Abnormality

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4 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. AnomaSense: Anomaly-based Sensor Activation for Fine-Grained Human Activity Recognition

    Sep 24, 2026Xue Wang, Yang ZhangHuman Activity RecognitionInterpretable Anomaly Detection

    University of California, Los Angeles Los Angeles, CA, USA

  2. Seeing Abnormal from Normal: Glomerular Abnormality in Representations of Normal Renal Morphology

    Sep 16, 2026Greta Hasko, Rachit Saluja, Tianyu Shi +11Chronic Kidney DiseaseAbnormality

    Cornell University, Ithaca, NY 14853, USA · Cornell Tech, New York, NY 10044, USA · Sichuan University, Chengdu, 610207, CN +6

  3. Anomaly Detection in General Ledger Data: Results from a Hybrid Approach

    Sep 16, 2026Jan Gronewald, Alexander Michael Rombach, Sebastian Stephan +1AbnormalityModel Auditing

    German Research Center for Artificial Intelligence (DFKI) GmbH

  4. Proximity-CLIP: Text-Guided Semantic Proximity Learning for Zero-Shot Anomaly Detection

    Sep 7, 2026Manwen Yang, Leqian Ding, Yu Guo +1AbnormalityZero-Shot

    School of Software Engineering, Xi’an Jiaotong University · State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University

  5. Open-World Semantic Segmentation with Sensitivity Modeling

    Aug 8, 2026Anastasios Romanos Varvarigos, Nikos Giakoumoglou, Tania StathakiEfficient Semantic SegmentationSemantic Segmentation

    Department of Electrical and Electronic Engineering, Imperial College London, London, UK

  6. Grounded Well-Condition Anomaly Detection on the Volve Field: Constructed Labels, a Baseline, and a Dual-Head Model

    Aug 6, 2026Gospel Bassey, Samuel Bassey, Vincent FakiyesiGraph Anomaly DetectionAbnormality

    Independent Researcher. · College of Engineering, Biochemical Engineering. University of Georgia. · College of Engineering, EETI. University of Georgia.

  7. Unsupervised Consensus-Based Anomaly Detection for Spatiotemporal Malaria Incidence in Ghana

    Jul 23, 2026T. Ansah-Narh, Y. Asare AfraneAccurate Dengue ForecastingAbnormality

    Ghana Space Science and Technology Institute, Ghana Atomic Energy Commission, P. O. Box LG 80, Legon, Accra, Ghana · Department of Medical Microbiology, University of Ghana Medical School, University of Ghana, Accra, Ghana

  8. Physically Consistent Parameter Inference: Transparent Machine Learning Emulation in High Energy Physics and Cosmology

    Jul 14, 2026Jorge Alda, Jacobo Asorey, Alejandro Mir +1Gradient Boosted Decision TreeCosmology

    Dipartimento di Fisica e Astronomia “Galileo Galilei”, Universit`a degli Studi di Padova & INFN Sezione di Padova, via Marzolo 8, 35131 Padova, Italy · Centro de Astropart´ıculas y F´ısica de Altas Energ´ıas (CAPA), Pedro Cerbuna 12 50009 Zaragoza, Spain · Departamento de F´ısica Te´orica, Facultad de Ciencias, Universidad de Zaragoza, Pedro Cerbuna 12, E-50009 Zaragoza, Spain

  9. Anomalous Frame Detection by Grouping Frame Similarities between Two Videos Computed by Vision-Language Model to Extract Expert Workers' Unique Actions

    Jul 12, 2026Ryo Sakai, Yongpeng Cao, Nobutaka KimuraExpert DemonstrationsAbnormality

    Robotics Research Department, Research and Development Group, Hitachi, Ltd., Ibaraki, Japan · School of Engineering, The University of Tokyo, Tokyo, Japan · Next Research Department, Research and Development Group, Hitachi, Ltd., Kokubunji, Japan

  10. Fast and Accurate Anomaly Detection in Time Series

    Jul 2, 2026Emanuele Mele, Massimo Cafaro, Angelo Coluccia +1AbnormalityUnsupervised

    University of Salento, Via per Monteroni, Lecce, 73100, , Italy

  11. What Drives the Inlier-Memorization Effect? A Theory of Outlier Detection via Early Training Dynamics

    Jun 29, 2026Kunwoong Kim, Dongha KimOutliersAbnormality

    KAIST AI · Department of Statistics Center for Data Science Sungshin Women’s University

  12. Redefining Maritime Anomaly Detection via Equation-Grounded Synthetic Anomalies

    Jun 29, 2026Youngseok Hwang, Sungho Bae, Dohun Lee +4AbnormalityAutomatic Identification System

    Seoul National University Seoul, Republic of Korea · KRISO Daejeon, Republic of Korea

  13. Learning a Normal World Model for Few-Shot Boundary-Calibrated Abnormality Detection

    Jun 20, 2026Weizhi Nie, Weichao Liu, Weijie Wang +1Anomaly ScoreAbnormality

    Tianjin University

  14. An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models

    May 31, 2026Mingzhong Sun, Teresa Yeo, Armando Solar-Lezama +1Large Reasoning ModelsBiases

    1NUS Department of Computer Science · 4Singapore-MIT Alliance for Research and Technology (SMART) · 2MIT EECS +1

  15. Automated Detection of Abnormalities in Zebrafish Development

    May 11, 2026Sarath Sivaprasad, Hui-Po Wang, Anna-Lisa Jäckel +4MorphogenesisMicroscopy

    CISPA Helmholtz Center for Information Security, Saarbrücken, Germany · Helmholtz Institute for Pharmaceutical Research Saarland, Saarbrücken, Germany

  16. Learning Unified Representations of Normalcy for Time Series Anomaly Detection

    May 10, 2026Prithul Sarker, Sushmita Sarker, Nicholas G. Murray +1Time-Series Anomaly DetectionGraph Anomaly Detection

    University of Nevada, Reno

  17. Causal Stories from Sensor Traces: Auditing Epistemic Overreach in LLM-Generated Personal Sensing Explanations

    May 9, 2026Shanshan Zhu, Han Zhang, J. Doris Chi +2Explainable AI MethodsLLM Reasoning Strategies

    University of Illinois Urbana-Champaign, USA · University of Chicago, USA · Yale University, New Haven, CT, USA +2

  18. Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies

    Nov 5, 2025Gaia Grosso, Sai Sumedh R. Hindupur, Thomas Fel +3Graph Anomaly DetectionAbnormality

    NSF AI Institute for Artificial Intelligence and Fundamental Interactions, Cambridge, 02139, MA · Laboratory for Nuclear Science, Massachusetts Institute of Technology, Cambridge, 02139, MA · School of Engineering and Applied Sciences, Harvard University, Allston, 02134, MA +1

  19. Detecting and explaining clinical-omics inconsistencies to improve patient cohort stratification: an application to Parkinson's disease

    Jul 4, 2025José A. Pardo-Pérez, Tomás Bernal, Jaime Ñiguez +5Multi-Omic IntegrationDisease

    Department of Information and Communications Engineering, Faculty of Computer Science, University of Murcia, Murcia, Spain. · Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK. · Department of Neurology, Washington University School of Medicine, Saint Louis, MO, 63110, USA. +1