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NPJ Digital Medicine|January 6, 2021
Second opinion needed: communicating uncertainty in medical machine learningBenjamin Kompa, Jasper Snoek, Andrew L Beam
Entropy (Basel, Switzerland)|December 24, 2021
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification ProceduresBenjamin Kompa, Jasper Snoek, Andrew L Beam
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical DataAndrew L Beam, Benjamin Kompa, Allen Schmaltz, et al.
NPJ Digital Medicine|May 14, 2025
Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopyNeslihan Dilruba Koseoglu, Eric Chen, Rudraksh Tuwani, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Learning a Latent Space of Highly Multidimensional Cancer DataBenjamin Kompa, Beau Coker
Drug Safety|May 17, 2022
Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping ReviewBenjamin Kompa, Joe B Hakim, Anil Palepu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Generalized Linear Models of home activity for automatic detection of mild cognitive impairment in older adultsAhmad Akl, Jasper Snoek, Alex Mihailidis
IEEE Journal of Biomedical and Health Informatics|February 4, 2016
Unobtrusive Detection of Mild Cognitive Impairment in Older Adults Through Home MonitoringAhmad Akl, Jasper Snoek, Alex Mihailidis
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Towards a single sensor passive solution for automated fall detectionMichael Belshaw, Babak Taati, Jasper Snoek, et al.
Genome Research|May 20, 2016
Basset: learning the regulatory code of the accessible genome with deep convolutional neural networksDavid R Kelley, Jasper Snoek, John L Rinn
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