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Journal Articles
- 2022
[j2]Kristine Zhang, Henry Wang, Jianzhun Du, Brian Chu, Aldo Arévalo
, Ryan Kindle, Leo Anthony Celi, Finale Doshi-Velez:
An interpretable RL framework for pre-deployment modeling in ICU hypotension management. npj Digit. Medicine 5 (2022)- 2021
- [j1]Arne Peine, Ahmed Hallawa, Johannes Bickenbach, Guido Dartmann, Lejla Begic Fazlic, Anke Schmeink, Gerd Ascheid, Christoph Thiemermann, Andreas Schuppert, Ryan Kindle, Leo A. Celi, Gernot Marx, Lukas Martin:
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. npj Digit. Medicine 4 (2021)
Conference and Workshop Papers
- 2020
- [c1]Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Regional Tree Regularization for Interpretability in Deep Neural Networks. AAAI 2020: 6413-6421
Informal and Other Publications
- 2021
- [i2]Kristine Zhang, Yuanheng Wang, Jianzhun Du, Brian Chu, Leo Anthony Celi, Ryan Kindle, Finale Doshi-Velez:
Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment. CoRR abs/2101.03309 (2021) - 2019
- [i1]Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Regional Tree Regularization for Interpretability in Black Box Models. CoRR abs/1908.04494 (2019)
Coauthor Index
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