Semi-Supervised Anomaly Detection

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16 papers3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. Acoustic Anomaly Detection for Early Identification of Drill Jamming

    Nov 5, 2026Maria Beatriz Silva, Lucas Edson Silva de Araújo, Sergio F. Chevtchenko +3Fault DetectionIndustrial Anomaly Detection

    Federal Rural University of Pernambuco, Recife, Brazil · ICNS, Western Sydney University, Penrith, Australia

  2. Formal Specifications with Data-Driven Signal Analysis

    Oct 28, 2026Roderick Bloem, Benedikt Maderbacher, Cristinel Mateis +3Fault DetectionAnomaly Detection

    Graz University of Technology, Graz, Austria · CISPA Helmholtz Center for Information Security, Saarbrücken, Germany · AIT Austrian Institute of Technology, Vienna, Austria +1

  3. MS2CAST: A Video Anomaly Detection Framework via Multi-Scale Spatial Cross-Attention and Efficient Spatiotemporal Networks

    Oct 21, 2026Ali Safaei, Mohammad KazemiVideo Anomaly DetectionSemi-Supervised Anomaly Detection

    Department of Computer Science, University of Milan, Milan, Italy · Department of Electrical Engineering, University of Isfahan, Isfahan, Iran

  4. InCLAD: A Continual Learning Benchmark for Industrial Visual Anomaly Detection

    Oct 10, 2026Łukasz Marcjan, Dorota Wilk-Kołodziejczyk, Roberto CorizzoTask-Incremental LearningContinual Anomaly Detection

    AGH University of Krakow, Krakow, Poland · American University, Washington, DC, USA

  5. No Scale Left Behind: Multi-Scale Autoencoder with Bi-directional Attention for Time Series Anomaly Detection

    Sep 29, 2026Jiaheng Guo, Haochen Zhang, Yu-Chao Huang +3Reconstruction-Based Anomaly DetectionAttention Mechanisms

    UNITES Lab, University of North Carolina at Chapel Hill

  6. Post-Anomaly Detection Inference for Deep SVDD

    Sep 29, 2026Cao Le Cong Thanh, Dang Quang Vinh, Vo Nguyen Le DuySemi-Supervised Anomaly DetectionAnomaly Detection

    University of Information Technology, Ho Chi Minh City, Vietnam · Vietnam National University, Ho Chi Minh City, Vietnam

  7. Interpretable Multi-Hypersphere Deep Anomaly Detection for Open-set Supervised Anomaly Detection

    Sep 19, 2026Zhiji Yang, Fangyong Wang, Yue Li +2Semi-Supervised Anomaly DetectionAnomaly Detection

    School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, 650221, China · Beijing National Center for Applied Mathematics, Capital Normal University, Beijing, 100048, China

  8. Extreme Volatility Warning under Label Scarcity via Multi-Source Anomaly Fusion

    Jul 26, 2026Jin Qian, Zhangzhi Xiong, Mingrui Li +1Multimodal Anomaly DetectionSemi-Supervised Anomaly Detection

    ShanghaiTech University, Shanghai, China

  9. Extended Hybrid Timed Petri Nets with Semi-Supervised Anomaly Detection for Switched Systems, Modelling and Fault Detection

    Apr 5, 2026Fatiha Hamdi, Abdelhafid Zeroual, Fouzi HarrouSemi-Supervised Anomaly DetectionFault Detection

    Department of Electronics, Faculty of technology, LAAAS Laboratory, Batna 2 University, Batna, Algeria. · Department of Electrical Engineering, Faculty of Science and Applied Sciences, Larbi Ben M’hidi University, Oum El Bouaghi, Algeria. · Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.

  10. Balancing Performance and Fairness in Explainable AI for Anomaly Detection in Distributed Power Plants Monitoring

    Mar 19, 2026Corneille Niyonkuru, Marcellin Atemkeng, Gabin Maxime Nguegnang +1Semi-Supervised Anomaly DetectionAnomaly Detection

    African Institute for Mathematical Sciences (AIMS), Kigali, Rwanda. · Department of Mathematics, Rhodes University, PO Box 94, Makhanda, 6140, South Africa. · National Institute for Theoretical and Computational Sciences (NITheCS), Stellenbosch, 7600, South Africa. +2

  11. Interpretable Maximum Margin Deep Anomaly Detection

    Mar 7, 2026Zhiji Yang, Mei Huang, Xinyu Li +3Semi-Supervised Anomaly DetectionAnomaly Detection

    the School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming 650221, China · the Academy for Multidisciplinary Studies, Capital Normal University, Beijing 100048, China

  12. Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision

    Feb 23, 2026Yuxing Tian, Yiyan Qi, Fengran Mo +3Semi-Supervised Anomaly DetectionGraph-Based Anomaly Detection

    Universit´e de Montréal · International Digital Economy Academy (IDEA) · McGill University +1

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

    Nov 5, 2025Gaia Grosso, Sai Sumedh R. Hindupur, Thomas Fel +3Kernel MethodsSemi-Supervised Anomaly Detection

    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

  14. Monotonic anomaly detection

    Oct 30, 2024Oliver Urs Lenz, Matthijs van LeeuwenIsolation ForestSemi-Supervised Anomaly Detection

    Department of Statistics, Data Science and Modelling, National Institute for Public Health and the Environment, The Netherlands · Leiden Institute of Advanced Computer Science, Leiden University · Department of Applied Mathematics, Computer Science and Statistics, Ghent University

  15. Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data

    May 29, 2024Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai +1Weakly Supervised LearningSemi-Supervised Anomaly Detection

    NTT

  16. Generative Semi-supervised Graph Anomaly Detection

    Feb 19, 2024Hezhe Qiao, Qingsong Wen, Xiaoli Li +2Graph-Based Anomaly DetectionSemi-Supervised Anomaly Detection

    School of Computing and Information Systems, Singapore Management University · Squirrel AI · Institute for Infocomm Research, A*STAR, Singapore +1