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FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models.

, , , , and . Sensors, 19 (11): 2451 (2019)

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TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features., , , , , and . ICANN (Workshop), volume 11731 of Lecture Notes in Computer Science, page 426-439. Springer, (2019)OGaze: Gaze Prediction in Egocentric Videos for Attentional Object Selection., , , , , , and . DICTA, page 1-8. IEEE, (2019)Deep One-Class Classification, , , , , , , and . Proceedings of the 35th International Conference on Machine Learning, volume 80 of Proceedings of Machine Learning Research, page 4393--4402. Stockholmsmässan, Stockholm Sweden, PMLR, (10--15 Jul 2018)Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics., , , , and . CoRR, (2022)TSInsight: A local-global attribution framework for interpretability in time-series data., , , and . CoRR, (2020)Identifying Layers Susceptible to Adversarial Attacks., and . CoRR, (2021)Rethinking Semantic Segmentation for Table Structure Recognition in Documents., , , and . ICDAR, page 1397-1402. IEEE, (2019)Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning., , , , , , and . BMC Medical Informatics Decis. Mak., 19 (1): 153:1 (2019)TSInsight: A Local-Global Attribution Framework for Interpretability in Time Series Data., , , and . Sensors, 21 (21): 7373 (2021)Self-Supervised Representation Learning for Document Image Classification., , and . IEEE Access, (2021)