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Jean-Marc Martinez
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Journal Articles
- 2024
- [j7]Geoffrey Daniel
, Mohamed Bahi Yahiaoui
, Claude Comtat
, Sebastien Jan, Olga Kochebina
, Jean-Marc Martinez, Viktoriya Sergeyeva
, Viatcheslav Sharyy
, Chi-Hsun Sung, Dominique Yvon
:
Deep learning reconstruction with uncertainty estimation for γ photon interaction in fast scintillator detectors. Eng. Appl. Artif. Intell. 131: 107876 (2024) - 2022
- [j6]Baptiste Broto
, François Bachoc
, Laura Clouvel, Jean-Marc Martinez:
Block-Diagonal Covariance Estimation and Application to the Shapley Effects in Sensitivity Analysis. SIAM/ASA J. Uncertain. Quantification 10(1): 379-403 (2022) - 2021
- [j5]Baptiste Broto
, François Bachoc
, Marine Depecker, Jean-Marc Martinez:
Gaussian Linear Approximation for the Estimation of the Shapley Effects. SIAM/ASA J. Uncertain. Quantification 9(3): 1132-1151 (2021) - 2019
- [j4]Baptiste Broto
, François Bachoc, Marine Depecker, Jean-Marc Martinez:
Sensitivity indices for independent groups of variables. Math. Comput. Simul. 163: 19-31 (2019) - 2009
- [j3]Thierry Crestaux, Olivier P. Le Maître
, Jean-Marc Martinez:
Polynomial chaos expansion for sensitivity analysis. Reliab. Eng. Syst. Saf. 94(7): 1161-1172 (2009) - 2008
- [j2]Stéphane Gazut, Jean-Marc Martinez, Gérard Dreyfus
, Yacine Oussar:
Towards the Optimal Design of Numerical Experiments. IEEE Trans. Neural Networks 19(5): 874-882 (2008) - 2002
- [j1]Denis Rivière, Jean-François Mangin, Dimitri Papadopoulos-Orfanos, Jean-Marc Martinez, Vincent Frouin, Jean Régis:
Automatic recognition of cortical sulci of the human brain using a congregation of neural networks. Medical Image Anal. 6(2): 77-92 (2002)
Conference and Workshop Papers
- 2023
- [c4]Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi:
Packed Ensembles for efficient uncertainty estimation. ICLR 2023 - 2002
- [c3]Denis Rivière, Jean-François Mangin, Jean-Marc Martinez, Florence Tupin, Dimitri Papadopoulos-Orfanos, Vincent Frouin:
Relational Graph Labelling Using Learning Techniques and Markov Random Fields. ICPR (2) 2002: 172-175 - 2000
- [c2]Denis Rivière, Jean-François Mangin, Dimitri Papadopoulos-Orfanos, Jean-Marc Martinez, Vincent Frouin, Jean Régis:
Automatic Recognition of Cortical Sulci Using a Congregation of Neural Networks. MICCAI 2000: 40-49 - 1998
- [c1]Denis Rivière, Jean-François Mangin, Jean-Marc Martinez, Florent Chavand, Vincent Frouin:
Neural Network Based Learning of Local Compatibilities for Segment Grouping. SSPR/SPR 1998: 349-358
Informal and Other Publications
- 2023
- [i3]Geoffrey Daniel, Mohamed Bahi Yahiaoui, Claude Comtat, Sebastien Jan, Olga Kochebina, Jean-Marc Martinez, Viktoriya Sergeyeva, Viatcheslav Sharyy, Chi-Hsun Sung, Dominique Yvon:
Deep Learning reconstruction with uncertainty estimation for γ photon interaction in fast scintillator detectors. CoRR abs/2310.06572 (2023) - 2022
- [i2]Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi:
Packed-Ensembles for Efficient Uncertainty Estimation. CoRR abs/2210.09184 (2022) - 2018
- [i1]Rémi Sainct, Cyril Feau, Jean-Marc Martinez, Josselin Garnier:
Efficient Seismic fragility curve estimation by Active Learning on Support Vector Machines. CoRR abs/1810.01240 (2018)
Coauthor Index
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