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13 papers in the last four weeks, up 333% on the four weeks before. 0.1% of all new papers.

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  1. Technical Report on the Turba Fertilizer Machine Learning Stack in Morocco

    Oct 5, 2026Abdelghani Belgaid, Zakaria Mahmoud, Fahd Chibani +3Random ForestMle-Bench Lite

    Turba Open Lab

  2. The Blind Spot Paradox: When Adaptive Classifiers Defeat Drift Detectors

    Oct 5, 2026Raphaël Minato, Fabrice Popineau, Arpad Rimmel +1Change-Point DetectionRandom Forest

    Université Paris-Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique, 91190, Gif-sur-Yvette, France

  3. FairRSFM: A Biome-Aware Benchmark and Debiasing Framework for Remote Sensing Foundation Models

    Oct 5, 2026Md Aminur Hossain, Omkumar Vaghasiya, Rajeev Ranjan Dwivedi +2Remote SensingGeospatial Foundation Models

    Space Applications Centre, ISRO, Ahmedabad, India · Indian Institute of Science Education and Research Bhopal, Bhopal, India · Centre of Studies in Resources Engineering (CSRE), Indian Institute of Technology Bombay, India

  4. Jev-IDS: System One Models for Network Intrusion Detection

    Oct 1, 2026Paulo Severo, Silvio E. Quincozes, Amanda DiasIntrusion DetectionRandom Forest

    Graduate Program in Software Engineering, Federal University of Pampa (UNIPAMPA), Alegrete, Rio Grande do Sul, Brazil

  5. Hybrid Methods for Robust Tabular Data Imputation

    Sep 30, 2026Jinwei Li, Michelle Bruch, Daniel TenbrinckImputationRandom Forest

    Department of Data Science Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen, Germany

  6. Detail in Context: A Dual-Scale Machine Learning Framework for Mycosis Fungoides Detection

    Sep 29, 2026Mohamed Hazem, Tarek Waleed, Omar Khaled +8MelanomaCancer Detection

    Faculty of Engineering, Cairo University, Giza, Egypt · Dermatology Department, Faculty of Medicine, Cairo University, Cairo, Egypt

  7. TNF based Spectral Embedding for Effective Application of Supervised Machine Learning Techniques in Automobile Insurance Fraud Detection

    Sep 27, 2026Rohan Yashraj Gupta, Lalith Srikanth Chintalapati, Satya Sai Mudigonda +2Fraud DetectionRandom Forest

    Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Vidyagiri, Puttaparthi, Andhra Pradesh, India.

  8. Feature Space Selection and Heterogeneous Effect Estimation for Blood-Brain Barrier Permeability: A Random Forest to the Generalized Random Forest Pipeline

    Sep 24, 2026Tshemollo Rapolai, Seite Makgai, Mohammad ArashiFeature SelectionRandom Forest

    Department of Statistics, University of Pretoria, Pretoria, South Africa · Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, P.O. Box 1159, Mashhad, 91775, Iran

  9. Untangling the Geometry and Speed for RF Sensing Spectrograms

    Sep 22, 2026Mert Torun, Darius Cuenca, Yasamin MostofiDoppler Velocity LogSpeeds

    Department of Electrical and Computer Engineering, University of California, Santa Barbara

  10. Beyond Point Prediction: Artificial Representative Trees with Uncertainty

    Sep 21, 2026Lea L. Mairhöfer, Silke Szymczak, Björn-Hergen Laabs +1Random ForestPredictive Uncertainty

    Institute of Medical Biometry and Statistics, University of Luebeck, Ratzeburger Allee 160 V24, 23562, Lübeck, Germany. · Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany. · CAIMed, Lower Saxony Center for Artificial Intelligence and Causal Methods in Medicine, Göttingen, Germany. +1

  11. A multi-temporal dataset for mapping burned areas in the Brazilian Cerrado using time series of remote sensing imagery

    Sep 20, 2026Alisson Cleiton de Oliveira, Thales Sehn KörtingRandom ForestMultiple Satellite Systems

    Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, SP, Brazil

  12. Splitting the Difference: Interpretable Causal Forests for Treatment Effect Heterogeneity and Bias

    Sep 15, 2026Nicolas Alexander Ihlo, Merle BehrHeterogeneous Treatment EffectsRandom Forest

    Faculty of Informatics and Data Science University of Regensburg, Germany

  13. Lightweight LiDAR-Based Cone Detection Framework Using Random Forest for Formula Student Driverless

    Sep 12, 2026Márk Mező-Kerekes, Péter Praksz, Chang LiuLidarAutonomous Driving Perception

    Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111 Budapest, Hungary · Machine Perception Research Laboratory, HUN-REN Institute for Computer Science and Control (SZTAKI), Kende u. 13–17, H-1111 Budapest, Hungary

  14. An AI-Powered Culturally Aware Chatbot for Stress Detection and Wellness Support among Pakistani University Students Using NLP and Machine Learning

    Sep 12, 2026Muhammad Fahad Bashir, Muhammad AfzalWell-BeingStress

    Department of Computer Science & Information Technology, Ghazi University Dera Ghazi Khan, Pakistan

  15. Local Robustness Quantification for Naive Bayes Classifiers and Generative Forests: a General Approach

    Sep 11, 2026Adrián Detavernier, Jasper De BockRobustness VerificationRandom Forest

    Foundations Lab for imprecise probabilities Ghent University Ghent, Belgium

  16. KODAMA: Multimodal Digital Twin Reconstruction for Urban RF Propagation Modelling

    Sep 7, 2026Maximiliano Wardle, A. Ryo KoblitzRadio Map EstimationCognitive Digital Twins

    Nokia Bell Labs · University of York

  17. Tree species mapping in Denmark: A comparison of spectral-temporal features with geospatial foundation model embeddings

    Sep 3, 2026Alkiviadis Koukos, Spyros Kondylatos, Thomas Nord-Larsen +3Forest BiomassGeospatial Foundation Models

    EO Centre of Excellence, DHI, Agern Alle 5, Hørsholm, 2970, Denmark · Department of Geoscience and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, Copenhagen, 1350, Denmark · ceometrics, Strandvejen 273C, Charlottenlund, 2920, Denmark

  18. Random Forest-Informed Cellular Automaton for Large-Scale Wildfire Spread Modelling

    Sep 1, 2026Siyu Chen, Esha Saha, Hao WangWildfire PredictionRandom Forest

  19. Random Hazard Forests

    Aug 21, 2026Hemant Ishwaran, Eileen M. Hsich, Udaya B. Kogalur +1Time-To-Event DataRandom Forest

    Division of Biostatistics, Department of Public Health Sciences, Miller School of Medicine, University of Miami · Heart and Vascular Institute, Cleveland Clinic; Cardiology Division, Intermountain Health · Kogalur & Company, Inc. +1

  20. Trajectory Design and Budgeted Querying for Digital Twin Calibration

    Aug 9, 2026Vladyslava Spitkovska, Dmytro KuzmenkoTrajectory GenerationTwins

    Department of Mathematics, National University of Kyiv-Mohyla Academy, Kyiv, Ukraine · Department of Multimedia Systems, National University of Kyiv-Mohyla Academy, Kyiv, Ukraine · Department of Computer Science, University of Turin, Turin, Italy

  21. FSTC-Encoder: Feature--Spatial--Temporal Correlation Learning for Generalizable RF Sensing

    Aug 9, 2026Jing Wang, Zhu Wang, Changlong Cheng +2Spatial EncodingTwo-Level Spatial-Frequency Fusion Strategy

    Northwestern Polytechnical University

  22. Uncertainty-Aware Ensemble Deep Randomized Neural Networks for Classification

    Aug 7, 2026M. Sajid, A. Quadir, A. Rahaman +2Random ForestUncertainty-Aware Classification

    Indian Institute of Technology Indore, Simrol, Indore, India · Qatar University, Qatar

  23. Surv-IPTB: An Attention-Based Model for Estimating Individual Probability of Treatment Benefit with Survival Data

    Aug 6, 2026Lev V. Utkin, Stanislav K. Kogan, Andrei V. KonstantinovSurvival AnalysisTime-To-Event Data

    Higher School of Artificial Intelligence Technologies Peter the Great St.Petersburg Polytechnic University, St.Petersburg, Russia

  24. ShielDroid: A Hybrid Approach Integrating Machine and Deep Learning for Android Malware Detection

    Aug 4, 2026Md Faisal Ahmed, Zarin Tasnim Biash, Abu Raihan Shakil +4MalwareDevice

    Department of Computer Science and Engineering Brac University Dhaka, Bangladesh

  25. Explainable Hybrid Feature Selection for Intrusion Detection in Internet of Medical Things Environments

    Aug 1, 2026Amira Berrezzek, Hayet Djellali, Giulio Mallardi +1Intrusion DetectionFeature Importance

    Computer Science Dept. Badji Mokhtar University Annaba, Algeria · Computer Science Dept. University of Bari Bari, Italy

  26. Analytical and Bootstrap Confidence Intervals of Double Machine Learning: Simulation studies and an application to rural-urban difference in obesity prevalence

    Jul 31, 2026Haozheng Xu, Siyuan Ma, Qingyan XiangConfidence IntervalsPrevalence

    Department of Biostatistics, Vanderbilt University Medical Center

  27. Simulative Anomaly Detection using 2D Tomography

    Jul 30, 2026Moti Ben-Harush, Nimrod Teneh, Gregory LukovskyCone-Beam Computed TomographyGraph Anomaly Detection

    Elta Systems Ltd., Ashdod 7710202, Israel

  28. Feature Bagging Provides Stability

    Jul 29, 2026Yuheng Ma, Qiang SunTree EnsemblesRandom Forest

    School of Statistics, East China Normal University · University of Toronto · MBZUAI

  29. Mind the Missing Split: Resolving Feature Heterogeneity in Swarm Learning with Random Forests

    Jul 28, 2026Mohammad Tajabadi, Dominik HeiderRandom ForestHeterogeneity

    Institute of Medical Informatics, University of Münster, Münster, Germany

  30. Interpretable Column Annotation with LLM-Symbolized Decision Process Materialization

    Jul 28, 2026Mengqi Wang, Jianwei Wang, Qing Liu +5InterpretabilityAnnotations

    UNSW Sydney · University of New South Wales Sydney, NSW, Australia · Data61, CSIRO +4

  31. Distributional Split Criteria for Random Forests: Extensions, Shrinkage, and the Robustness of Mean Splitting

    Jul 26, 2026Silas KoemenRandom ForestForests

  32. Random Forest-Based Prediction of Bone Volume Fraction and Fracture Position from S-Parameters

    Jul 26, 2026Jianhe Li, Jinsui Meng, Yida Zhao +3Random ForestRandom

    School of Electronics and Information Engineering, Beihang University

  33. Longitudinal Random Forests for Sparse and Irregular Response Trajectories

    Jul 23, 2026Yangsheng Wang, Xiaotian Dai, Haoda Fu +1CovariatesLongitudinal Data

    Department of Mathematics and Statistics, Binghamton University, Binghamton, New York 13902, USA · Department of Mathematics, Illinois State University, Normal, Illinois 61790, USA · Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA

  34. Shifting from Discrete to Continuous Reference Data: QSM-Derived Horizontal Tree Biomass Distribution for Deep Learning Biomass Estimation

    Jul 6, 2026Nils Griese, Christoph Kleinn, Nils NölkeBiomassRandom Forest

    Department of Forest Inventory and Remote Sensing, University of Göttingen, Göttingen, Germany

  35. Predictive Conformal Slip Monitoring: An Empirical Evaluation of Rolling Split Conformal Prediction for Pre-Incident Traction Loss Detection

    Jul 2, 2026Varshith Roy KotlaSlipsenseOnline Conformal Prediction

    Department of CSE, Faculty of Science and Technology, The ICFAI Foundation for Higher Education, Hyderabad, India

  36. SemiScope: Disentangling Classifier Tuning and Joint Optimization in Semi-Supervised Security Classification

    Jun 30, 2026Rui Shu, Tianpei Xia, Jingzhu HeSemi-Supervised LearningClassifier

    North Carolina State University · ShanghaiTech University

  37. FLORA: A deep learning approach to predict forest attributes from heterogeneous LiDAR data

    Jun 30, 2026Emilie Vautier, Clément Mallet, Cédric VegaForest BiomassRandom Forest

    Univ Gustave Eiffel, Géodata Paris, IGN, LASTIG, F-77454 Marne-la-Vallée, France · Univ Gustave Eiffel, Géodata Paris, IGN, LIF, F-54000, Nancy, France · Université de Lorraine, Géodata Paris, IGN, LIF, F-54000 Nancy, France

  38. A Stationary-Distribution Theory for Triplet-Based Plateau Search in Random Forest Ensemble-Size Selection

    Jun 29, 2026Andrey A. Dukhovny, Andrey M. LangeRandom ForestTrees

    Sberbank Moscow 117997, Russia · Skolkovo Institute of Science and Technology (Skoltech), Moscow 121205, Russia · Federal Research Center “Computer Science and Control” of Russian Academy of Sciences (FRC CSC RAS), Moscow 119333, Russia

  39. On design-unbiased algorithmic Machine Learning

    Jun 27, 2026Li-Chun Zhang, Siu-Ming Tam, Luis Sanguiao-Sande +2Finite-SampleSelection Bias

    Department of Social Statistics and Demography, Univ. of Southampton, Highfield SO17 1BJ, Southampton, UK. · Statistisk sentralbyrå · Australian Bureau of Statistics +2

  40. Are Tabular Foundation Models Robust to Realistic Query Distribution Shifts in Microbiome Data?

    Jun 23, 2026Giulia Perciballi, Ahmad Fall, Federica Granese +2Tabular Foundation ModelsBacterial Colony Counting

    IRD, Sorbonne Université, Unité de Modélisation Mathématique et Informatique des Systèmes Complexes (UMMISCO), Paris, France · Inria, CNRS, I3S, Université Côte d’Azur, Valbonne, France · INSERM, Nutrition et Obésités; Approches Systémiques, NutriOmique, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France

  41. Quant Convergence: Bridging Classical Value Investing and Modern Factor Models for Systematic Equity Selection

    Jun 23, 2026Augusto Eiji Yamazaki, Hugo Garrido-Lestache BelinchonValueVolatility

    Milwaukee School of Engineering Milwaukee, WI US

  42. DeepForestVisionV2: Ecology-Driven Taxonomy Expansion for Camera-Trap Monitoring in African Tropical Forests

    Jun 18, 2026Hugo Magaldi, Theau d'Audiffret, Etienne Francois Akomo-Okoue +24Roadside CamerasForests

    UMR7206 Eco-Anthropologie, MNHN, Paris, France; One Forest Vision initiative · Centre National de la Recherche Scientifique et Technologique, Libreville, Gabon · Institut de Recherche en Ecologie Tropicale, Libreville, Gabon +13

  43. Leveraging Physiological Signals to Predict Exam Outcomes with Machine Learning

    Jun 12, 2026Lala Yamazaki, Ramchandra RimalPhysiological DataPhysiological Signals

    Department of Mathematical Sciences, Middle Tennessee State University, 1301 E Main St, Murfreesboro, 37132, TN, USA.

  44. CRAFTIIF: Cross-Resolution Analytic Four-Type Interpretable Isolation Forest for Multivariate Time Series Anomaly Detection

    Jun 11, 2026William SmitsTime-Series Anomaly DetectionMultivariate Time-Series

    Avathon, Austin, TX, USA

  45. Data-Driven Runway and Taxiway Exits Prediction of Landing Aircraft: A Case Study at Hartsfield-Jackson Atlanta International Airport

    Jun 9, 2026Alex Porcayo, Yutian Pang, Maria Thomas +1Air Traffic ControlAerial Navigation

    Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, 78712, TX, USA

  46. Correcting Variable Importance Scored by Random Forests

    Jun 9, 2026Guancheng Zhou, Haiping Xu, Jason Liu +1Feature ImportanceRandom Forest

    Mathematics and Data Science University of Massachusetts, Dartmouth, MA · Computer and Information Science University of Massachusetts, Dartmouth, MA · The Rivers School, Weston, MA

  47. SHIELD-IDS: Structurally Heterogeneous Ensemble with Integrated Layered Defense for Intrusion Detection Systems

    Jun 5, 2026Maryam Zaman, Muhammad Khuram ShahzadIntrusion DetectionDistributed Denial-Of-Service

    School of Electrical Engineering and Computing(SEECS) · 2National University of Sciences and Technology, Islamabad, Pakistan

  48. Varifold Moment Invariants for Sustainable and Explainable Contour Feature Extraction

    Jun 5, 2026G. Longari, J. -C. Alvarez Paiva, A. B. TumpachContoursFeature Extraction

  49. Biomazon: A Multimodal Dataset for 3D Forest Structure and Biomass Modeling in the Amazon Basin

    Jun 3, 2026Sayan Mandal, Rocco Sedona, Simon Besnard +4BiomassForests

    Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, 52428 Jülich, Germany · School of Engineering and Natural Sciences (SENS), University of Iceland, 102 Reykjav´ık, Iceland · Global Land Monitoring Group, GFZ Helmholtz Centre for Geosciences, Potsdam, Germany

  50. How Many Trees in a Random Forest? A Revisited Approach with Plateau Search and Optuna Integration

    Jun 2, 2026Vadim Porvatov, Andrey Dukhovny, Andrey LangeRandom ForestGeneral Grid Search Framework

    Sberbank, Moscow 117997, Russia · Skolkovo Institute of Science and Technology (Skoltech), Moscow 121205, Russia · Federal Research Center ‘‘Computer Science and Control" of Russian Academy of Sciences (FRC CSC RAS), Moscow 119333, Russia

  51. Differing Roles of Leisure and Productivity in GDP - A Machine Learning based comparative analysis of Germany and USA

    May 31, 2026Achintya Ranjan, Uma RanjanEconomiesGerman

    Department of Economics Shiv Nadar University Dadri, India · Faculty of Engineering and Technology Sri Ramachandra Institute of Higher Education and Research Chennai, India

  52. Correcting Split Selection in Online Decision Trees via Anytime-Valid Inference

    May 29, 2026Salim I. Amoukou, Saumitra Mishra, Manuela VelosoDecision TreesRandom Forest

    J.P. Morgan AI Research.

  53. Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data

    May 29, 2026Muhammad Khuram Shahzad, Haseeb Khan, Muhammad Masood Khan +1Intrusion DetectionOversampling

    aSchool of Electrical Engineering and Computer Science (SEECS), NUST, H-12 Campus, Islamabad, Pakistan44000

  54. Towards the automated segmentation of epicardial and mediastinal fats: A multi-manufacturer approach using intersubject registration and random forest

    May 28, 2026É. O. Rodrigues, A. Conci, F. F. C. Morais +1EchocardiographyMulti Organ Computed Tomography Segmentation

    Institute of Computing Universidade Federal Fluminense Niterói, Brazil · Institute of Medicine / Pró-Laudo Universidade Federal do Rio de Janeiro Rio de Janeiro, Brazil · Fac. de Ing. en Sist. Electr. e Ind. Universidad Técnica de Ambato Ambato, Ecuador

  55. CART Random Forests as Sequential Allocation over Random Opportunity Sets: A Stochastic-Control Theory of Ensemble Risk

    May 26, 2026Tianxing Mei, Yingying Fan, Mingming Leng +1Random ForestTarget Risk

    Faculty of Business, Lingnan University · Data Sciences and Operations Department, University of Southern California

  56. FederatedRSF : Federated Random Survival Forests for Partially Overlapping Medical Data

    May 21, 2026Maryam Moradpour, Jonas Harriehausen, Amirreza Aleyasin +3Random ForestMultidisciplinary Tumor Boards

    Institute for Predictive Deep Learning in Medicine and Healthcare, Justus Liebig University Gießen, Germany · Hessian Center for Artificial Intelligence (hessian.AI), Darmstadt, Germany · Department of Medical Informatics, University Medical Center Göttingen, Germany +1

  57. Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees

    May 21, 2026Christian Janos Lebeda, David Erb, Tudor Cebere +1Random ForestTabular Data

    PreMeDICaL, Inria, Université de Montpellier, INSERM, France · Technical University of Munich, Germany · Work done while visiting PreMeDICaL, Inria.

  58. SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection

    May 21, 2026Venkatakrishnan GopalakrishnanFraud DetectionGraph Anomaly Detection

    Independent Researcher Redmond, WA, USA

  59. Algebraic Machine Learning for Small-to-Medium Datasets Is Competitive against Strong Standard Baselines

    May 21, 2026David Mendez, Fernando Martin-Maroto, Gonzalo G. de PolaviejaMle-Bench LiteDense Baseline

    Mathematics of Behavior and Intelligence Lab, Champalimaud Foundation, Lisbon

  60. A Rigorous, Tractable Measure of Model Complexity

    May 20, 2026Oskar Allerbo, Thomas B. SchönStructural ComplexityRandom Forest

    Department of Mathematics KTH Royal Institute of Technology · Department of Information Technology Uppsala University