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2020 – today
- 2024
[j1]Benedikt Boecking
, Vincent Jeanselme, Artur Dubrawski:
Constrained clustering and multiple kernel learning without pairwise constraint relaxation. Adv. Data Anal. Classif. 18(2): 309-324 (2024)- [i6]Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo:
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024) - [i5]Vincent Jeanselme, Chang Ho Yoon, Fabian Falck, Brian D. M. Tom, Jessica K. Barrett:
Identifying treatment response subgroups in observational time-to-event data. CoRR abs/2408.03463 (2024) - 2023
- [c4]Vincent Jeanselme, Chang Ho Yoon, Brian D. M. Tom, Jessica K. Barrett:
Neural Fine-Gray: Monotonic neural networks for competing risks. CHIL 2023: 379-392 - [i4]Vincent Jeanselme, Chang Ho Yoon, Brian D. M. Tom, Jessica K. Barrett:
Neural Fine-Gray: Monotonic neural networks for competing risks. CoRR abs/2305.06703 (2023) - 2022
- [c3]Vincent Jeanselme, Brian D. M. Tom, Jessica K. Barrett:
Neural Survival Clustering: Non-parametric mixture of neural networks for survival clustering. CHIL 2022: 92-102 - [c2]Vincent Jeanselme, Maria De-Arteaga, Zhe Zhang, Jessica K. Barrett, Brian D. M. Tom:
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness. ML4H@NeurIPS 2022: 12-34 - [i3]Benedikt Boecking, Vincent Jeanselme, Artur Dubrawski:
Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation. CoRR abs/2203.12546 (2022) - [i2]Vincent Jeanselme, Glen P. Martin, Niels Peek, Matthew Sperrin, Brian D. M. Tom, Jessica K. Barrett:
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift. CoRR abs/2205.13481 (2022) - [i1]Vincent Jeanselme, Maria De-Arteaga, Zhe Zhang, Jessica K. Barrett, Brian D. M. Tom:
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness. CoRR abs/2208.06648 (2022) - 2021
- [c1]Chirag Nagpal, Vincent Jeanselme, Artur Dubrawski:
Deep Parametric Time-to-Event Regression with Time-Varying Covariates. SPACA 2021: 184-193
Coauthor Index
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