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