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ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models.

, , , and . IEEE Trans. Vis. Comput. Graph., 24 (1): 88-97 (2018)

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ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models., , , and . CoRR, (2017)Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers., , , and . CoRR, (2018)Exploiting user feedback to improve quality of search results clustering., , and . ICUIMC, page 68. ACM, (2011)Understanding variations in pediatric asthma care processes in the emergency department using visual analytics., , , , , , , , , and 3 other author(s). JAMIA, 22 (2): 318-323 (2015)Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers., , , and . IEEE Trans. Vis. Comput. Graph., 25 (8): 2674-2693 (2019)Chronodes: Interactive Multi-focus Exploration of Event Sequences., , , , , , and . CoRR, (2016)Random walk based entity ranking on graph for multidimensional recommendation., , , , and . RecSys, page 93-100. ACM, (2011)M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model., , , , , and . ECML/PKDD (2), volume 9852 of Lecture Notes in Computer Science, page 623-640. Springer, (2016)Temporal Dynamics in Music Listening Behavior: A Case Study of Online Music Service., and . ACIS-ICIS, page 573-578. IEEE Computer Society, (2010)Exploiting Contextual Information from Event Logs for Personalized Recommendation., , , , and . Computer and Information Science, volume 317 of Studies in Computational Intelligence, (2010)