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CXPlain: Causal Explanations for Model Interpretation under Uncertainty.

, and . NeurIPS, page 10220-10230. (2019)

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Granger-causal Attentive Mixtures of Experts., and . CoRR, (2018)Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks., , , , and . CinC, www.cinc.org, (2017)Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks., , and . CoRR, (2018)Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge., , , , , , , , , and 60 other author(s). npj Digit. Medicine, (2021)PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data., and . CoRR, (2018)Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation., , , , , , and . CoRR, (2020)predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019., , , and . CoRR, (2020)A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data., and . IEEE J. Biomed. Health Informatics, 25 (4): 1284-1291 (2021)PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data., and . AAAI, page 1118-1125. AAAI Press, (2019)Capturing the Essence: Towards the Automated Generation of Transparent Behavior Models., and . AIIDE, page 184-190. AAAI Press, (2015)