Romain Pirracchio

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Bayesian Logistic Regression

Predictive Power

Machine Learning

Top Venues

Artif. Intell. Medicine

Comput. Biol. Medicine

Publications

Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner
Is this model reliable for everyone? Testing for strong calibration. AISTATS (2024)
Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
Monitoring machine learning-based risk prediction algorithms in the presence of performativity. AISTATS (2024)
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
A deep learning approach for generating intracranial pressure waveforms from extracranial signals routinely measured in the intensive care unit. Comput. Biol. Medicine 177 (2024)
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. CLeaR (2024)
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study. CoRR (2023)
Ivana Malenica, Rachael V. Phillips, Daniel Lazzareschi, Jeremy R. Coyle, Romain Pirracchio, Mark J. van der Laan
Multi-task Highly Adaptive Lasso. CoRR (2023)
Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner
Is this model reliable for everyone? Testing for strong calibration. CoRR (2023)
Harvineet Singh, Fan Xia, Mi-Ok Kim, Romain Pirracchio, Rumi Chunara, Jean Feng
A Brief Tutorial on Sample Size Calculations for Fairness Audits. CoRR (2023)
Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann
Sequential algorithmic modification with test data reuse. UAI (2022)
Jean Feng, Rachael V. Phillips, Ivana Malenica, Andrew Bishara, Alan E. Hubbard, Leo A. Celi, Romain Pirracchio
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. npj Digit. Medicine 5 (2022)
Jean Feng, Alexej Gossmann, Berkman Sahiner, Romain Pirracchio
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees. J. Am. Medical Informatics Assoc. 29 (5) (2022)
Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions. CoRR (2022)
Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann
Sequential algorithmic modification with test data reuse. CoRR (2022)
Jean Feng, Alexej Gossmann, Berkman Sahiner, Romain Pirracchio
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees. CoRR (2021)
Ményssa Cherifa, Yannet Interian, Alice Blet, Matthieu Resche-Rigon, Romain Pirracchio
The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients. Artif. Intell. Medicine 118 (2021)
Ivana Malenica, Rachael V. Phillips, Romain Pirracchio, Antoine Chambaz, Alan E. Hubbard, Mark J. van der Laan
Personalized Online Machine Learning. CoRR (2021)
Efstathios D. Gennatas, J. 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
Expert-Augmented Machine Learning. CoRR (2019)