp collisions at $\sqrt{s}=5.02$ TeV via non-prompt and prompt D mesons
• $k$-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers
• First study of the two-body scattering involving charm hadrons
• An Integrative Paradigm for Enhanced Stroke Prediction: Synergizing XGBoost and xDeepFM Algorithms
• On the consistency of supervised learning with missing values
• Stratified cross-validation for unbiased and privacy-preserving federated learning
• Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?
• Least Squares Approximation for a Distributed System
• Augmenting Interpretable Models with LLMs during Training
• Modified Genetic Algorithm for Feature Selection and Hyper Parameter Optimization: Case of XGBoost in Spam Prediction
• Ensemble Machine Learning Model Trained on a New Synthesized Dataset Generalizes Well for Stress Prediction Using Wearable Devices
• Zero Shot Health Trajectory Prediction Using Transformer
• EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction
• A Greedy Search Tree Heuristic for Symbolic Regression
• Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency
• Temporal Stability in Predictive Process Monitoring
• Expanding the Y Dwarf Census with Spitzer Follow-up of the Coldest CatWISE Solar Neighborhood Discoveries
• Deep Choice Model Using Pointer Networks for Airline Itinerary Prediction
• TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
• A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection
• A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks
• Software and computing for Run 3 of the ATLAS experiment at the LHC
• Searches for lepton-flavour-violating decays of the Higgs boson in $\sqrt{s}=13$ TeV $pp$ collisions with the ATLAS detector
• Towards a data-driven characterization of behavioral changes induced by the seasonal flu
• Triaging Content Severity in Online Mental Health Forums
• Imputation of missing sub-hourly precipitation data in a large sensor network: a machine learning approach
• The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape
• An Optimal House Price Prediction Algorithm: XGBoost
• Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring
• Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation
• FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning
• HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization
• A Semi-Monolithic Detector providing intrinsic DOI-encoding and sub-200 ps CRT TOF-Capabilities for Clinical PET Applications
• Large-Scale Secure XGB for Vertical Federated Learning
• Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling
• Search for astrophysical electron antineutrinos in Super-Kamiokande with 0.01wt% gadolinium-loaded water
• An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization
• Review of Machine Learning Methods for Additive Manufacturing of Functionally Graded Materials
• ENTMOOT: A Framework for Optimization over Ensemble Tree Models
• Individualized Prediction of COVID-19 Adverse outcomes with MLHO
• Convolutional Neural Networks for Multispectral Image Cloud Masking
• Understanding the mesoscopic scaling patterns within cities
• Search for heavy neutral leptons decaying into muon-pion pairs in the MicroBooNE detector
• Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano
• Search for a Higgs portal scalar decaying to electron-positron pairs in the MicroBooNE detector
• Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing
• End-to-end Optimization of Machine Learning Prediction Queries
• Deep Learning of High-Order Interactions for Protein Interface Prediction
• A Machine Learning Analysis of COVID-19 Mental Health Data
• Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition
• Complex Network based Supervised Keyword Extractor
• Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries
• Vertex and Energy Reconstruction in JUNO with Machine Learning Methods
• Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification
• A decision integration strategy for short-term demand forecasting and ordering for red blood cell components
• Stacking fault energy prediction for austenitic steels: thermodynamic modeling vs. machine learning
• Search for new phenomena in final states with $b$-jets and missing transverse momentum in $\sqrt{s}=13$ TeV $pp$ collisions with the ATLAS detector
• Analysis of the CP structure of the Yukawa coupling between the Higgs boson and $\tau$ leptons in proton-proton collisions at $\sqrt{s}=$ 13 TeV
• Automated Software Vulnerability Assessment with Concept Drift
• Causality-based CTR Prediction using Graph Neural Networks
• Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities
• Observation of a multiplicity dependence in the $p_{\mathrm{T}}$-differential charm baryon-to-meson ratios in proton-proton collisions at $\sqrt{s}=13$ TeV
• Database, Features, and Machine Learning Model to Identify Thermally Driven Metal-Insulator Transition Compounds
• Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference
• Gradient Boosting Survival Tree with Applications in Credit Scoring
• Search for an anomalous excess of charged-current quasi-elastic ${\nu }_e$ interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction
• Automatically Evaluating Balance: A Machine Learning Approach
• Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning
• Boosting API Recommendation with Implicit Feedback
• Multimodal Deep Learning Framework for Image Popularity Prediction on Social Media
• Precision Machine Learning
• Improving Cyberbully Detection with User Interaction
• Improving Classifier Training Efficiency for Automatic Cyberbullying Detection with Feature Density
• First Measurement of Energy-Dependent Inclusive Muon Neutrino Charged-Current Cross Sections on Argon with the MicroBooNE Detector
• Dynamic GPU Energy Optimization for Machine Learning Training Workloads
• Machine Learning Benchmarks for the Classification of Equivalent Circuit Models from Electrochemical Impedance Spectra
• Retention Is All You Need
• Gaia Data Release 3 Validating the classification of variable Young Stellar Object candidates
• Predicting customer's gender and age depending on mobile phone data
• A Data-Driven Travel Mode Share Estimation Framework based on Mobile Device Location Data
• Self-supervised transfer learning of physiological representations from free-living wearable data
• A hybrid-model approach for reducing the performance gap in building energy forecasting
• Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant
• Machine learning classification of CHIME fast radio bursts -- I. Supervised methods
• Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression
• Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction
• Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging
• FederBoost: Private Federated Learning for GBDT
• Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks
• Measurement of the lifetime and $\Lambda$ separation energy of ${}_{\Lambda }^3\mathrm{H}$
• Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference
• ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities
• Machine Learning Reveals the State of Intermittent Frictional Dynamics in a Sheared Granular Fault
• Search for pair production of scalar leptoquarks decaying into first- or second-generation leptons and top quarks in proton-proton collisions at $\sqrt{s}$ = 13 TeV with the ATLAS detector
• Explainable AI Integrated Feature Selection for Landslide Susceptibility Mapping using TreeSHAP
• A Convolutional Neural Network Approach to the Classification of Engineering Models
• On Explaining Machine Learning Models by Evolving Crucial and Compact Features
• The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical Notes
• High-Resolution Road Vehicle Collision Prediction for the City of Montreal
• Country Image in COVID-19 Pandemic: A Case Study of China
• Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival Data
• MUSE spectroscopy of planetary nebulae with high abundance discrepancies
• Synthetic Evolution Tracks of Giant Planets
• Deep Job Understanding at LinkedIn
• A universal model for the formation energy prediction of inorganic compounds
• The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
• Combining Multiple Algorithms in Classifier Ensembles using Generalized Mixture Functions
• Partially Blind Handovers for mmWave New Radio Aided by Sub-6 GHz LTE Signaling
• Explainable expected goal models for performance analysis in football analytics
• Data mining techniques on astronomical spectra data. II : Classification Analysis
• Boosted decision trees in the era of new physics: a smuon analysis case study
• Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification
• Improving multilevel regression and poststratification with structured priors
• Modeling Personality vs. Modeling Personalidad: In-the-wild Mobile Data Analysis in Five Countries Suggests Cultural Impact on Personality Models
• A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting
• Boosting the performance of anomalous diffusion classifiers with the proper choice of features
• Test of lepton flavor universality in B${}^{\pm }$ $\to$ K${}^{\pm }{\mu }^{+}{\mu }^{-}$ and B${}^{\pm }$ $\to$ K${}^{\pm }$e${}^{+}$e${}^{-}$ decays in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• Predicting time to graduation at a large enrollment American university
• An Experimental Evaluation of Large Scale GBDT Systems
• Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission
• Search for dark matter in events with missing transverse momentum and a Higgs boson decaying into two photons in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
• CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding
• Machine learning for total cloud cover prediction
• Airbnb Price Prediction Using Machine Learning and Sentiment Analysis
• Generation & Evaluation of Adversarial Examples for Malware Obfuscation
• A Multi-Phase Approach for Product Hierarchy Forecasting in Supply Chain Management: Application to MonarchFx Inc
• What Image Features Boost Housing Market Predictions?
• Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework
• ABC-CDE: Towards Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations
• MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting
• Network On Network for Tabular Data Classification in Real-world Applications
• Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations
• Federated Boosted Decision Trees with Differential Privacy
• Precise determination of the B0s-B0sbar oscillation frequency
• The ZTF Source Classification Project: I. Methods and Infrastructure
• {\sc mirkwood:} Fast and Accurate SED Modeling Using Machine Learning
• Sequential Training of Neural Networks with Gradient Boosting
• Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques
• TurkScanner: Predicting the Hourly Wage of Microtasks
• Causal mediation analysis for stochastic interventions
• Interpretable machine learning in Physics
• An AI-driven intelligent traffic management model for 6G cloud radio access networks
• Measurements of Partial Branching Fractions of Inclusive $B\to X_u{\ell }^{+}{\nu }_{\ell }$ Decays with Hadronic Tagging
• Machine Learning-Driven Process of Alumina Ceramics Laser Machining
• A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction
• Real-time data-driven detection of the rock type alteration during a directional drilling
• CatGCN: Graph Convolutional Networks with Categorical Node Features
• Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps
• Learning to Concentrate: Multi-tracer Forecasts on Local Primordial Non-Gaussianity with Machine-Learned Bias
• Is deep learning necessary for simple classification tasks?
• Ten Social Dimensions of Conversations and Relationships
• HL-Pow: A Learning-Based Power Modeling Framework for High-Level Synthesis
• Optimization of model independent gravitational wave search using machine learning
• Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie
• Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting
• CWISEP J193518.59$-$154620.3: An Extremely Cold Brown Dwarf in the Solar Neighborhood Discovered with CatWISE
• Interpreted machine learning in fluid dynamics: Explaining relaminarisation events in wall-bounded shear flows
• Evaluation of soccer team defense based on prediction models of ball recovery and being attacked: A pilot study
• Application of artificial intelligence in the determination of impact parameter in heavy-ion collisions at intermediate energies
• Multistep traffic speed prediction: A deep learning based approach using latent space mapping considering spatio-temporal dependencies
• "This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders
• PPFS: Predictive Permutation Feature Selection
• FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
• Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems
• A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine Learning Approach
• Interpretable AI-based Large-scale 3D Pathloss Prediction Model for enabling Emerging Self-Driving Networks
• TESS Data for Asteroseismology (T'DA) Stellar Variability Classification Pipeline: Set-Up and Application to the Kepler Q9 Data
• Machine Learning based System for Vessel Turnaround Time Prediction
• Power System Anomaly Detection and Classification Utilizing WLS-EKF State Estimation and Machine Learning
• Explainable Equivariant Neural Networks for Particle Physics: PELICAN
• The period--luminosity relation for Mira variables in the Milky Way using Gaia DR3: a further distance anchor for $H_0$
• Condensed Gradient Boosting
• Automating Distributed Tiered Storage Management in Cluster Computing
• Merging satellite and gauge-measured precipitation using LightGBM with an emphasis on extreme quantiles
• Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts
• Text normalization using memory augmented neural networks
• Predicting IPv4 Services Across All Ports
• BABD: A Bitcoin Address Behavior Dataset for Pattern Analysis
• Improved limit on the branching fraction of the rare decay $K_S^0\to {\mu }^{+}{\mu }^{-}$
• Barrier height prediction by machine learning correction of semiempirical calculations
• Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data
• On the Effect of Selfie Beautification Filters on Face Detection and Recognition
• 3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data
• Quantum Gaussian Process Regression for Bayesian Optimization
• Automated classification for open-ended questions with BERT
• Semi-supervised Body Parsing and Pose Estimation for Enhancing Infant General Movement Assessment
• Using gradient boosting regression to improve ambient solar wind model predictions
• Training large margin host-pathogen protein-protein interaction predictors
• Constraints on the $K_{\mathrm{S}}^0\to {\mu }^{+}{\mu }^{-}$ branching fraction
• Predicting the future success of scientific publications through social network and semantic analysis
• Machine Learning applied to asteroid dynamics
• Multi-channel CNN to classify nepali covid-19 related tweets using hybrid features
• Machine learning for ultra high throughput screening of organic solar cells: Solving the needle in the hay stack problem
• Understanding Electricity-Theft Behavior via Multi-Source Data
• Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation
• Practical Vertical Federated Learning with Unsupervised Representation Learning
• A Data Science Approach to Understanding Residential Water Contamination in Flint
• AuthCODE: A Privacy-preserving and Multi-device Continuous Authentication Architecture based on Machine and Deep Learning
• LeakyPick: IoT Audio Spy Detector
• System Design for a Data-driven and Explainable Customer Sentiment Monitor
• Machine Learning and Data-Driven Methods in Computational Surface and Interface Science
• Towards machine learning aided real-time range imaging in proton therapy
• Artificial Intelligence-Based Analytics for Impacts of COVID-19 and Online Learning on College Students' Mental Health
• "That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks
• Machine Learning Workflow to Explain Black-box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets
• Machine Learning in High Energy Physics: A review of heavy-flavor jet tagging at the LHC
• Skill-driven Recommendations for Job Transition Pathways
• Observation of $WWW$ Production in $pp$ Collisions at $\sqrt{s}=13$ TeV with the ATLAS Detector
• Evolving Context-Aware Recommender Systems With Users in Mind
• A method to challenge symmetries in data with self-supervised learning
• Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale
• Learning Security Classifiers with Verified Global Robustness Properties
• Search for nonresonant Higgs boson pair production in the $\mathrm{b}\overline{\mathrm{b}}\mathrm{b}\overline{\mathrm{b}}$ final state at $\sqrt{s}=$ 13 TeV
• Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints
• Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy trials
• ATM Cash demand forecasting in an Indian Bank with chaos and deep learning
• Automatic Creativity Measurement in Scratch Programs Across Modalities
• Deep Learning Predictive Band Switching in Wireless Networks
• VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization
• Visual analytics for networked-guarantee loans risk management
• Enriching the physics program of the CMS experiment via data scouting and data parking
• Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
• Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates
• Hunting for C-rich long-period variable stars in the Milky Way's bar-bulge using unsupervised classification of Gaia BP/RP spectra
• Calculating LRs for presence of body fluids from mRNA assay data in mixtures
• 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
• Feature Selection with Annealing for Forecasting Financial Time Series
• Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning
• Machine Learning methods to estimate observational properties of galaxy clusters in large volume cosmological N-body simulations
• ToPs: Ensemble Learning with Trees of Predictors
• Voting with Random Classifiers (VORACE): Theoretical and Experimental Analysis
• Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble
• ChemBoost: A chemical language based approach for protein-ligand binding affinity prediction
• Variable star classification across the Galactic bulge and disc with the VISTA Variables in the Vía Láctea survey
• Charm production and fragmentation fractions at midrapidity in pp collisions at $\sqrt{s}=13$ TeV
• MetroGAN: Simulating Urban Morphology with Generative Adversarial Network
• ROSpace: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System
• Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction
• 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
• Hierarchical forecasting with a top-down alignment of independent level forecasts
• Efficient Neural Query Auto Completion
• Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations
• Predicting Swarm Equatorial Plasma Bubbles via Machine Learning and Shapley Values
• NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing
• Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks
• 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
• Classical and quantum regression analysis for the optoelectronic performance of NTCDA/p-Si UV photodiode
• Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
• 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
• Multimodal Metadata Assignment for Cultural Heritage Artifacts
• Misogynistic Tweet Detection: Modelling CNN with Small Datasets
• A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data
• EB-NeRD: A Large-Scale Dataset for News Recommendation
• An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic
• Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph
• SkyMapper Optical Follow-up of Gravitational Wave Triggers: Alert Science Data Pipeline and LIGO/Virgo O3 Run
• Reproducibility in Computational Materials Science: Lessons from 'A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials'
• Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting
• Beyond network centrality: Individual-level behavioral traits for predicting information superspreaders in social media
• Euclid preparation: XXII. Selection of Quiescent Galaxies from Mock Photometry using Machine Learning
• Search for binary black hole mergers in the third observing run of Advanced LIGO-Virgo using coherent WaveBurst enhanced with machine learning
• Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration
• Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data
• Solar Flares Forecasting Using Time Series and Extreme Gradient Boosting Ensembles
• Identifying supportive student factors for mindset interventions: A two-model machine learning approach
• Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation
• On the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI
• Learning Interpretable Rules for Scalable Data Representation and Classification
• Pulsars Detection by Machine Learning with Very Few Features
• Quantum adiabatic machine learning with zooming
• Applications of machine learning in gravitational wave research with current interferometric detectors
• On the Risks of Collecting Multidimensional Data Under Local Differential Privacy
• Travel Time Prediction using Tree-Based Ensembles
• Multi-modal Heart Failure Risk Estimation based on Short ECG and Sampled Long-Term HRV
• Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data
• 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
• Finding Black Holes with Black Boxes -- Using Machine Learning to Identify Globular Clusters with Black Hole Subsystems
• ActiveRemediation: The Search for Lead Pipes in Flint, Michigan
• 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
• 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
• Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints
• ChatGPT Code Detection: Techniques for Uncovering the Source of Code
• Can a composite heart rate variability biomarker shed new insights about autism spectrum disorder in school-aged children?
• Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence
• Comparing Machine Learning and Interpolation Methods for Loop-Level Calculations
• Formal Verification of Decision-Tree Ensemble Model and Detection of its Violating-input-value Ranges
• Tabular Machine Learning Methods for Predicting Gas Turbine Emissions
• Low Energy Event Reconstruction in IceCube DeepCore
• Investigating Cosmological GAN Emulators Using Latent Space Interpolation
• Machine Learning-Based COVID-19 Patients Triage Algorithm using Patient-Generated Health Data from Nationwide Multicenter Database
• Forecasting CPI inflation under economic policy and geopolitical uncertainties
• Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression
• Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websites
• A Multi-task Learning Framework for Product Ranking with BERT
• Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection
• Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach
• NicePIM: Design Space Exploration for Processing-In-Memory DNN Accelerators with 3D-Stacked-DRAM
• Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting
• Translocatome: a novel resource for the analysis of protein translocation between cellular organelles
• Search for $CP$ violation in ${\Xi }_b^{-}\to p{K}^{-}{K}^{-}$ decays
• What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings
• LHC signals of a heavy doublet Higgs as dark matter portal: cut-based approach and improvement with gradient boosting and neural networks
• Diffusion Models for Tabular Data Imputation and Synthetic Data Generation
• Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG
• Kubernetes Autoscaling: YoYo Attack Vulnerability and Mitigation
• Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis
• Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features
• Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science
• Inorganic synthesis-structure maps in zeolites with machine learning and crystallographic distances
• Machine learning for predicting thermal power consumption of the Mars Express Spacecraft
• Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection
• Machine learning applied to simulations of collisions between rotating, differentiated planets
• Adaptive surrogate modeling for high-dimensional spatio-temporal output
• Analytic Continued Fractions for Regression: A Memetic Algorithm Approach
• A Data-Fusion-Assisted Telemetry Layer for Autonomous Optical Networks
• Improved infrared photometry and a preliminary parallax measurement for the extremely cold brown dwarf CWISEP J144606.62$-$231717.8
• A Composite Likelihood Approach for Inference under Photometric Redshift Uncertainty
• A General Machine Learning Framework for Survival Analysis
• Every Colour You Are: Stance Prediction and Turnaround in Controversial Issues
• Hollow-tree Super: a directional and scalable approach for feature importance in boosted tree models
• Classifying Stars, Galaxies and AGN in CLAUDS+HSC-SSP Using Gradient Boosted Decision Trees
• Exploring deterministic frequency deviations with explainable AI
• Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and Behavioral Malware Representations
• Modeling the sea-surface $p$CO${}_2$ of the central Bay of Bengal region using machine learning algorithms
• GAM Coach: Towards Interactive and User-centered Algorithmic Recourse
• KLLR: A scale-dependent, multivariate model class for regression analysis
• Prospects for $B_c^{+}$ and $B^{+}\to {\tau }^{+}{\nu }_{\tau }$ at FCC-ee
• Search for the lepton flavor violating decay $\tau$ $\to$ 3$\mu$ in proton-proton collisions at $\sqrt{s}=$ 13 TeV
• Predicting User Emotional Tone in Mental Disorder Online Communities
• ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational Humor
• Stability Constrained Characterization of Multiplanet Systems
• A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy
• Computational Reverse Engineering Analysis of Scattering Experiments Method for Interpretation of 2D Small-Angle Scattering Profiles (CREASE-2D)
• End-to-End Intelligent Framework for Rockfall Detection
• Whodunit: Classifying Code as Human Authored or GPT-4 Generated -- A case study on CodeChef problems
• Parametrization of Non-Bonded Force Field Terms for Metal-Organic Frameworks Using Machine Learning Approach
• A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack
• TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks
• HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records
• MARIA: a Multimodal Transformer Model for Incomplete Healthcare Data
• On the generalizability of machine-learning-assisted anisotropy mappings for predictive turbulence modelling
• RecSys Challenge 2016: job recommendations based on preselection of offers and gradient boosting
• Quasar and galaxy classification using Gaia EDR3 and CatWise2020
• Inductive Graph Transformer for Delivery Time Estimation
• ESG Rating Disagreement and Corporate Total Factor Productivity:Inference and Prediction
• A Naive Bayes Classifier for identifying Class II YSOs
• Fast Linear Model Trees by PILOT
• Entity Personalized Talent Search Models with Tree Interaction Features
• Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit
• An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting
• Quark Gluon Jet Discrimination with Weakly Supervised Learning
• Listwise Learning to Rank by Exploring Unique Ratings
• Ligand unbinding pathway and mechanism analysis assisted by machine learning and graph methods
• A Top-down Supervised Learning Approach to Hierarchical Multi-label Classification in Networks
• Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learning
• A Comprehensive Survey on Imbalanced Data Learning
• Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library
• VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees
• Semantic variation operators for multidimensional genetic programming
• Large-Scale Network Embedding in Apache Spark
• Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling
• A novel fusion of Sentinel-1 and Sentinel-2 with climate data for crop phenology estimation using Machine Learning
• Collider Signatures of Coannihilating Dark Matter in Light of the B-Physics Anomalies
• Learning to Identify Semi-Visible Jets
• Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets
• Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes
• Automatic analysis of artistic paintings using information-based measures
• Predicting metallicities and carbon abundances from Gaia XP spectra for (carbon-enhanced) metal-poor stars
• QoT estimation using EGN-assisted machine learning for multi-period network planning
• Constraints on Effective Field Theory Couplings Using 311.2 days of LUX Data
• 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
• Exploring Supernova Gravitational Waves with Machine Learning
• A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision
• Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data
• FetMRQC: a robust quality control system for multi-centric fetal brain MRI
• Chaos in multiplanetary extrasolar systems
• On the Trustworthiness of Tree Ensemble Explainability Methods
• CanCal: Towards Real-time and Lightweight Ransomware Detection and Response in Industrial Environments
• Explainable AI for a No-Teardown Vehicle Component Cost Estimation: A Top-Down Approach
• Explainable Software Defect Prediction from Cross Company Project Metrics Using Machine Learning
• Multi-task learning for virtual flow metering
• Fully Bayesian Classification with Heavy-tailed Priors for Selection in High-dimensional Features with Grouping Structure
• Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring
• Multimodal machine learning with large language embedding model for polymer property prediction
• A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease
• 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
• Predicting human decisions with behavioral theories and machine learning
• Euclid: Identification of asteroid streaks in simulated images using deep learning
• A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets
• Charm-quark Yukawa Coupling in $h\to c\bar{c}\gamma$ at LHC
• Answering Comparative Questions: Better than Ten-Blue-Links?
• Predicting Terrorist Attacks in the United States using Localized News Data
• Classification of cancer pathology reports: a large-scale comparative study
• Predicting Session Length in Media Streaming
• 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
• Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling
• 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
• Prospects of non-resonant di-Higgs searches and Higgs boson self-coupling measurement at the HE-LHC using machine learning techniques
• First simultaneous measurement of differential muon-neutrino charged-current cross sections on argon for final states with and without protons using MicroBooNE data
• Discovering and interpreting transcriptomic drivers of imaging traits using neural networks
• Measurement of the Higgs boson mass and width using the four-lepton final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• The Missing Indicator Method: From Low to High Dimensions
• 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
• Gravitational wave surrogates through automated machine learning
• 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
• On the Relation between Prediction and Imputation Accuracy under Missing Covariates
• Myers-Briggs personality classification from social media text using pre-trained language models
• Fairness Implications of Encoding Protected Categorical Attributes
• Measuring Friendship Closeness: A Perspective of Social Identity Theory
• Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection
• Towards a Comprehensive Solution for a Vision-based Digitized Neurological Examination
• Feature construction using explanations of individual predictions
• Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty
• Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running, and Sports Movements
• Detecting Financial Bots on the Ethereum Blockchain
• DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
• Detection of LIGO-Virgo binary black holes in the pair-instability mass gap
• A Time Series Approach To Player Churn and Conversion in Videogames
• Graph-Based Machine Learning Improves Just-in-Time Defect Prediction
• Search for $CP$ violation in ttH and tH production in multilepton channels in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• A method for approximating optimal statistical significances with machine-learned likelihoods
• SC2EGSet: StarCraft II Esport Replay and Game-state Dataset
• MLGOPerf: An ML Guided Inliner to Optimize Performance
• The miniJPAS survey quasar selection II: Machine learning classification with photometric measurements and uncertainties
• NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity
• Time-to-Green predictions for fully-actuated signal control systems with supervised learning
• Can a machine learn the outcome of planetary collisions?
• A Flexible Approach for Predictive Biomarker Discovery
• Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials
• Scaling associative classification for very large datasets
• GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection
• Hard-ODT: Hardware-Friendly Online Decision Tree Learning Algorithm and System
• Deep or Not Deep: Supervised Learning Approaches to Modeling the Pedestal Density
• 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
• Consistent and Flexible Selectivity Estimation for High-Dimensional Data
• Patient Outcome Predictions Improve Operations at a Large Hospital Network
• CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting
• Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks
• Health improvement framework for planning actionable treatment process using surrogate Bayesian model
• 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
• LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems
• Unveiling The Factors of Aesthetic Preferences with Explainable AI
• Search for invisible particles produced in association with single top quarks in proton-proton collisions at $\sqrt{s}$=13 TeV with the ATLAS detector
• Reinforcement learning-based architecture search for quantum machine learning
• Intelligent Protection & Classification of Transients in Two-Core Symmetric Phase Angle Regulating Transformers
• Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity
• Enhanced Astronomical Source Classification with Integration of Attention Mechanisms and Vision Transformers
• AI-Assisted Design Concept Exploration Through Character Space Construction
• Investigating Rumor News Using Agreement-Aware Search
• 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
• Measurement of Non-prompt ${\mathrm{D}}^0$-meson Elliptic Flow in Pb-Pb Collisions at $\sqrt{s_{\mathrm{NN}}}$ = 5.02 TeV
• Testing tree level TeV scale seesaw scenarios in $\mu$TRISTAN
• Toward Sustainable Polymer Design: A Molecular Dynamics-Informed Machine Learning Approach for Vitrimers
• 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
• FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting
• Event Log Sampling for Predictive Monitoring
• Symbolic-Regression Boosting
• Ensemble learning for blending gridded satellite and gauge-measured precipitation data
• ArgRewrite V.2: an Annotated Argumentative Revisions Corpus
• Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability
• E-Commerce Dispute Resolution Prediction
• The CatSouth Quasar Candidate Catalog for the Southern Sky and a Unified All-Sky Catalog Based on Gaia DR3
• Exploring Factors Affecting Pedestrian Crash Severity Using TabNet: A Deep Learning Approach
• Machine learning with tree tensor networks, CP rank constraints, and tensor dropout
• Stacking Neural Network Models for Automatic Short Answer Scoring
• Classification of the \emph{Fermi}-LAT Blazar Candidates of Uncertain type using eXtreme Gradient Boosting
• SEnSeI: A Deep Learning Module for Creating Sensor Independent Cloud Masks
• Forecasting Loss of Signal in Optical Networks with Machine Learning
• MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios
• Your Face Mirrors Your Deepest Beliefs-Predicting Personality and Morals through Facial Emotion Recognition
• Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks
• Tending Unmarked Graves: Classification of Post-mortem Content on Social Media
• Reliable Feature Selection for Adversarially Robust Cyber-Attack Detection
• Subtyping patients with chronic disease using longitudinal BMI patterns
• Skew-Probabilistic Neural Networks for Learning from Imbalanced Data
• Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts
• From Point to probabilistic gradient boosting for claim frequency and severity prediction
• Machine Learning Analysis of Anomalous Diffusion
• Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling
• Investigating the contribution of author- and publication-specific features to scholars' h-index prediction
• Realizing the potential of deep neural network for analyzing neutron star observables and dense matter equation of state
• A Novel Self-Attention-Enabled Weighted Ensemble-Based Convolutional Neural Network Framework for Distributed Denial of Service Attack Classification
• Testing the Robustness of AutoML Systems
• The Backbone Method for Ultra-High Dimensional Sparse Machine Learning
• Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features
• Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network
• 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
• J-PLUS DR3: Galaxy-Star-Quasar classification
• FAIR AI Models in High Energy Physics
• Neural network-based emulation of interstellar medium models
• APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT
• Predicting densities and elastic moduli of SiO2-based glasses by machine learning
• Exploring and Enhancing Placement of IDS in RPL: A Federated Learning-based Approach
• CANAL -- Cyber Activity News Alerting Language Model: Empirical Approach vs. Expensive LLM
• Model-assisted estimation in high-dimensional settings for survey data
• Photometric Classification of Stars Around the Milky Way's Central Black Hole: I. Central Parsec
• Reconstruction of Unstable Heavy Particles Using Deep Symmetry-Preserving Attention Networks
• Detection Latencies of Anomaly Detectors: An Overlooked Perspective ?
• Learning About Social Context from Smartphone Data: Generalization Across Countries and Daily Life Moments
• LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection Method
• Assessing the processes behind planet engulfment and its imprints
• 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
• Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data
• Learning Guided Automated Reasoning: A Brief Survey
• X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs
• MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators
• Cosmology with Galaxy Cluster Properties using Machine Learning
• Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering
• Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning: A Case Study on a Coronary Artery Disease Patient Cohort
• A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction
• SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees
• Predicting Solid State Material Platforms for Quantum Technologies
• EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting
• Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs
• Optimal Data Generation in Multi-Dimensional Parameter Spaces, using Bayesian Optimization
• Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechia
• Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs
• Learning migration models for supporting incremental language migrations of software applications
• From Halos to Galaxies. VI. Improved halo mass estimation for SDSS groups and measurement of the halo mass function
• Predicting Abandonment in Online Coding Tutorials
• Overview of AdaBoost : Reconciling its views to better understand its dynamics
• Objective comparison of methods to decode anomalous diffusion
• HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques
• Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction
• My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music
• 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
• Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach
• Towards a data-driven model of the sky from low Earth orbit as observed by the Hubble Space Telescope
• Energy reconstruction for large liquid scintillator detectors with machine learning techniques: aggregated features approach
• Machine learning for accuracy in density functional approximations
• Machine learning and natural language processing models to predict the extent of food processing
• Follow the Water: Finding Water, Snow and Clouds on Terrestrial Exoplanets with Photometry and Machine Learning
• Survey and Experiments on Mental Disorder Detection via Social Media: From Large Language Models and RAG to Agents
• Separable spatio-temporal kriging for fast virtual sensing
• 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
• Classifying binary black holes from Population III stars with the Einstein Telescope: A machine-learning approach
• Is a Classification Procedure Good Enough? A Goodness-of-Fit Assessment Tool for Classification Learning
• LogitBoost autoregressive networks
• The Validation of Graph Model-Based, Gate Level Low-Dimensional Feature Data for Machine Learning Applications
• Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
• SNGuess: A method for the selection of young extragalactic transients
• Quantum Operation of Affective Artificial Intelligence
• Optimizing fairness tradeoffs in machine learning with multiobjective meta-models
• Modeling the Telemarketing Process using Genetic Algorithms and Extreme Boosting: Feature Selection and Cost-Sensitive Analytical Approach
• Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization
• The completeness of the open cluster census towards the Galactic anticentre
• Efficient Hate Speech Detection: Evaluating 38 Models from Traditional Methods to Transformers
• DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search
• ADAM: An AI Reasoning and Bioinformatics Model for Alzheimer's Disease Detection and Microbiome-Clinical Data Integration
• CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
• Search for lepton-flavor-violating ${\tau }^{-}\to {\mu }^{-}{\mu }^{+}{\mu }^{-}$ decays at Belle II
• Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research
• Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review
• Modelling wildland fire burn severity in California using a spatial Super Learner approach
• Selection of powerful radio galaxies with machine learning
• The Magellanic Puzzle: origin of the periphery
• Domain Adaptation of Transformer-Based Models using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback
• Using Machine Learning to Improve Neutron Identification in Water Cherenkov Detectors
• 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
• When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data
• The four cosmic tidal web elements from the $\beta$-skeleton
• Beyond Cuts in Small Signal Scenarios -- Enhanced Sneutrino Detectability Using Machine Learning
• Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring
• Capability Iteration Network for Robot Path Planning
• Mass classification of dark matter perturbers of stellar tidal streams
• Towards robust and speculation-reduction real estate pricing models based on a data-driven strategy
• Deep Convolutional Neural Network Ensembles using ECOC
• A model for predicting price polarity of real estate properties using information of real estate market websites
• Adaptive Learning of Aggregate Analytics under Dynamic Workloads
• Dark and Bright Signatures of Di-Higgs Production
• Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating
• 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
• Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks
• Dynamic Advisor-Based Ensemble (dynABE): Case study in stock trend prediction of critical metal companies
• Determining clinically relevant features in cytometry data using persistent homology
• LLM-Powered Prediction of Hyperglycemia and Discovery of Behavioral Treatment Pathways from Wearables and Diet
• Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning
• Search for single vector-like $B$ quark production in hadronic final states at the LHC
• FedNLP: An interpretable NLP System to Decode Federal Reserve Communications
• Exploring the Interpretability of Forecasting Models for Energy Balancing Market
• Resolving Combinatorial Ambiguities in Dilepton $t\bar{t}$ Event Topologies with Neural Networks
• The left-right supersymmetric option at a high-energy upgrade of the LHC
• fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library
• Compound virtual screening by learning-to-rank with gradient boosting decision tree and enrichment-based cumulative gain
• Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization
• 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
• Positive and unlabelled machine learning reveals new fast radio burst repeater candidates
• Frost Prediction Using Machine Learning Methods in Fars Province
• Photometric Redshift Analysis using Supervised Learning Algorithms and Deep Learning
• 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
• On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
• PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information
• Unifying local and global model explanations by functional decomposition of low dimensional structures
• Smoothness and monotonicity constraints for neural networks using ICEnet
• Learning to rumble: Automated elephant call classification, detection and endpointing using deep architectures
• The ones that got away: chemical tagging of globular cluster-origin stars with Gaia BP/RP spectra
• Tab2vox: CNN-Based Multivariate Multilevel Demand Forecasting Framework by Tabular-To-Voxel Image Conversion
• Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction
• MT-CYP-Net: Multi-Task Network for Pixel-Level Crop Yield Prediction Under Very Few Samples
• 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
• Mechanics-Informed Machine Learning for Geospatial Modeling of Soil Liquefaction: Global and National Surrogate Models for Simulation and Near-Real-Time Response
• Estimation of Ebola's spillover infection exposure in Sierra Leone based on sociodemographic and economic factors
• Emission Line Predictions for Mock Galaxy Catalogues: a New Differentiable and Empirical Mapping from DESI
• Auto-Configured Explainable Graph Neural Networks for Multi-Site Pollution Prediction
• ControlBurn: Feature Selection by Sparse Forests
• MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling
• Classification supporting COVID-19 diagnostics based on patient survey data
• 360NorVic: 360-Degree Video Classification from Mobile Encrypted Video Traffic
• Birdspotter: A Tool for Analyzing and Labeling Twitter Users
• Predicting antimicrobial activity of conjugated oligoelectrolyte molecules via machine learning
• COSMOS-Web galaxy groups: Evolution of red sequence and quiescent galaxy fraction
• 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
• Inferring Exoplanet Disequilibria with Multivariate Information in Atmospheric Reaction Networks
• Discovering Nuclear Models from Symbolic Machine Learning
• J-PLUS: Bayesian object classification with a strum of BANNJOS
• Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis
• Deep Low-Density Separation for Semi-Supervised Classification
• Explaining Predictions by Characteristic Rules
• Tree based Single LED Indoor Visible Light Positioning Technique
• Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets
• 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
• SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features
• A Boosting Approach to Constructing an Ensemble Stack
• On the Privacy Risks of Cell-Based NAS Architectures
• AGBoost: Attention-based Modification of Gradient Boosting Machine
• Probing a ${\mathrm{Z}}^{\prime }$ with non-universal fermion couplings through top quark fusion, decays to bottom quarks, and machine learning techniques
• Ranking News-Quality Multimedia
• "Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models
• 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
• CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems
• LARCH: Large Language Model-based Automatic Readme Creation with Heuristics
• ODTE -- An ensemble of multi-class SVM-based oblique decision trees
• Probing the Inert Doublet Model via Vector-Boson Fusion at a Muon Collider
• Reweighting simulated events using machine-learning techniques in the CMS experiment
• 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
• Combining Bayesian Optimization, SVD and Machine Learning for Advanced Optical Design
• An Embedded Feature Selection Framework for Control
• Portable acceleration of CMS computing workflows with coprocessors as a service
• Persuasion or Insulting? Unpacking Discursive Strategies of Gender Debate in Everyday Feminism in China
• A multi-band AGN-SFG classifier for extragalactic radio surveys using machine learning
• Observation of $VVZ$ production at $\sqrt{s}=13$ TeV with the ATLAS detector
• 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
• Enhancing coastal water body segmentation with Landsat Irish Coastal Segmentation (LICS) dataset
• MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles
• Strokes2Surface: Recovering Curve Networks From 4D Architectural Design Sketches
• CAT: Interpretable Concept-based Taylor Additive Models
• Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting
• How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning
• TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation
• Feature Group Tabular Transformer: A Novel Approach to Traffic Crash Modeling and Causality Analysis
• Enhancing generalization in endwall film cooling prediction: Incorporating the superposition principle into transformer-based neural operators
• A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy Selection
• Measurement of the branching fraction ratio $R_K$ at large dilepton invariant mass
• Flexing RISC-V Instruction Subset Processors to Extreme Edge
• Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems
• Discovery of Fatigue Strength Models via Feature Engineering and automated eXplainable Machine Learning applied to the welded Transverse Stiffener
• CrossTrainer: Practical Domain Adaptation with Loss Reweighting
• A Machine Learning-based Non-precipitating Clouds Estimation for THz Dual-Frequency Radar
• Board gender diversity and emissions performance: Insights from panel regressions, machine learning, and explainable AI
• A nonparametric framework for treatment effect modifier discovery in high dimensions
• Sustainable Investing and the Cross-Section of Returns and Maximum Drawdown
• XGBoost "is all you need": the case of forecasting transmitted heat energy in District Heating Systems
• 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
• A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions
• A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems
• Patient Clustering via Integrated Profiling of Clinical and Digital Data
• Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data
• Machine learning approach for mapping the stable orbits around planets
• Inclusive, prompt and non-prompt $\mathrm{J}/\psi$ identification in proton-proton collisions at the Large Hadron Collider using machine learning
• Identifying type II quasars at intermediate redshift with few-shot learning photometric classification
• Euler Characteristic Tools For Topological Data Analysis
• The Yield Curve as a Recession Leading Indicator. An Application for Gradient Boosting and Random Forest
• Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
• Hierarchical Capsule Prediction Network for Marketing Campaigns Effect
• On marginal feature attributions of tree-based models
• Classification of magnetic order from electronic structure by using machine learning
• FiNCAT: Financial Numeral Claim Analysis Tool
• Cosmic topology. Part IVa. Classification of manifolds using machine learning: a case study with small toroidal universes
• The Vocabulary of Flaky Tests in the Context of SAP HANA
• Efficient Targeted Learning of Heterogeneous Treatment Effects for Multiple Subgroups
• Predicting Influenza A Viral Host Using PSSM and Word Embeddings
• Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
• Generating Explainable Rule Sets from Tree-Ensemble Learning Methods by Answer Set Programming
• A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem
• PassAI: explainable artificial intelligence algorithm for soccer pass analysis using multimodal information resources
• Improving Computer Vision Interpretability: Transparent Two-level Classification for Complex Scenes
• Machine-Learning Performance on Higgs-Pair Production Associated with Dark Matter at the LHC
• Classification of Stochastic Processes with Topological Data Analysis
• Experimental exploration of ErB${}_2$ and SHAP analysis on a machine-learned model of magnetocaloric materials for materials design
• SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal
• Machine Learning-Based Automated Assessment of Intracorporeal Suturing in Laparoscopic Fundoplication
• Rapid Image Labeling via Neuro-Symbolic Learning
• The Pristine Survey -- XXVII. Journey to the Galactic outskirts -- Mapping the outer halo red giant stars down to the very metal-poor end
• Binary and Multinomial Classification through Evolutionary Symbolic Regression
• Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals
• Early Identification of Optical Tidal Disruption Events: A science module for the Fink broker
• Predicting Stellar Rotation Periods Using XGBoost
• Learning to Rank Graph-based Application Objects on Heterogeneous Memories
• Polarized and unpolarized gluon PDFs: generative machine learning applications for lattice QCD matrix elements at short distance and large momentum
• Use of Machine Learning for gamma/hadron separation with HAWC
• Hedonic Prices and Quality Adjusted Price Indices Powered by AI
• Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
• Interplay of Traditional Methods and Machine Learning Algorithms for Tagging Boosted Objects
• QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting
• Intrinsic Direct Air Capture
• UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving
• Slepton searches in the trilinear RPV SUSY scenarios at the HL-LHC and HE-LHC
• High-Accuracy Physical Property Prediction for Organics via Molecular Representation Learning: Bridging Data to Discovery
• On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics -- Empirical Study on Brown Build and Risk Prediction
• Forecasting Player Behavioral Data and Simulating in-Game Events
• Probing non-standard $b\bar{b}h$ interaction at the LHC at $\sqrt{s}=13$ TeV
• Multi-Higgs Boson Probes of the Dark Sector
• Describing Hadronization via Histories and Observables for Monte-Carlo Event Reweighting
• BeeTLe: An Imbalance-Aware Deep Sequence Model for Linear B-Cell Epitope Prediction and Classification with Logit-Adjusted Losses
• Predicting Legal Proceedings Status: Approaches Based on Sequential Text Data
• Ruling the Unruly: Designing Effective, Low-Noise Network Intrusion Detection Rules for Security Operations Centers
• LaSER: Language-Specific Event Recommendation
• Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning
• Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method
• Forecasting the future development in quality and value of professional football players
• Comparing Shape-Constrained Regression Algorithms for Data Validation
• Machine learning-based identification of Gaia astrometric exoplanet orbits
• Improvements to monoscopic analysis for imaging atmospheric Cherenkov telescopes: Application to H.E.S.S
• Extracting Higgs Self-Coupling Constraints through Triple Higgs Boson Production at Future Hadron Colliders
• A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting
• Triple-Stream Deep Feature Selection with Metaheuristic Optimization and Machine Learning for Multi-Stage Hypertensive Retinopathy Diagnosis
• ESAVE: Estimating Server and Virtual Machine Energy
• Jet Substructure Probe on Scalar Leptoquark Models via Top Polarization
• Green Learning for STAR-RIS mmWave Systems with Implicit CSI
• MAISTEP -- a new grid-based machine learning tool for inferring stellar parameters I. Ages of giant-planet host stars
• Feedback Shaping: A Modeling Approach to Nurture Content Creation
• COVIDX: Computer-aided diagnosis of Covid-19 and its severity prediction with raw digital chest X-ray images
• Neural Network Predicts Ion Concentration Profiles under Nanoconfinement
• Agnostic Learning for Packing Machine Stoppage Prediction in Smart Factories
• SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems
• Cueless EEG imagined speech for subject identification: dataset and benchmarks
• DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps
• Exploring the Dependence of Gas Cooling and Heating Functions on the Incident Radiation Field with Machine Learning
• Measurement of beauty-quark production in pp collisions at $\sqrt{s}=13$ TeV via non-prompt D mesons
• DIGITWISE: Digital Twin-based Modeling of Adaptive Video Streaming Engagement
• The MIT Supercloud Workload Classification Challenge
• Predicting Volleyball Season Performance Using Pre-Season Wearable Data and Machine Learning
• Introducing Grid WAR: Rethinking WAR for Starting Pitchers
• Machine learning based stellar classification with highly sparse photometry data
• Assessment of Developmental Dysgraphia Utilising a Display Tablet
• First measurement of D${}^{\ast +}$ vector spin alignment in Pb$-$Pb collisions at $\sqrt{{\mathbf{s}}_{\mathrm{NN}}}=5.02$ TeV
• A Transferable Physics-Informed Framework for Battery Degradation Diagnosis, Knee-Onset Detection and Knee Prediction
• Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge Features
• Practical Forecasting of Cryptocoins Timeseries using Correlation Patterns
• Topic Shifts as a Proxy for Assessing Politicization in Social Media
• Neural Optimization with Adaptive Heuristics for Intelligent Marketing System
• Sound-Dr: Reliable Sound Dataset and Baseline Artificial Intelligence System for Respiratory Illnesses
• Clinical utility of foundation models in musculoskeletal MRI for biomarker fidelity and predictive outcomes
• Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning
• First Simultaneous Determination of Inclusive and Exclusive $\left|V_{ub}\right|$
• SpotV2Net: Multivariate Intraday Spot Volatility Forecasting via Vol-of-Vol-Informed Graph Attention Networks
• Missing Features Reconstruction and Its Impact on Classification Accuracy
• Local Boosting for Weakly-Supervised Learning
• Applying machine learning to Galactic Archaeology: how well can we recover the origin of stars in Milky Way-like galaxies?
• Constraints on the photon polarisation in $b\to s\gamma$ transitions using $B_s^0\to \varphi e^{+}{e}^{-}$ decays
• An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection
• A Real-World Implementation of Unbiased Lift-based Bidding System
• Machine Learning and Kalman Filtering for Nanomechanical Mass Spectrometry
• Searches for neutrino counterparts of gravitational waves from the LIGO/Virgo third observing run with KM3NeT
• WebSHAP: Towards Explaining Any Machine Learning Models Anywhere
• Tab-Attention: Self-Attention-based Stacked Generalization for Imbalanced Credit Default Prediction
• Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy
• On Explainability in AI-Solutions: A Cross-Domain Survey
• Machine Learning Application for $\mathbf{\Lambda }$ Hyperon Reconstruction in CBM at FAIR
• STRisk: A Socio-Technical Approach to Assess Hacking Breaches Risk
• The ProfessionAl Go annotation datasEt (PAGE)
• 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
• Can Few Lines of Code Change Society ? Beyond fack-checking and moderation : how recommender systems toxifies social networking sites
• Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis
• 2D Slice-driven Physics-based 3D Motion Estimation Framework for Pancreatic Radiotherapy
• Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC
• Search for heavy neutral leptons in electron-positron and neutral-pion final states with the MicroBooNE detector
• Search for $B^0\to K^{\ast 0}{\tau }^{+}{\tau }^{-}$ decays at the Belle II experiment
• Unmasking the physical information inherent to interstellar spectral line profiles with Machine Learning. I. Application of LTE to HCN and HNC transitions
• Insulin Resistance Prediction From Wearables and Routine Blood Biomarkers
• TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model
• A Machine Learning Approach Towards Runtime Optimisation of Matrix Multiplication
• Automatic Time Signature Determination for New Scores Using Lyrics for Latent Rhythmic Structure
• Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction
• Learning novel representations of variable sources from multi-modal $\text{Gaia}$ data via autoencoders
• Grafting for Combinatorial Boolean Model using Frequent Itemset Mining
• Predicting Relationship Labels and Individual Personality Traits from Telecommunication History in Social Networks using Hawkes Processes
• Eye Movements as Indicators of Deception: A Machine Learning Approach
• Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services
• PAIReD jet: A multi-pronged resonance tagging strategy across all Lorentz boosts
• TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression
• Uncertainty in Lung Cancer Stage for Outcome Estimation via Set-Valued Classification
• A Federated Random Forest Solution for Secure Distributed Machine Learning
• Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets
• FANAL -- Financial Activity News Alerting Language Modeling Framework
• CryptoAnalytics: Cryptocoins Price Forecasting with Machine Learning Techniques
• Random Hyperboxes
• rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models
• Observation of the ${\Lambda }_b^0\to J/\psi {\Xi }^{-}{K}^{+}$ and ${\Xi }_b^0\to J/\psi {\Xi }^{-}{\pi }^{+}$ decays
• AI-Driven SEEG Channel Ranking for Epileptogenic Zone Localization
• CH${}_3$OH as a User-Friendly Density Probe: Calibration and Beyond
• Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints
• Adaptive Machine Learning for Resource-Constrained Environments
• A Bayesian neural network predicts the dissolution of compact planetary systems
• Interpretable Feature Construction for Time Series Extrinsic Regression
• BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models
• Time Series Information Visualization -- A Review of Approaches and Tools
• The use of Boosted Decision Trees for Energy Reconstruction in JUNO experiment
• Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series Measurements
• Analysis of $B_{(s)}^0\to {\mu }^{+}{\mu }^{-}$ decays at the LHC
• Deep Particulate Matter Forecasting Model Using Correntropy-Induced Loss
• 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
• How effective are Graph Neural Networks in Fraud Detection for Network Data?
• Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods
• Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
• Machine Learning for maximizing the memristivity of single and coupled quantum memristors
• Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector
• A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction
• Measurement of the non-prompt D-meson fraction as a function of multiplicity in proton$-$proton collisions at $\sqrt{s}=13$ TeV
• A Survey of Features Used for Representing Black-box Single-objective Continuous Optimization
• Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling
• Predictive Model Development to Identify Failed Healing in Patients after Non-Union Fracture Surgery
• Searches for direct slepton production in the compressed-mass corridor in $\sqrt{s}=13$ TeV $pp$ collisions with the ATLAS detector
• Approximating Opaque Top-k Queries
• Supervised Learning Models for Early Detection of Albuminuria Risk in Type-2 Diabetes Mellitus Patients
• Machine Learning applications for Cataclysmic Variable discovery in the ZTF alert stream
• Performance evaluation of matrix factorization for fMRI data
• Factor Importance Ranking and Selection using Total Indices
• Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
• Investigating Resource-efficient Neutron/Gamma Classification ML Models Targeting eFPGAs
• Vectorization of Gradient Boosting of Decision Trees Prediction in the CatBoost Library for RISC-V Processors
• EnsembleIV: Creating Instrumental Variables from Ensemble Learners for Robust Statistical Inference with ML-Generated Variables
• Attitudes Towards Migration in a COVID-19 Context: Testing a Behavioral Immune System Hypothesis with Twitter Data
• Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models
• Measurement of beauty production via non-prompt charm hadrons in p-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$ TeV
• Dynamic Co-Optimization Compiler: Leveraging Multi-Agent Reinforcement Learning for Enhanced DNN Accelerator Performance
• Evaluating the Impact of Data Availability on Machine Learning-augmented MPC for a Building Energy Management System
• Efficient Human-Object-Interaction (EHOI) Detection via Interaction Label Coding and Conditional Decision
• Polar Encoding: A Simple Baseline Approach for Classification with Missing Values
• Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning
• Red is Sus: Automated Identification of Low-Quality Service Availability Claims in the US National Broadband Map
• Optimal sensitivity of anomalous charged triple gauge couplings through $W$ boson helicity at the $e^{+}{e}^{-}$ colliders
• Effective Predictive Modeling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-learning Gradient Boosting
• Identification of low-momentum muons in the CMS detector using multivariate techniques in proton-proton collisions at $\sqrt{s}$ = 13.6 TeV
• To remove or not remove Mobile Apps? A data-driven predictive model approach
• 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
• Pointing Accuracy Improvements for the South Pole Telescope with Machine Learning
• Crash Severity Risk Modeling Strategies under Data Imbalance
• Mamba-based Deep Learning Approach for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography
• Transformers Meet Relational Databases
• Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider
• Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection
• SpecTf: Transformers Enable Data-Driven Imaging Spectroscopy Cloud Detection
• A Short-Term Predict-Then-Cluster Framework for Meal Delivery Services
• Co-Membership-based Generic Anomalous Communities Detection
• Angular analysis of $B^0\to K^{\ast 0}{e}^{+}{e}^{-}$ decays
• Towards an Argument Mining Pipeline Transforming Texts to Argument Graphs
• ViF-SD2E: A Robust Weakly-Supervised Method for Neural Decoding
• Characterisation of Hamamatsu R11065-20 PMTs for use in the SABRE South NaI(Tl) Crystal Detectors
• A Morphological Model to Separate Resolved-Unresolved Sources in the DESI Legacy Surveys: Application in the LS4 Alert Stream
• Interpretable machine learned predictions of adsorption energies at the metal--oxide interface
• Distinguishing Orbiting and Infalling Dark Matter Particles with Machine Learning
• A Machine Learning Benchmarking Framework for Lipid Nanoparticle Transfection Efficiency Prediction
• Characterising authors on the extent of their paper acceptance: A case study of the Journal of High Energy Physics
• Imbalanced Regression Pipeline Recommendation
• LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges
• Chameleon Screening Depends on the Shape and Structure of NFW Halos
• Multiplicity dependence of ${\Xi }_c^{+}$ and ${\Xi }_c^0$ production in pp collisions at $\sqrt{s}=13$ TeV
• Exploring Context Generalizability in Citywide Crowd Mobility Prediction: An Analytic Framework and Benchmark
• Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
• Accelerating exoplanet climate modelling: A machine learning approach to complement 3D GCM grid simulations
• A Photometric Classifier for Tidal Disruption Events in Rubin LSST
• An Intelligent Multi-task Supply Chain Model Based on Bio-inspired Networks
• 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
• Optimizing Supernova Classification with Interpretable Machine Learning Models
• Data-Driven Logistic Regression Ensembles With Applications in Genomics
• Unified Robust Boosting
• Assessing Low Back Movement with Motion Tape Sensor Data Through Deep Learning
• Boosted decision trees approach to neck alpha events discrimination in DEAP-3600 experiment
• 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
• Learning Objective Boundaries for Constraint Optimization Problems
• Accelerating the Design of Resorbable Magnesium Alloys: A Machine Learning Approach to Property Prediction
• Stellar masses and mass ratios for Gaia open cluster members
• Complexity-based code embeddings
• What Artificial Intelligence can do for High-Performance Computing systems?
• TREAT-Net: Tabular-Referenced Echocardiography Analysis for Acute Coronary Syndrome Treatment Prediction
• RO-FIGS: Efficient and Expressive Tree-Based Ensembles for Tabular Data
• Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications
• On the Performance of Cyber-Biomedical Features for Intrusion Detection in Healthcare 5.0
• A Parallel Scan Algorithm in the Tensor Core Unit Model
• User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant
• Unlocking GOES: A Statistical Framework for Quantifying the Evolution of Convective Structure in Tropical Cyclones
• REDS: Rule Extraction for Discovering Scenarios
• Causal Interventional Prediction System for Robust and Explainable Effect Forecasting
• Low surface brightness galaxies from BASS+MzLS with Machine Learning
• Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning
• A reluctant additive model framework for interpretable nonlinear individualized treatment rules
• CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion
• Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties
• Why is the prediction wrong? Towards underfitting case explanation via meta-classification
• A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail
• Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing
• Using clarification questions to improve software developers' Web search
• VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization
• Deep Gaussian Processes for Air Quality Inference
• Self-supervised Graph Representation Learning for Black Market Account Detection
• Asynch-SGBDT: Asynchronous Parallel Stochastic Gradient Boosting Decision Tree based on Parameters Server
• Observation of the $B^0\to {\overline{D}}^{\ast 0}{K}^{+}{\pi }^{-}$ and $B_s^0\to {\overline{D}}^{\ast 0}{K}^{-}{\pi }^{+}$ decays
• Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion
• Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets
• Predictive Modeling of Shading Effects on Photovoltaic Panels Using Regression Analysis
• When the Label Ignores the Request: Auditing Policy-Selected Targets in Synthetic Conversational Music Recommendation
• Demystifying the Role of Rule-based Detection in AI Systems for Windows Malware Detection
• A Simple and Interpretable Predictive Model for Healthcare
• Understanding Emotional Disclosure via Diary-keeping in Quarantine on Social Media
• Beyond Interpretability: Exploring the Comprehensibility of Adaptive Video Streaming through Large Language Models
• 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
• A Modular Approach to Automatic Cyber Threat Attribution using Opinion Pools
• The Stellar Abundances and Galactic Evolution Survey (SAGES). IV. Surface Gravity Estimation and Giant-Dwarf Separation with the DDO51 Filter
• Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques
• Transfer Learning for Node Regression Applied to Spreading Prediction
• Using Machine Learning to Separate Cherenkov and Scintillation Light in Hybrid Neutrino Detector
• Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning
• Simulating counterfactuals
• Circuit design in biology and machine learning. II. Anomaly detection
• A General-Purpose Framework for Chemical Reaction Representation with Atomic Correspondence and Flexible Condition Adaptation
• Using machine learning to speed up new and upgrade detector studies: a calorimeter case
• Predicting total time to compress a video corpus using online inference systems
• Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting
• Using Conformal Win Probability to Predict the Winners of the Cancelled 2020 NCAA Basketball Tournaments
• Thought Flow Nets: From Single Predictions to Trains of Model Thought
• Generating Global and Local Explanations for Tree-Ensemble Learning Methods by Answer Set Programming
• Deep Neural Networks Guided Ensemble Learning for Point Estimation
• Bridging Simulations and Observations: New Insights into Galaxy Formation Simulations via Out-of-Distribution Detection and Bayesian Model Comparison
• Let's Predict Who Will Move to a New Job
• Machine Learning-Driven Predictive Resource Management in Complex Science Workflows
• Rating Prediction in Conversational Task Assistants with Behavioral and Conversational-Flow Features
• Measurement of $t$-channel single-top-quark production in $pp$ collisions at $\sqrt{s}=5.02$ TeV with the ATLAS detector
• Probing Light Scalars and Vector-like Quarks at the High-Luminosity LHC
• Measuring vagueness and subjectivity in texts: from symbolic to neural VAGO
• A Practical Theory of Generalization in Selectivity Learning
• Compressed representation of brain genetic transcription
• Search for the decay $B^0\to \varphi \varphi$
• Machine Learning Classification of Sphalerons and Black Holes at the LHC
• Analysis of ${\Lambda }_b^0\to p{K}^{-}{\mu }^{+}{\mu }^{-}$ decays
• Investigating Forecasting Models for Pandemic Infections Using Heterogeneous Data Sources: A 2-year Study with COVID-19
• Deep learning reveals key predictors of thermal conductivity in covalent organic frameworks
• Learning from students' perception on professors through opinion mining
• Adaptive Conformal Prediction by Reweighting Nonconformity Score
• Search for $B_c^{+}\to {\pi }^{+}{\mu }^{+}{\mu }^{-}$ decays and measurement of the branching fraction ratio $\mathcal{B}(B_c^{+}\to \psi (2S){\pi }^{+})/\mathcal{B}(B_c^{+}\to J/\psi {\pi }^{+})$
• Identification of Neuronal Polarity by Node-Based Machine Learning
• REDELEX: A Framework for Relational Deep Learning Exploration
• Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection
• Gaia GraL: Gaia gravitational lens systems IX. Using XGBoost to explore the Gaia Focused Product Release GravLens catalogue
• Which Upstream Solar Wind Conditions Matter Most in Predicting Bz within Coronal Mass Ejections
• Learning to Select SAT Encodings for Pseudo-Boolean and Linear Integer Constraints
• Optimizing BioTac Simulation for Realistic Tactile Perception
• Explainability's Gain is Optimality's Loss? -- How Explanations Bias Decision-making
• Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation
• 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
• Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma
• Search for lepton-flavor-violating ${\tau }^{-}\to {\ell }^{-}{K}_s^0$ decays at Belle and Belle II
• Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation
• Optimizing Memory Allocation in Distributed Clusters with Predictive Modeling
• CardioCaps: Attention-based Capsule Network for Class-Imbalanced Echocardiogram Classification
• Individualized Context-Aware Tensor Factorization for Online Games Predictions
• Is text normalization relevant for classifying medieval charters?
• Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles
• The miniJPAS survey quasar selection V: combined algorithm
• Measurements of inclusive and differential Higgs boson production cross sections at $\sqrt{s}$ = 13.6 TeV in the H $\to$ $\gamma \gamma$ decay channel
• A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring
• Using spatial extreme-value theory with machine learning to model and understand spatially compounding weather extremes
• Synthetic Data Augmentation for Enhancing Harmful Algal Bloom Detection with Machine Learning
• Euclid: Discovery of 31 new quasars at $6.6<z<7.8$
• Breiman meets Bellman: Non-Greedy Decision Trees with MDPs
• 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
• Most Western African migrants remain local and travel short distances
• Different thresholding methods on Nearest Shrunken Centroid algorithm
• A Green Learning Approach to LDCT Image Restoration
• Explainable AI for Infection Prevention and Control: Modeling CPE Acquisition and Patient Outcomes in an Irish Hospital with Transformers
• Explainable Machine Learning in Healthcare: Methods, Interpretation, and Applications for Clinical Research
• Individualized prescriptive inference in ischaemic stroke
• Interpretable Early Warnings using Machine Learning in an Online Game-experiment
• Constraints on new physics from decays of polarized ${\Lambda }_b^0$ baryons at the FCC-ee
• Optimizing Prognostic Biomarker Discovery in Pancreatic Cancer Through Hybrid Ensemble Feature Selection and Multi-Omics Data
• A Comparative Study of QSPR Methods on a Unique Multitask PAMPA dataset
• AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary Masking
• Learning Selection Cuts With Gradients
• Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
• The miniJPAS and J-NEP surveys: Machine learning for star-galaxy separation
• Attention-Enhanced LSTM Modeling for Improved Temperature and Rainfall Forecasting in Bangladesh
• Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectives
• sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging
• Linking the Dynamics of User Stance to the Structure of Online Discussions
• Search for low-mass hidden-valley dark showers with non-prompt muon pairs in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• Rethinking Timing Residuals: Advancing PET Detectors with Explicit TOF Corrections
• ProReco: A Process Discovery Recommender System
• Tempo: Helping Data Scientists and Domain Experts Collaboratively Specify Predictive Modeling Tasks
• 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
• Probabilistic Spectral Reconstruction of Trans-Neptunian Objects from Sparse Photometry: A Framework for Taxonomy, Survey Optimization, and Outlier Detection
• Measurement of the branching fractions and longitudinal polarisations of $B_{(s)}^0\to K^{\ast 0}\overline{K}{}^{\ast 0}$ decays
• Multiclass Graph-Based Large Margin Classifiers: Unified Approach for Support Vectors and Neural Networks
• Crime and social environments: Differences between misdemeanors and felonies
• MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation
• From physical surfaces to human-centric heat stress: LST and UTCI heat mapping reveals nonlinear effects of urban morphology
• A Model of Causal Explanation on Neural Networks for Tabular Data
• Machine learning for smell: Ordinal odor strength prediction of molecular perfumery components
• Tree Models Machine Learning to Identify Liquid Metal based Alloy Superconductor
• Explainability Methods for Hardware Trojan Detection: A Systematic Comparison
• Measurements of Higgs boson production cross section in the four-lepton final state in proton-proton collisions at $\sqrt{s}$ = 13.6 TeV
• A generalized motif-based Naïve Bayes model for sign prediction in complex networks
• Link Prediction in Bipartite Networks
• Long-term foehn reconstruction combining unsupervised and supervised learning
• 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
• Search for the lepton-flavor-violating ${\tau }^{-}\to e^{\mp }{\ell }^{\pm }{\ell }^{\mp }$ decays at Belle II
• Measurement of the Hubble constant using the Dark Energy Survey Year 6 Gold galaxy catalogue and the fourth Gravitational-Wave Transient Catalogue
• Positive-Unlabelled Learning for identifying new candidate Dietary Restriction-related genes among Ageing-related genes
• Scared into Action: How Partisanship and Fear are Associated with Reactions to Public Health Directives
• Constructing Per-Shot Bitrate Ladders using Visual Information Fidelity
• AutoEnRichness: A hybrid empirical and analytical approach for estimating the richness of galaxy clusters
• The Nah Bandit: Modeling User Non-compliance in Recommendation Systems
• About the Influence of Workflow Topology on Task Intensity Prediction through Graph Learning
• Footprints of Data in a Classifier: Understanding the Privacy Risks and Solution Strategies
• Sparse tree-based initialization for neural networks
• Searching for exotic Higgs bosons from top quark decays at the HL-LHC
• Smart Journey in Istanbul: A Mobile Application in Smart Cities for Traffic Estimation by Harnessing Time Series
• The Impossibility of Parallelizing Boosting
• A Study into patient similarity through representation learning from medical records
• DemandLens: Enhancing Forecast Accuracy Through Product-Specific Hyperparameter Optimization
• Imaging-Based Mortality Prediction in Patients with Systemic Sclerosis
• epiGPTope: A machine learning-based epitope generator and classifier
• Nonlocality Effect in the Tunneling of Alpha Radioactivity with the Aid of Machine Learning
• Quantifying USA tariffs effect: machine learning, entropy and fractal insights into the stock markets
• Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using an Explainable Lightweight 1D CNN-XGBoost Ensemble
• Optimizing High Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server
• 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
• Minimising Event Size, Maximising Physics: Inclusive Particle Isolation for LHCb's Run 3
• Robust Spectral Watermark for Synthetic Tabular Data
• Interaction as Interference: A Quantum-Inspired Aggregation Approach
• Interpolation of mountain weather forecasts by machine learning
• Multivariate Uncertainty Quantification with Tomographic Quantile Forests
• Measurement of the solar neutrino interaction rate below 3.49 MeV in Super-Kamiokande-IV
• Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach
• Deep-learning jet flavor tagging for precision hadronic Higgs measurements at future $e^{+}{e}^{-}$ Higgs factories
• Random Forests applied to High Precision Photometry Analysis with Spitzer IRAC
• An AI Implementation Science Study to Improve Trustworthy Data in a Large Healthcare System
• Machine-Learned Dark Matter Subhalo Candidates in the 4FGL-DR2: Search for the Perturber of the GD-1 Stream
• Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation
• Revisiting the exoplanet radius valley with host stars from SWEET-Cat
• Multi-Partner Project: COIN-3D -- Collaborative Innovation in 3D VLSI Reliability
• Guardrailed Elasticity Pricing: A Churn-Aware Forecasting Playbook for Subscription Strategy
• Measurements of ttW differential cross sections and the leptonic charge asymmetry at $\sqrt{s}$ = 13 TeV
• A Gradient Boosted Mixed-Model Machine Learning Framework for Vessel Speed in the U.S. Arctic
• Potential and limitations of machine-learning approaches to inclusive $|V_{ub}|$ determinations
• Exploring Higgs EFT in $t\bar{t}hh$ at High Luminosity LHC
• Measurement of B meson production fraction ratios in proton-proton collisions at $\sqrt{s}$ = 13 TeV using open-charm and charmonium decays
• Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics
• Machine Learning in Epidemiology
• Influence of Autoencoder Latent Space on Classifying IoT CoAP Attacks
• Reliable XAI Explanations in Sudden Cardiac Death Prediction for Chagas Cardiomyopathy
• A model-based restricted shapley value to measure the players' contribution to shot actions in football
• Real-Time Driver Safety Scoring Through Inverse Crash Probability Modeling
• Prospects of searches for invisible $B$-meson decays at FCC-ee
• Virtual Sensing for Solder Layer Degradation and Temperature Monitoring in IGBT Modules
• NationalMood: Large-scale Estimation of People's Mood from Web Search Query and Mobile Sensor Data
• A Hybrid Statistical Learning Framework for Capability-Based Decision Support in Manufacturing
• Lecture notes on Machine Learning applications for global fits
• A Hierarchical Ensemble Pipeline for Anomaly Detection in ESA Satellite Telemetry
• Machine Learning-Based Cluster Classification to Suppress Background in a Prototype RPC Detector
• ActiveNet: A computer-vision based approach to determine lethargy
• Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift
• VarWISE: Infrared Variability via NEOWISE Single Exposure Photometry
• Rehabilitating Homeless: Dataset and Key Insights
• How Many Pages? Paper Length Prediction from the Metadata
• Inclusive $B$-meson flavour-tagging algorithm at LHCb
• XClass: An Automated Multiwavelength Machine-Learning Pipeline for Classification of Extragalactic X-ray Sources. I. Pipeline Description
• 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
• Comprehensive Evaluation of Machine Learning for Type 2 Diabetes Risk Prediction: Large-Scale External Validation and Fairness Analysis
• SpectraSensML Software: Mastering Complete Spectral Information for Luminescence Thermometry 2.0
• MultiHuSE: A Multimodal Dataset for Humour Styles and Emotions
• Advanced Techniques in Stability Analysis of Trans-Neptunian Objects
• Quantification and Surrogate Model Estimation of Spatial-Temporal Carbon Intensity Factors
• Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions
• DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes
• Efficient neutral-IGM inference from noisy 21-cm forest spectra with latent-space U-Net encoding and XGBoost
• Surface waves prediction based on long-range acoustic backscattering in a mid-frequency range
• 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
• High-Throughput-Screening Workflow for Predicting Volume Changes by Ion Intercalation in Battery Materials
• Interpretable liquid crystal phase classification via two-by-two ordinal patterns
• Mitigating Concept Drift in QoS Prediction for Teleoperation of Autonomous Vehicles Using Historic Data
• 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
• Integrating SAINT with Tree-Based Models: A Case Study in Employee Attrition Prediction
• Multiple Additive Neural Networks for Structured and Unstructured Data
• Probability Distribution on Full Rooted Trees
• 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
• Toward Efficient Testing of Graph Neural Networks via Test Input Prioritization
• 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
• Study of $b$-hadron decays to ${\Lambda }_c^{+}{h}^{-}{h}^{\prime -}$ final states
• Enhance the performance of navigation: A two-stage machine learning approach
• A Lightweight Learned Cardinality Estimation Model
• Enhancing Forecasting with a 2D Time Series Approach for Cohort-Based Data
• How to use Machine Learning to improve the discrimination between signal and background at particle colliders
• A gradient boosting and broadband approach to finding Lyman-α emitting galaxies beyond narrowband surveys
• Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces
• "A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations
• 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
• Understanding the European energy crisis through structural causal models
• Delete My Account: Impact of Data Deletion on Machine Learning Classifiers
• TabularQGAN: A quantum generative model for tabular data synthesis
• Representing Higher-Order Networks with Spectral Moments
• Machine Learning-assisted High-speed Combinatorial Optimization with Ising Machines for Dynamically Changing Problems
• Predicting E-commerce Purchase Behavior using a DQN-Inspired Deep Learning Model for enhanced adaptability
• Q-Cluster: Quantum Error Mitigation Through Noise-Aware Unsupervised Learning
• Predictive Machine Learning of Objective Boundaries for Solving COPs
• Characterizing the hadronization of parton showers using the HOMER method
• Machine Learning a Phosphor's Excitation Band Position
• DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection
• Supervised segmentation of NO2 plumes from individual ships using TROPOMI satellite data
• Towards understanding the nature of direct functional connectivity in visual brain network
• A Hormetic Approach to the Value-Loading Problem: Preventing the Paperclip Apocalypse?
• High-dimensional point forecast combinations for emergency department demand
• WorkR: Occupation Inference for Intelligent Task Assistance
• A step towards the integration of machine learning and classic model-based survey methods
• Induction of Non-monotonic Logic Programs To Explain Statistical Learning Models
• Simultaneous Matrix Diagonalization for Structural Brain Networks Classification
• Data-driven quantification of model-form uncertainty in Reynolds-averaged simulations of wind farms
• Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance
• Tagging ultra-boosted jets at FCC-hh using machine learning techniques
• An Empirical Analysis of Federated Learning Models Subject to Label-Flipping Adversarial Attack
• 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
• Signal Processing in the Retina: Interpretable Graph Classifier to Predict Ganglion Cell Responses
• Applications of Machine Learning to Optimizing Polyolefin Manufacturing
• Searching for a signature of turnaround in galaxy clusters with convolutional neural networks
• From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics*
• A Machine learning and Empirical Bayesian Approach for Predictive Buying in B2B E-commerce
• Photometric redshifts for quasars from WISE-PS1-STRM
• GalSBI: Phenomenological galaxy population model for cosmology using simulation-based inference
• Machine Learning Electroweakino Production
• A Text-based Approach For Link Prediction on Wikipedia Articles
• Hawk: An Efficient NALM System for Accurate Low-Power Appliance Recognition
• Neural Network Driven, Interactive Design for Nonlinear Optical Molecules Based on Group Contribution Method
• Implicit Quantile Networks For Emulation in Jet Physics
• Unfair Utilities and First Steps Towards Improving Them
• Multiple Learning for Regression in big data
• Linearly-scalable learning of smooth low-dimensional patterns with permutation-aided entropic dimension reduction
• 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
• A Method for Discovering Novel Classes in Tabular Data
• 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
• IMMIGRATE: A Margin-based Feature Selection Method with Interaction Terms
• Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Survey of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems