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Learned Temporal Aggregations for Fraud Classification on E-Commerce Platforms., , , , , и . WWW (Companion Volume), стр. 1365-1372. ACM, (2023)Delocalized Unsteady Vortex Region Detectors., , , , и . VMV, стр. 81-90. Aka GmbH, (2008)Evaluating the Dot-Based Contingency Wheel: Results from a Usability and Utility Study., , , , и . HCI (12), том 8521 из Lecture Notes in Computer Science, стр. 76-86. Springer, (2014)A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data., , , , , , , и . EuroVA@EuroVis, Eurographics Association, (2014)Captum: A unified and generic model interpretability library for PyTorch, , , , , , , , , и 1 other автор(ы). (2020)cite arxiv:2009.07896.Mind the Pad - CNNs Can Develop Blind Spots., , , , и . ICLR, OpenReview.net, (2021)Mind the Pool: Convolutional Neural Networks Can Overfit Input Size., , , , , и . ICLR, OpenReview.net, (2023)Exploration and Assessment of Event Data., , , и . EuroVA@EuroVis, стр. 67-71. Eurographics Association, (2015)Visualizing Arrays in the Eclipse Java IDE., , , и . CSMR, стр. 541-544. IEEE Computer Society, (2012)Analyzing parameter influence on time-series segmentation and labeling., , , , , и . IEEE VAST, стр. 269-270. IEEE Computer Society, (2014)