Machine Learning

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55 papers in the last 28 days · 0.9% of indexed attention

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Period ending 2026-09-21

24 new papers

A weekly snapshot of new work published in Machine Learning.

Period ending 2026-09-14

13 new papers

A weekly snapshot of new work published in Machine Learning.

Period ending 2026-09-07

11 new papers

A weekly snapshot of new work published in Machine Learning.

660 papers

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  1. Video-based detection of cessation of breathing in pre-term infants using machine learning

    Jul 6, 2026Dineo Serame, Lionel Tarassenko, Mauricio VillarroelRespiratory Sound ClassificationMachine Learning

  2. SMART: A Machine Learning and Monte Carlo Framework for Rapid Analysis of Stochastic Transistor Aging and Process Variation in Digital Circuits

    Jul 6, 2026Arash Esshaghi, Siavash Es'haghi, Gholamreza Shahabadi +1And Mixed-Signal CircuitsMonte Carlo

  3. Counterfactual Methods for Detecting Unfairness in Anti-Money Laundering Algorithms

    Jul 6, 2026Lea Multerer, Michele Inchingolo, David Kletz +3Anti-Money LaunderingMachine Learning

  4. Machine Learning for Depression Screening and Intervention: an Original Circadian Rhythm Score-based Methodology

    Jul 6, 2026Bin Wang, Shuo Lian, Yuanyuan Hou +5Depression DetectionSleep

  5. LeukocyteCount: Automatic Identification and Counting for leukocytes using Deep Learning

    Jul 5, 2026Ahmed M. Sayed, Sondos A. Refaat, Abdallah M. Mostafa +2Acute Myeloid LeukemiaAutomatic Identification System

  6. IRIS: An Intelligent Vision-Language System for Ocular Surface Diseases via Topic Tree and Scene-Driven VQA Generation

    Jul 5, 2026Hao Wei, Wenjin Qi, Dasen Dai +2Knowledge-Based Visual Question AnsweringLarge Vision Language Models

  7. Server-side Anti-cheat in FPS games for Aimbot detection using Deep learning and Machine learning

    Jul 5, 2026Siddhesh A. Dhinge, Shubham G. Sukum, Harsh S. Ranjane +2Deep LearningMachine Learning

  8. Broken Ergodicity and the Violation of the Fluctuation-Dissipation Theorem Lead to Generalization Beyond Overfitting in Machine Learning

    Jul 5, 2026Chan Li, Nigel GoldenfeldMean-Field LimitTwo-Layer Neural Networks

  9. When Does Small Data Work? Accuracy and Efficiency Trade-offs Between Tabular Foundation Models and Conventional Methods for Crowd-State Classification at Hajj and Umrah

    Jul 4, 2026AlJawharh S. AlOtaibi, Mohamed Eltahir, Jude AlSubaieTabular Foundation ModelsTabular Learning

  10. Task-Conditioned Synthetic Data Generation for Improving Machine Learning Performance in Agricultural Prediction Tasks

    Jul 4, 2026Hamid Ebrahimy, Moritz Lucas, Martin AtzmuellerSynthetic DataMachine Learning

  11. TSP with Predictions: Heatmap to Tour with Provable Guarantees

    Jul 4, 2026Marek Eliáš, Fabrizio Grandoni, Adam Polak +1Salesman ProblemApproximation Algorithms

  12. Validation-Induced Shapley Shifts: How Validation Structure Distorts Data Valuation

    Jul 4, 2026Yinan Shen, Ziao Yang, Hongfu LiuShapley ValueDistribution Shifts

  13. FedAvg for HAR: Exploring the Tradeoff Between Personalized and Generalization Accuracy

    Jul 3, 2026Andrea De Luna, Susanna Peretti, Chiara Contoli +1Federated LearningFedavg

  14. Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models

    Jul 3, 2026Karan Ruparell, Tristan Hascoet, Takemasa Miyoshi +4Fundamental Hydrological PrinciplesAccurate Flood Prediction

  15. Cancelable Biometric Template Protection Based on Multi-Instance Fusion: A Contralateral Iris Approach

    Jul 3, 2026Jittarin Chaivong, Nicha Vikromrotjananan, Teekatat Piriyapittaya +2BiometricsTemplates

  16. SMOCS: A Streaming Framework for Simplified Deployment, Monitoring, and Optimization of ML Systems in Production

    Jul 2, 2026Armen Kasparian, Kishansingh Rajput, Malachi Schram +1Machine LearningAi-Based Framework

  17. The Future of NLP may not be at NLP Conferences: Scholarly Migration Patterns in Natural Language Processing

    Jul 2, 2026David JurgensAcademic PapersNatural Language Processing

  18. Q-GAIN: A Python Package for Machine Learning and Physically Informed Analysis Applications

    Jul 2, 2026M. Doris, S. Guo, S. M. Koh +5Quantum Machine LearningMany-Body Physics

  19. Predicting Early Stages Of Alzheimer's Disease And Identifying Key Biomarkers Using Deep Artificial Neural Network And Ensemble Of Machine Learning Methodologies

    Jul 2, 2026Debopriya GhoshAlzheimerBiomarker

  20. Coding-agents can replicate scientific machine learning papers

    Jul 2, 2026Atharva Hans, Ilias BilionisReproducibilityCoding Agents

  21. Quantum vs. Classical Machine Learning: A Unified Empirical Comparison

    Jul 1, 2026Chuanming Yu, Jiaming Liu, Zihao Ge +4Quantum Machine LearningQuantum Computing

  22. Understanding How Humans Inject Knowledge into Machine Learning Workflows through Visual Analytics

    Jul 1, 2026Yiwen Xing, Philip Beaucamp, Joyraj Chakraborty +6Visual AnalyticsMachine Learning

  23. Spectroscopy Analysis with Machine Learning Regression for the Quantification of Carbon and Nitrogen Contents in Inceptisol and Oxisol Soil Types: Comparing Different Preprocessing and Validation methods as well as Feature Importance

    Jul 1, 2026Vinicius Herique Kieling, Guilherme Macedo Baggio, Felipe Augusto Bueno Rossi +4Soil Moisture EstimationSoil

  24. From Structural Equation Modelling to Double Machine Learning: Robustness Analysis for Survey-Based Research

    Jul 1, 2026Ka Ching Chan, Qiana Liu, Sanjib Tiwari +1Structural Equation ModelsSemiparametric Framework

  25. Predicting Lethal Outcome (Cause) And Understanding Key Biomarkers Linked With Acute Myocardial Infarction Using Deep Artificial Neural Network And Ensemble Of Machine Learning Methodologies

    Jul 1, 2026Sagnik GhoshBiomarkerMachine Learning

  26. Comparative Analysis of Machine Learning based Intrusion Detection in Realistic IoT Networks

    Jun 30, 2026Rana Alharbi, Chuadhry Mujeeb AhmedIntrusion DetectionInternet Of Thing

  27. From Failure to Alignment: A Requirements Engineering Framework for Machine Learning Systems

    Jun 30, 2026Amel Bennaceur, Gopi Krishnan Rajbahadur, Prince Mercy +2Requirements EngineeringMachine Learning

  28. Stabilization Learning: A Paradigm Transition Bridging Control Theory and Machine Learning

    Jun 30, 2026Quan QuanVisual ServoingTheoretical Foundations

  29. CryoACE: An Atom-centric Framework for Accurate and Automated Model Building in Cryo-EM

    Jun 30, 2026Minzhang Li, Mingrui Li, Weichen Qin +5Cryo-Electron MicroscopyConformational Ensembles

  30. Explaining Machine Learning and Memorization with Statistical Mechanics

    Jun 30, 2026Robin TheriaultDense Associative MemoryMachine Learning

  31. Usage frequency and application variety of research methods in library and information science: Continuous investigation from 1991 to 2021

    Jun 30, 2026Chengzhi Zhang, Liang Tian, Heting ChuReal Datacite DoisSystematic Study

  32. ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table

    Jun 29, 2026Jacob W. Toney, Samir Darouich, Yiran Wang +3Molecular Property PredictionAtoms

  33. Exploring Differences Between Tabular Enterprise Data and Public Benchmarks

    Jun 29, 2026Myung Jun Kim, Maximilian Schambach, Frank Essenberger +2Tabular DataBenchmark Datasets

  34. Proofs of Ownership for Machine Learning Models

    Jun 29, 2026Ran Canetti, Shafi Goldwasser, Or ZamirZero-Knowledge ProofsProof

  35. Beyond IID: How General Are Tabular Foundation Models, Really?

    Jun 29, 2026Lennart Purucker, Andrej Tschalzev, Nick Erickson +7Tabular Foundation ModelsBenchmark Datasets

  36. Extrapolating from Regularised Solutions for Solving Ill-Conditioned Linear Systems in Machine Learning

    Jun 29, 2026Disha Hegde, Jon Cockayne, Chris. J. OatesRegularization TechniquesDiscrete-Time Linear Systems

  37. AI Training Manager: Bounded Closed-Loop Control of Adaptive Training Recipes

    Jun 29, 2026Anjali Rao, Nikhil Kamalkumar AdvaniModel TrainingMachine Learning

  38. Optimizing Nursing Care Taxi Dispatch Leveraging Integer Linear Programming Solvers and Machine Learning

    Jun 29, 2026Riku Nakao, Akihito Hiromori, Hamada Rizk +1Vehicle Routing ProblemMixed-Integer Programming

  39. Optimizing Expert-Designed Crystal Graph Networks for Band-Gap Prediction with an Autonomous LLM Research Loop

    Jun 29, 2026Chenmu Zhang, Boris I. YakobsonCrystalMle-Bench Lite

  40. Miti360: A Comprehensive Dataset for Improved Reforestation Monitoring

    Jun 28, 2026Cedric Kiplimo, Samuel Mbatia, Ciira wa Maina +2Forest InventoryMachine Learning

  41. Reliability, Faithfulness, and the Limits of Post-hoc Explanations of Opaque Scientific Models

    Jun 28, 2026Nick Oh, Helen JinExplanation FaithfulnessPost-Hoc

  42. Deterministic Decisions for High-Stakes AI. A Zero-Egress Pipeline with the Deployability of RAG and the Accuracy of Machine Learning

    Jun 28, 2026Craig AtkinsonLarge Language Model Decision-MakingOpenai

  43. MLSYSIM: First-Principles Infrastructure Modeling for Machine Learning Systems

    Jun 28, 2026Vijay Janapa ReddiInfrastructureMachine Learning

  44. Machine-learnable Sets

    Jun 27, 2026Veit Elser, Manish Krishan LalMachine LearningBinary

  45. An Integrated Machine Learning and Hierarchical Variance Decomposition Pipeline for Student Performance Prediction and Metacognitive Calibration on Multi-Signal Telemetry

    Jun 27, 2026Gurdeep Singh VirdeeReward-Prediction ErrorLogistic Regression

  46. On design-unbiased algorithmic Machine Learning

    Jun 27, 2026Li-Chun Zhang, Siu-Ming Tam, Luis Sanguiao-Sande +2Machine LearningFinite-Sample

  47. Exploring the Effects of Entanglement on Quantum Machine Learning of Pathogen Epitope-Receptor Binding

    Jun 27, 2026Aspen Erlandsson Brisebois, Luis Pablo Gonzalez Dominguez, Shivansi Prajapati +8Quantum Machine LearningHybrid Quantum Neural Networks

  48. Replica Symmetry Breaking and Algorithmic Thresholds in Empirical Risk Minimization under Multi-Index Model

    Jun 26, 2026Andrea Montanari, Kangjie ZhouEmpirical Risk MinimizationOptimal Sample Complexity

  49. The Remittance Blueprint: Data-driven Intelligence for Sri Lanka

    Jun 26, 2026Dhinanjaya Fernando, Dinura Ginige, Kalana Lakshan +6Sri LankaData-Driven

  50. Fair Classification with Efficient and Post-hoc Controllable Fairness-Accuracy Trade-off

    Jun 26, 2026Maaya Sakata, Kazuto FukuchiFairness-Aware LearningPost-Hoc

  51. RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data

    Jun 26, 2026Xuan Zhao, Lena Krieger, Zhuo Cao +3Fairness AuditsCounterfactual Learning

  52. Decision-Aligned Evaluation of Uncertainty Quantification

    Jun 25, 2026Annika Schneider, Tommy Rochussen, Joshua Stiller +1Evaluation MetricsMachine Learning

  53. Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients

    Jun 25, 2026Abrar Alotaibi, Lujain Alnajrani, Nawal Alsheikh +5CholangiocarcinomaMachine Learning

  54. Lacuna: A Research Map for Machine Learning

    Jun 24, 2026Martin Weiss, Miles Q. Li, Alejandro H. Artiles +4Machine Learning

  55. Interpreting "Interpretability" and Explaining "Explainability" in Machine Learning in Physics

    Jun 24, 2026Rikab Gambhir, Luisa Lucie-Smith, Jesse ThalerModel InterpretabilityExplainability

  56. Statistical and Structural Approaches to Algorithmic Fairness

    Jun 24, 2026Antonio FerraraMinorityMachine Learning

  57. Predicting Fruit Quality with a Hybrid Machine Learning and Image Processing Approach

    Jun 24, 2026Amir Reza Hashemi, Shahram AmiriFruitImage Processing

  58. DFMU: Data-Frugal Machine Unlearning

    Jun 24, 2026Sajith U, Prateek KeserwaniMachine UnlearningSeveral Approximate Unlearning Strategies

  59. Certification of Machine Learning Models via Directional Sharpness

    Jun 23, 2026Gefei Tan, Adria Gascon, Sarah Meiklejohn +1CertificationSharpness-Aware Minimization

  60. ConSolv: Solvent-Conditional Machine Learning Implicit Solvent Potential

    Jun 23, 2026Linying Zhang, Julija ZavadlavPrevious Machine-Learning-Based Implicit SolventMachine Learning