Classification

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Overview

Classification studies how to assign inputs such as images, text, signals, graphs, and tabular records to discrete categories, supporting decisions across science and everyday systems. Methods range from linear and kernel discriminants, trees and ensembles, and deep neural networks to pretrained language and vision models, using supervised, few-shot, semi-supervised, and in-context learning. Current work also addresses class imbalance, label noise, distribution shift, open-set recognition, calibration, abstention, and structured labels through robust losses, uncertainty estimates, retrieval, and hierarchical or multimodal models. A central tension is that high benchmark accuracy can conceal shortcut reliance, poor calibration, subgroup failures, or weak transfer, so evaluation increasingly tests reliability, error costs, and performance under deployment shifts.

Latest papers

CardsList

413 papers54 papers in the last four weeks, down 4% on the four weeks before. 0.3% of all new papers.

  1. DuSCN-FusionNet: An Interpretable Dual-Channel Structural Covariance Fusion Framework for ADHD Classification Using Structural MRI

    Mar 27, 2026Qurat Ul Ain, Alptekin Temizel, Soyiba JawedBrain Disorder ClassificationClassification

    Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad 44000, Pakistan · Graduate School of Informatics, Middle East Technical University, 06800, Ankara, Turkey

  2. D-GATNet: Interpretable Temporal Graph Attention Learning for ADHD Identification Using Dynamic Functional Connectivity

    Mar 27, 2026Qurat Ul Ain, Alptekin Temizel, Soyiba JawedDynamic Functional ConnectivityClassification

    Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad 44000, Pakistan · Graduate School of Informatics, Middle East Technical University, 06800, Ankara, Turkey

  3. Evaluating Synthetic Images as Effective Substitutes for Experimental Data in Surface Roughness Classification

    Mar 26, 2026Binwei Chen, Huachao Leng, Chi Yeung Mang +5Synthetic Data EvaluationSynthetic Data Augmentation

    Division of Science, Engineering and Health Studies, The School of Professional Education and Executive Development, The Hong Kong Polytechnic University, Hong Kong, China · State Key Laboratory of Ultra-precision Machining Technology, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China · Department of Science and Environmental Studies, The Education University of Hong Kong, Hong Kong, China

  4. Decoding Market Emotions in Cryptocurrency Tweets via Predictive Statement Classification with Machine Learning and Transformers

    Mar 26, 2026Moein Shahiki Tash, Zahra Ahani, Mohim Tash +3ClassificationText Classification

    Centro de Investigación en Computación, Instituto Politécnico Nacional, Ciudad de México, México · Management and Economics Faculty, University of Sistan and Baluchestan, Zahedan, Iran · Universidad Panamericana, Augusto Rodin, Ciudad de México, México

  5. Enhancing Structured Meaning Representations with Aspect Classification

    Mar 25, 2026Claire Benét Post, Paul Bontempo, August Milliken +6ClassificationSemantic Parsing

    University of Colorado, Boulder

  6. Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection

    Mar 24, 2026Rodrigo F. L. Lassance, Jasper De BockAdversarial RobustnessClassification

    Foundations Lab for imprecise probabilities (FLip), Ghent University, Ghent, Belgium · Statistics Dept., Federal University of São Carlos, São Carlos, São Paulo, Brazil · Institute of Mathematic and Computer Sciences, University of São Paulo, São Carlos, São Paulo, Brazil

  7. Physical Knot Classification Beyond Accuracy: A Benchmark and Diagnostic Study

    Mar 24, 2026Shiheng Nie, Yunguang YueClassificationFine-Grained Image Classification

    College of Science, Shihezi University, Shihezi 832003, Xinjiang, China

  8. Where Experts Disagree, Models Fail: Detecting Implicit Legal Citations in French Court Decisions

    Mar 24, 2026Avrile Floro, Tamara Dhorasoo, Soline Pellez +1Annotator DisagreementLegal Citation Verification

    UPHF · Télécom Paris, Institut Polytechnique de Paris · Université Polytechnique Hauts-de-France

  9. Computationally lightweight classifiers with frequentist bounds on predictions

    Mar 23, 2026Shreeram Murali, Cristian R. Rojas, Dominik BaumannClassificationUncertainty Quantification

    Cyber-physical Systems Group, Aalto University · Decision and Control Systems, KTH Royal Institute of Technology

  10. A Large-Scale Remote Sensing Dataset and VLM-based Algorithm for Fine-Grained Road Hierarchy Classification

    Mar 22, 2026Ting Han, Xiangyi Xie, Yiping Chen +5Remote Sensing VLMsClassification

    School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai, 519082, China · Transport Bureau of Nanhai District, Foshan, 528200, China · Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China, Chengdu, 611731, China +2

  11. Exponential Family Discriminant Analysis: Generalizing LDA-Style Generative Classification to Non-Gaussian Models

    Mar 21, 2026Anish LakkapragadaExponential FamilyClassification

    Yale University, New Haven, CT 06511

  12. Binary Classification from Coupled Pairwise Labels

    Mar 20, 2026Tomoya Tate, Kosuke Sugiyama, Masato UchidaPairwise ComparisonBinary Classification

    Waseda University, Tokyo, Japan

  13. Smartphone-Based Identification of Unknown Liquids via Active Vibration Sensing

    Mar 20, 2026Yongzhi HuangClassification

    Information Hub, Data Science and Analytics (DSA) Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

  14. Interpretable liquid crystal phase classification via two-by-two ordinal patterns

    Mar 19, 2026Leonardo G. J. M. Voltarelli, Natalia Osiecka-Drewniak, Marcin Piwowarczyk +4ClassificationMaterials Science

    Departamento de Física, Universidade Estadual de Maringá, Maringá, PR 87020-900, Brazil · The Henryk Niewodniczański Institute of Nuclear Physics, Polish Academy of Sciences, E. Radzikowskiego 152, 31-342 Kraków, Poland · Departamento de Física, Universidade Tecnológica Federal do Paraná, Apucarana, PR 86812-460, Brazil +4

  15. Hardness of High-Dimensional Linear Classification

    Mar 19, 2026Alexander Munteanu, Simon Omlor, Jeff M. PhillipsLinear ClassificationClassification

    TU Dortmund, Germany · University of Utah, UT, USA

  16. Cross-Modal Rationale Transfer for Explainable Humanitarian Classification on Social Media

    Mar 19, 2026Thi Huyen Nguyen, Koustav Rudra, Wolfgang NejdlClassificationMultimodal Classification

    L3S Research Center, Leibniz University Hannover, Hannover, Germany · Indian Institute of Technology Kharagpur, Kharagpur, India

  17. Enhancing classification accuracy through chaos

    Mar 16, 2026Panos StinisClassificationMulticlass Classification

    Advanced Computing, Mathematics and Data Division, Pacific Northwest National Laboratory, Richland WA 99354

  18. Fine-tuning RoBERTa for CVE-to-CWE Classification: A 125M Parameter Model Competitive with LLMs

    Mar 16, 2026Nikita MosievskiyClassificationCybersecurity

    Independent Researcher

  19. SortScrews: A Dataset and Baseline for Real-time Screw Classification

    Mar 13, 2026Tianhao Fu, Bingxuan Yang, Juncheng Guo +2Industrial AutomationClassification

    University of Toronto, Toronto, ON, Canada · Vector Institute, Toronto, ON, Canada · Project Neura, Toronto, ON, Canada +2

  20. Wear Classification of Abrasive Flap Wheels using a Hierarchical Deep Learning Approach

    Mar 13, 2026Falko Kähler, Maxim Wille, Ole Schmedemann +1Hierarchical ClassificationClassification

    Hamburg University of Applied Technology, Institute of Aircraft Production Technology, 21073 Hamburg, Germany.

  21. Deep Learning Based Estimation of Blood Glucose Levels from Multidirectional Scleral Blood Vessel Imaging

    Mar 13, 2026Muhammad Ahmed Khan, Manqiang Peng, Ding Lin +1Medical ImagingClassification

    Changsha Aier Eye Hospital, South Furong Rd, Changsha, Hunan, China. · Aier Eye Hospital Group Co., Ltd, South Furong Rd, Changsha, Hunan, China. · Central South University AIER Eye Institute of Ophthalmology, Changsha, Hunan, China. +2

  22. Chemical Reaction Networks Learn Better than Spiking Neural Networks

    Mar 12, 2026Sophie Jaffard, Ivo F. SbalzariniClassificationDynamical Systems

    Max Planck Institute of Molecular Cell Biology and Genetics Center for Systems Biology Dresden Dresden, Germany · Dresden University of Technology, Faculty of Computer Science Max Planck Institute of Molecular Cell Biology and Genetics Center for Systems Biology Dresden Dresden, Germany

  23. Multimodal classification of Radiation-Induced Contrast Enhancements and tumor recurrence using deep learning

    Mar 12, 2026Robin Peretzke, Marlin Hanstein, Maximilian Fischer +15Multimodal ClassificationClassification

    Deutsches Krebsforschungszentrum (DKFZ), Division of Medical Image Computing, Heidelberg, Germany · Medical Faculty, Heidelberg University, Heidelberg, Germany · Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany +8

  24. Large Language Models for Biomedical Article Classification

    Mar 12, 2026Jakub Proboszcz, Paweł CichoszFew-Shot Text ClassificationLarge Language Model-Based Text Classification

    Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland

  25. Prediction of Grade, Gender, and Academic Performance of Children and Teenagers from Handwriting Using the Sigma-Lognormal Model

    Mar 12, 2026Adrian Iste, Kazuki Nishizawa, Chisa Tanaka +4Educational AssessmentEducational Data Mining

    Osaka Metropolitan University, Osaka, Japan · University of Applied Sciences and Arts Western Switzerland, Fribourg, Switzerland · University of Fribourg, Fribourg, Switzerland +1

  26. Cross-Species Transfer Learning for Electrophysiology-to-Transcriptomics Mapping in Cortical GABAergic Interneurons

    Mar 11, 2026Theo Schwider, Ramin RamezaniClassificationTransfer Learning

  27. A Joint Neural Baseline for Concept, Assertion, and Relation Extraction from Clinical Text

    Mar 8, 2026Fei Cheng, Ribeka Tanaka, Sadao KurohashiClinical Information ExtractionRelation Extraction

    Kyoto University · Tokyo University of Technology · National Institute of Informatics

  28. Discovering the Hidden Role of Gini Index In Prompt-based Classification

    Mar 7, 2026Ruixi LinClassification

    Independent Researcher

  29. Fairness May Backfire: When Leveling-Down Occurs in Fair Machine Learning

    Mar 6, 2026Yi Yang, Xiangyu Chang, Pei-yu ChenAlgorithmic FairnessGroup Fairness

    Department of Information Systems, Arizona State University · Department of Information Systems and Intelligent Business, Xi’an Jiaotong University

  30. Validation of a Small Language Model for DSM-5 Substance Category Classification in Child Welfare Records

    Mar 6, 2026Brian E. Perron, Dragan Stoll, Bryan G. Victor +3ClassificationSmall Language Models

    School of Social Work, University of Michigan · Institute of Psychology and Education, Ulm University, Germany · School of Social Work, ZHAW Zurich University of Applied Sciences, Switzerland +1