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Jasper Snoek

Showing results (1-10 of 11) with videos related to

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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
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
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
IEEE Journal of Biomedical and Health Informatics|January 10, 2014
Data mining in bone marrow transplant records to identify patients with high odds of survivalBabak Taati, Jasper Snoek, Dionne Aleman, et al.
Computing in Cardiology|January 1, 2015
Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems ApproachLi-Wei Lehman, Mohammad Ghassemi, Jasper Snoek, et al.
Entropy (Basel, Switzerland)|November 27, 2021
Sampling the Variational Posterior with Local RefinementMarton Havasi, Jasper Snoek, Dustin Tran, et al.
Circulation. Cardiovascular Imaging|September 29, 2017
Machine Learning Approaches in Cardiovascular ImagingMir Henglin, Gillian Stein, Pavel V Hushcha, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
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
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
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
IEEE Journal of Biomedical and Health Informatics|January 10, 2014
Data mining in bone marrow transplant records to identify patients with high odds of survivalBabak Taati, Jasper Snoek, Dionne Aleman, et al.
Computing in Cardiology|January 1, 2015
Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems ApproachLi-Wei Lehman, Mohammad Ghassemi, Jasper Snoek, et al.
Entropy (Basel, Switzerland)|November 27, 2021
Sampling the Variational Posterior with Local RefinementMarton Havasi, Jasper Snoek, Dustin Tran, et al.
Circulation. Cardiovascular Imaging|September 29, 2017
Machine Learning Approaches in Cardiovascular ImagingMir Henglin, Gillian Stein, Pavel V Hushcha, et al.
Pageof 2