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Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021

22 May 2021

Lingqiao Liu

Papers citing "Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection"

32 / 32 papers shown

Title
Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges Andrea Testa Søren Hauberg Tamim Asfour Leonel Rozo 69 2 0 10 Nov 2025
Deep Learning Approach to Anomaly Detection in Enterprise ETL Processes with Autoencoders Xin Chen Saili Uday Gadgil Kangning Gao Yi Hu Cong Nie 44 1 0 01 Nov 2025
Learn to Rank Risky Investors: A Case Study of Predicting Retail Traders' Behaviour and Profitability Weixian Waylon Li Tiejun Ma 76 0 0 20 Sep 2025
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies Matthew Lau Tian-Yi Zhou Xiangchi Yuan Jizhou Chen Wenke Lee Xiaoming Huo 160 0 0 16 Jun 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba ModelsInternational Conference on Learning Representations (ICLR), 2025 Nguyen H K. Do Truc Nguyen Malik Hassanaly Raed Alharbi Jung Taek Seo My T. Thai 214 0 0 09 Mar 2025
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reductionKnowledge-Based Systems (KBS), 2025 Francesco Vitale Marco Pegoraro W. V. Aalst Nicola Mazzocca 326 3 0 17 Feb 2025
scGSDR: Harnessing Gene Semantics for Single-Cell Pharmacological Profiling Yu-An Huang Xiyue Cao Zhu-Hong You Yue-Chao Li Xuequn Shang Zhi-An Huang 96 0 0 02 Feb 2025
Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition MonitoringReliability Engineering & System Safety (Reliab. Eng. Syst. Saf.), 2024 Wenyang Hu Gaetan Frusque Tianyang Wang Fulei Chu Olga Fink DiffM MedIm 102 1 0 03 Sep 2024
Weakly-supervised anomaly detection for multimodal data distributions Xu Tan Junqi Chen Sylwan Rahardja Jiawei Yang Susanto Rahardja 133 2 0 13 Jun 2024
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities Hao Dong Yue Zhao Eleni Chatzi Olga Fink OODD 161 25 0 27 May 2024
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior Lorenzo Perini Maja R. Rudolph Sabrina Schmedding Chen Qiu 250 4 0 22 May 2024
Weakly Supervised Anomaly Detection via Knowledge-Data AlignmentThe Web Conference (WWW), 2024 Haihong Zhao Chenyi Zi Yang Liu Chen Zhang Yan Zhou Jia Li 148 14 0 06 Feb 2024
Outlier detection using flexible categorisation and interrogative agendas Marcel Boersma Krishna Manoorkar A. Palmigiano Mattia Panettiere Apostolos Tzimoulis Nachoem Wijnberg 197 4 0 19 Dec 2023
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Hao Dong Gaëtan Frusque Yue Zhao Eleni Chatzi Olga Fink AAML 216 17 0 20 Nov 2023
ADGym: Design Choices for Deep Anomaly DetectionNeural Information Processing Systems (NeurIPS), 2023 Minqi Jiang Chaochuan Hou Ao Zheng Songqiao Han Hailiang Huang Qingsong Wen Xiyang Hu Yue Zhao 283 24 0 27 Sep 2023
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced RecognitionIEEE International Conference on Computer Vision (ICCV), 2023 Yixuan Zhou Yi Qu Xing Xu Hengtao Shen 112 28 0 15 Aug 2023
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous SupervisionInformation Processing & Management (IPM), 2023 Hongzuo Xu Yijie Wang Guansong Pang Songlei Jian Ninghui Liu Yongjun Wang 147 36 0 25 Jul 2023
Anomaly Detection with Score Distribution DiscriminationKnowledge Discovery and Data Mining (KDD), 2023 Minqi Jiang Songqiao Han Hailiang Huang 224 16 0 26 Jun 2023
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on AnomaliesExpert systems with applications (ESWA), 2023 Yixuan Zhou Peiyu Yang Yi Qu Xing Xu Zhe Sun Andrzej Cichocki 142 8 0 30 May 2023
AnoRand: A Semi Supervised Deep Learning Anomaly Detection Method by Random Labeling M. Z. A. Mayaki M. Riveill 68 1 0 28 May 2023
Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Tomoya Nishida Takashi Endo Yohei Kawaguchi 125 1 0 05 Apr 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series DataKnowledge-Based Systems (KBS), 2023 Ling Yu AI4TS 224 54 0 17 Feb 2023
Weakly Supervised Anomaly Detection: A Survey Minqi Jiang Chaochuan Hou Ao Zheng Xiyang Hu Songqiao Han Hailiang Huang Xiangnan He Philip S. Yu Yue Zhao 230 39 0 09 Feb 2023
Unsupervised Deep Learning for IoT Time SeriesIEEE Internet of Things Journal (IEEE IoT J.), 2023 Ya Liu Ying Zhou Kai Yang Xiao Wang AI4TS 307 53 0 07 Feb 2023
FedTADBench: Federated Time-Series Anomaly Detection Benchmark Fanxing Liu Cheng Zeng Le Zhang Yingjie Zhou Qing Mu Yanru Zhang Ling Zhang Ce Zhu OOD FedML AI4TS 197 14 0 19 Dec 2022
ADPS: Asymmetric Distillation Post-Segmentation for Image Anomaly DetectionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Peng-Fei Xing Hao Tang Jinhui Tang Zechao Li 365 11 0 19 Oct 2022
ADBench: Anomaly Detection BenchmarkNeural Information Processing Systems (NeurIPS), 2022 Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 283 371 0 19 Jun 2022
Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated TransformerIEEE Transactions on Industrial Informatics (IEEE TII), 2022 Shiyao Ma Jiangtian Nie Jiawen Kang Lingjuan Lyu R. W. Liu Ruihui Zhao Ziyao Liu Dusit Niyato FedML 197 26 0 02 Apr 2022
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination Jongmin Yu Hyeontaek Oh Minkyung Kim Junsik Kim 95 14 0 28 Oct 2021
NFAD: Fixing anomaly detection using normalizing flowsPeerJ Computer Science (PCS), 2019 Artem Sergeevich Ryzhikov M. Borisyak Andrey Ustyuzhanin D. Derkach 134 17 0 19 Dec 2019
Deep Weakly-supervised Anomaly DetectionKnowledge Discovery and Data Mining (KDD), 2019 Guansong Pang Chunhua Shen Huidong Jin Anton van den Hengel 198 115 0 30 Oct 2019
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection Ruimin Sun Xiaoyong Yuan Pan He Qile Zhu Aokun Chen André Grégio Daniela Oliveira Xiaolin Li AAML 114 12 0 04 Dec 2017