V. Jeanselme

发表

Neural Survival Clustering: Non-parametric mixture of neural networks for survival clustering

V. Jeanselme, Brian Tom, Jessica L. Barrett, 2022, CHIL.

Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit

G. Clermont, A. Dubrawski, M. Hravnak, 2020, Critical Care.

DeepJoint: Robust Survival Modelling Under Clinical Presence Shift

V. Jeanselme, G. Martin, M. Sperrin, 2022, ArXiv.

Robustness of Machine Learning Models for Hemorrhage Detection

Artur Dubrawski, Gilles Clermont, V. Jeanselme, 2020 .

Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit

G. Clermont, A. Dubrawski, M. Hravnak, 2020, Critical Care.

Sex differences in post cardiac arrest discharge locations

J. Elmer, V. Jeanselme, Maria De-Arteaga, 2021, Resuscitation Plus.

Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness

Zhe Zhang, V. Jeanselme, Maria De-Arteaga, 2022, Proceedings of machine learning research.

A Case for Federated Learning: Enabling and Leveraging Inter-Hospital Collaboration

Artur Dubrawski, Gilles Clermont, V. Jeanselme, 2020 .

Deep Parametric Time-to-Event Regression with Time-Varying Covariates

A. Dubrawski, V. Jeanselme, Chirag Nagpal, 2021, SPACA.

Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness

Zhe Zhang, V. Jeanselme, Maria De-Arteaga, 2022, ML4H@NeurIPS.

Neural Fine-Gray: Monotonic neural networks for competing risks

V. Jeanselme, J. Barrett, Changwon Yoon, 2023, CHIL.

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium

Chinasa T. Okolo, Gamze Gursoy, V. Jeanselme, 2024, ArXiv.

Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation

A. Dubrawski, V. Jeanselme, Benedikt Boecking, 2022, Advances in Data Analysis and Classification.