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pro vyhledávání: '"A, Ter Minassian"'
Merging datasets across institutions is a lengthy and costly procedure, especially when it involves private information. Data hosts may therefore want to prospectively gauge which datasets are most beneficial to merge with, without revealing sensitiv
Externí odkaz:
http://arxiv.org/abs/2409.07215
Autor:
Pochinkov, Nicholas, Benoit, Angelo, Agarwal, Lovkush, Majid, Zainab Ali, Ter-Minassian, Lucile
Generative large language models (LLMs) excel in natural language processing tasks, yet their inner workings remain underexplored beyond token-level predictions. This study investigates the degree to which these models decide the content of a paragra
Externí odkaz:
http://arxiv.org/abs/2409.06328
Interpretability and transparency are essential for incorporating causal effect models from observational data into policy decision-making. They can provide trust for the model in the absence of ground truth labels to evaluate the accuracy of such mo
Externí odkaz:
http://arxiv.org/abs/2401.17737
With the adoption of machine learning into routine clinical practice comes the need for Explainable AI methods tailored to medical applications. Shapley values have sparked wide interest for locally explaining models. Here, we demonstrate their inter
Externí odkaz:
http://arxiv.org/abs/2402.00072
Publikováno v:
ICML 2022 Workshop on Interpretable Machine Learning in Healthcare
With the adoption of machine learning-based solutions in routine clinical practice, the need for reliable interpretability tools has become pressing. Shapley values provide local explanations. The method gained popularity in recent years. Here, we re
Externí odkaz:
http://arxiv.org/abs/2306.14698
Publikováno v:
International Conference on Machine Learning 2023
Predictive black-box models can exhibit high accuracy but their opaque nature hinders their uptake in safety-critical deployment environments. Explanation methods (XAI) can provide confidence for decision-making through increased transparency. Howeve
Externí odkaz:
http://arxiv.org/abs/2306.14672
Autor:
Hovig Ter Minassian, Mathieu Gigot
Publikováno v:
Territoire en Mouvement, Vol 63 (2024)
Long confined to the domain of the frivolous, even useless, games are now recognized in many non-game fields of activity as a means of reinforcing the commitment of participants. In recent years, the interest for serious games has grown among enterpr
Externí odkaz:
https://doaj.org/article/5dbdde88fa0c4fdb8edcfed2a6bda65f
Autor:
Mello, Luiz de1 (AUTHOR), Ter-Minassian, Teresa2 (AUTHOR) tterminassian@yahoo.com
Publikováno v:
Public Finance & Management. Sep2024, Vol. 23 Issue 3, p113-131. 19p.
Shapley values provide model agnostic feature attributions for model outcome at a particular instance by simulating feature absence under a global population distribution. The use of a global population can lead to potentially misleading results when
Externí odkaz:
http://arxiv.org/abs/2106.14648
Autor:
Ann Laube, MSc, Markus Huellebrand, Léa Ter-Minassian, Eicke Schwarzkopf, Bernd Opgen-Rhein, MD, Nele Rolfs, MD, Felix Anderheiden, MD, Bardo Wannenmacher, MD, Gesa Wiegand, MD, Martin Boehne, MD, Theodor Uden, MD, Katja Reineker, MD, Axel Rentzsch, MD, Marcus Fischer, MD, Michael Kaestner, MD, Tobias Hecht, MD, Rudi Foth, MD, Bettina Ruf, MD, Thomas Pickardt, MD, Stephan Schubert, MD, Daniel Messroghli, MD, Franziska Seidel, MD, Anja Hennemuth, PhD
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100743- (2024)
Externí odkaz:
https://doaj.org/article/489c05c06fc640e99ae1b7cb2505a775