Romain Pirracchio

20 papers A 3Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Challenges with reinforcement learning model transportability for sepsis treatment in emergency care.
npj Digit. Medicine
Peter C. Nauka, Jason N. Kennedy, Emily B. Brant, Matthieu Komorowski, Romain Pirracchio, Derek C. Angus, Christopher W. Seymour
2025 J jnl
Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables.
BMC Medical Informatics Decis. Mak.
Junming Shi, Alan E. Hubbard, Nicholas Fong, Romain Pirracchio
2025 J jnl
Realistic CDSS Drug Dosing with End-to-end Recurrent Q-learning for Dual Vasopressor Control.
CoRR
Will Y. Zou, Jean Feng, Alexandre Kalimouttou, Jennifer Yuntong Zhang, Christopher W. Seymour, Romain Pirracchio
2024 J jnl
A deep learning approach for generating intracranial pressure waveforms from extracranial signals routinely measured in the intensive care unit.
Comput. Biol. Medicine
Shiker S. Nair, Alina Guo, Joseph Boen, Ataes Aggarwal, Ojas Chahal, Arushi Tandon, Meer Patel, Sreenidhi Sankararaman, Nicholas J. Durr, Tej D. Azad, Romain Pirracchio, Robert D. Stevens
2024 — conf
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens.
CLeaR
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
2024 A conf
Is this model reliable for everyone? Testing for strong calibration.
AISTATS
Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner
2024 A conf
Monitoring machine learning-based risk prediction algorithms in the presence of performativity.
AISTATS
Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
2023 J jnl
A Brief Tutorial on Sample Size Calculations for Fairness Audits.
CoRR
Harvineet Singh, Fan Xia, Mi-Ok Kim, Romain Pirracchio, Rumi Chunara, Jean Feng
2023 J jnl
Is this model reliable for everyone? Testing for strong calibration.
CoRR
Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner
2023 J jnl
Multi-task Highly Adaptive Lasso.
CoRR
Ivana Malenica, Rachael V. Phillips, Daniel Lazzareschi, Jeremy R. Coyle, Romain Pirracchio, Mark J. van der Laan
2023 J jnl
Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study.
CoRR
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
2022 J jnl
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees.
J. Am. Medical Informatics Assoc.
Jean Feng, Alexej Gossmann, Berkman Sahiner, Romain Pirracchio
2022 J jnl
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare.
npj Digit. Medicine
Jean Feng, Rachael V. Phillips, Ivana Malenica, Andrew Bishara, Alan E. Hubbard, Leo A. Celi, Romain Pirracchio
2022 J jnl
Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions.
CoRR
Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
2022 A conf
Sequential algorithmic modification with test data reuse.
UAI
Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann
2022 J jnl
Sequential algorithmic modification with test data reuse.
CoRR
Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann
2021 J jnl
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees.
CoRR
Jean Feng, Alexej Gossmann, Berkman Sahiner, Romain Pirracchio
2021 J jnl
Personalized Online Machine Learning.
CoRR
Ivana Malenica, Rachael V. Phillips, Romain Pirracchio, Antoine Chambaz, Alan E. Hubbard, Mark J. van der Laan
2021 J jnl
The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients.
Artif. Intell. Medicine
Ményssa Cherifa, Yannet Interian, Alice Blet, Matthieu Resche-Rigon, Romain Pirracchio
2019 J jnl
Expert-Augmented Machine Learning.
CoRR
Efstathios D. Gennatas, Jerome H. Friedman, Lyle H. Ungar, Romain Pirracchio, Eric Eaton, L. Reichman, Yannet Interian, Charles B. Simone II, A. Auerbach, E. Delgado, Mark J. van der Laan, Timothy D. Solberg, Gilmer Valdes