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Disambiguation of "Pirracchio, Romain"

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Multi-task Highly Adaptive Lasso.

, , , , , and . CoRR, (2023)

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Romain Schroeder

Romain Brevet

Romain Bourqui

Romain Aïssat

Romain Scheeck

 

Other publications of authors with the same name

Evaluation of the propensity score methods for estimating marginal odds ratios in case of small sample size., , and . BMC medical research methodology, (January 2012)Propensity score; Estudi petit; Sample size.Monitoring machine learning-based risk prediction algorithms in the presence of performativity., , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 919-927. PMLR, (2024)Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare., , , , , , and . npj Digit. Medicine, (2022)Multi-task Highly Adaptive Lasso., , , , , and . CoRR, (2023)Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study., , , , , , , , , and . CoRR, (2023)Is this model reliable for everyone? Testing for strong calibration., , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 181-189. PMLR, (2024)A deep learning approach for generating intracranial pressure waveforms from extracranial signals routinely measured in the intensive care unit., , , , , , , , , and 2 other author(s). Comput. Biol. Medicine, (2024)Utility of time-dependent inverse-probability-of-treatment weights to analyze observational cohorts in the intensive care unit., , , and . Journal of clinical epidemiology, 64 (12): 1373-82 (December 2011)6952<m:linebreak></m:linebreak>CI: Copyright (c) 2011; JID: 8801383; 2010/01/30 received; 2011/01/21 revised; 2011/02/21 accepted; 2011/06/11 aheadofprint; ppublish;<m:linebreak></m:linebreak>Anàlisi de dades; Dades longitudinals; Marginal structural models.Expert-Augmented Machine Learning., , , , , , , , , and 3 other author(s). CoRR, (2019)Sequential algorithmic modification with test data reuse., , , , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 674-684. PMLR, (2022)