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An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks., , , and . CoRR, (2020)Visual Analytics for Supporting Conflict Resolution in Large Railway Networks., , , , , , , , , and . INNSBDDL, page 206-215. Springer, (2019)Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning., , , , , and . VAST, page 136-137. IEEE, (2019)ViNNPruner: Visual Interactive Pruning for Deep Learning., , and . MLVis@EuroVis, page 13-17. Eurographics Association, (2022)ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods., , and . MLVis@Eurographics/EuroVis, page 7-11. Eurographics Association, (2020)RescueMark: Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations: Award for Skillful Integration of Language Model., , , , , , and . VAST, page 120-121. IEEE, (2019)Interactive Classification Using Spectrograms and Audio Glyphs., , , , , and . VAST, page 110-111. IEEE, (2018)Using visual analytics to analyze movement and action patterns., , , , and . VAST, page 171-172. IEEE Computer Society, (2015)ExpLIMEable: A Visual Analytics Approach for Exploring LIME., , , , , , , and . VAHC, page 27-33. IEEE, (2023)Towards visual debugging for multi-target time series classification., , , , , and . IUI, page 202-206. ACM, (2020)