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Proceedings of Machine Learning Research|August 8, 2022
Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time DataMatthew Engelhard, Ricardo HenaoProceedings of Machine Learning Research|May 10, 2024
Adaptive Discretization for Event PredicTion (ADEPT)Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, et al.Artificial Intelligence in Medicine|April 20, 2025
Exploring trade-offs in equitable stroke risk prediction with parity-constrained and race-free modelsMatthew Engelhard, Daniel Wojdyla, Haoyuan Wang, et al.Journal of Biomedical Informatics|May 14, 2023
Enhancing early autism prediction based on electronic records using clinical narrativesJunya Chen, Matthew Engelhard, Ricardo Henao, et al.Journal of Biomedical Informatics|August 25, 2024
A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosisWei A Huang, Matthew Engelhard, Marika Coffman, et al.Transactions on Machine Learning Research|October 2, 2025
Reliable Active Learning via Influence FunctionsMeng Xia, Ricardo HenaoPlos 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 HenaoProceedings of Machine Learning Research|December 4, 2025
Learning Survival Distributions with the Asymmetric Laplace DistributionDeming Sheng, Ricardo HenaoResearch Square|November 22, 2024
A Robust and Data-Efficient Deep Learning Model for Cardiac Assessment without SegmentationConor M Artman, Ricardo HenaoFrontiers in Big Data|May 27, 2022
Wasserstein Uncertainty Estimation for Adversarial Domain MatchingRui Wang, Ruiyi Zhang, Ricardo HenaoPageof 16