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Generative adversarial networks for biomedical time series forecasting and imputation.

, , and . J. Biomed. Informatics, (2022)

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Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning., , , , , , , , , and . CoRR, (2017)Neither Quick Nor Proper - Evaluation of QuickProp for Learning Deep Neural Networks., , , , and . CoRR, (2016)Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection., , , and . CoRR, (2018)Deep Learning on Small Datasets without Pre-Training using Cosine Loss., and . CoRR, (2019)On Optimal Camera Parameter Selection in Kalman Filter Based Object Tracking., , and . DAGM-Symposium, volume 2449 of Lecture Notes in Computer Science, page 17-25. Springer, (2002)A Comparative Evaluation of Template and Histogram Based 2D Tracking Algorithms., , , and . DAGM-Symposium, volume 3663 of Lecture Notes in Computer Science, page 269-276. Springer, (2005)Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents., and . CoRR, (2019)MB-Net: MergeBoxes for Real-Time 3D Vehicles Detection., , , , and . Intelligent Vehicles Symposium, page 2117-2124. IEEE, (2018)Predicting Landscapes from Environmental Conditions Using Generative Networks., , , , and . GCPR, volume 11824 of Lecture Notes in Computer Science, page 203-217. Springer, (2019)Active Learning for Regression Tasks with Expected Model Output Changes., , , , , and . BMVC, page 103. BMVA Press, (2018)