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Ricardo Henao

Showing results (1-10 of 150) with videos related to

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European Journal of Preventive Cardiology|March 20, 2025
Toward Improving Risk Prediction through Clustering AnalysisRicardo Henao, Michael Pencina
Proceedings of Machine Learning Research|August 8, 2022
Disentangling <i>Whether</i> from <i>When</i> in a Neural Mixture Cure Model for Failure Time DataMatthew Engelhard, Ricardo Henao
Transactions on Machine Learning Research|October 2, 2025
Reliable Active Learning via Influence FunctionsMeng Xia, Ricardo Henao
Plos Computational Biology|September 12, 2022
TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profileTianqi Yang, Ricardo Henao
Proceedings of Machine Learning Research|December 4, 2025
Learning Survival Distributions with the Asymmetric Laplace DistributionDeming Sheng, Ricardo Henao
Research Square|November 22, 2024
A Robust and Data-Efficient Deep Learning Model for Cardiac Assessment without SegmentationConor M Artman, Ricardo Henao
BMC Medical Imaging|October 22, 2025
A robust and data-efficient deep learning model for cardiac assessment without segmentationConor M Artman, Ricardo Henao
Frontiers in Big Data|May 27, 2022
Wasserstein Uncertainty Estimation for Adversarial Domain MatchingRui Wang, Ruiyi Zhang, Ricardo Henao
Proceedings of the ACM Conference on Health, Inference, and Learning|January 31, 2022
Variational Learning of Individual Survival DistributionsZidi Xiu, Chenyang Tao, Ricardo Henao
Neuroimage|March 3, 2017
Gaussian process based independent analysis for temporal source separation in fMRIDitte Høvenhoff Hald, Ricardo Henao, Ole Winther
Pageof 15

Showing results (1-10 of 150) with videos related to

Sort By:
Pageof 15
European Journal of Preventive Cardiology|March 20, 2025
Toward Improving Risk Prediction through Clustering AnalysisRicardo Henao, Michael Pencina
Proceedings of Machine Learning Research|August 8, 2022
Disentangling <i>Whether</i> from <i>When</i> in a Neural Mixture Cure Model for Failure Time DataMatthew Engelhard, Ricardo Henao
Transactions on Machine Learning Research|October 2, 2025
Reliable Active Learning via Influence FunctionsMeng Xia, Ricardo Henao
Plos Computational Biology|September 12, 2022
TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profileTianqi Yang, Ricardo Henao
Proceedings of Machine Learning Research|December 4, 2025
Learning Survival Distributions with the Asymmetric Laplace DistributionDeming Sheng, Ricardo Henao
Research Square|November 22, 2024
A Robust and Data-Efficient Deep Learning Model for Cardiac Assessment without SegmentationConor M Artman, Ricardo Henao
BMC Medical Imaging|October 22, 2025
A robust and data-efficient deep learning model for cardiac assessment without segmentationConor M Artman, Ricardo Henao
Frontiers in Big Data|May 27, 2022
Wasserstein Uncertainty Estimation for Adversarial Domain MatchingRui Wang, Ruiyi Zhang, Ricardo Henao
Proceedings of the ACM Conference on Health, Inference, and Learning|January 31, 2022
Variational Learning of Individual Survival DistributionsZidi Xiu, Chenyang Tao, Ricardo Henao
Neuroimage|March 3, 2017
Gaussian process based independent analysis for temporal source separation in fMRIDitte Høvenhoff Hald, Ricardo Henao, Ole Winther
Pageof 15