Neural Network Based Learning of Local Compatibilities for Segment Grouping. - Denis Rivière; Jean-François Mangin; Jean-Marc Martinez; Florent Chavand; Vincent Frouin (SSPR/SPR, 1998)

Automatic Recognition of Cortical Sulci Using a Congregation of Neural Networks. - Denis Rivière; Jean-François Mangin; Dimitri Papadopoulos-Orfanos; Jean-Marc Martinez; Vincent Frouin; Jean Régis (MICCAI, 2000)

Relational Graph Labelling Using Learning Techniques and Markov Random Fields. - Denis Rivière; Jean-François Mangin; Jean-Marc Martinez; Florence Tupin; Dimitri Papadopoulos-Orfanos; Vincent Frouin (ICPR (2), 2002)

Automatic recognition of cortical sulci of the human brain using a congregation of neural networks. - Denis Rivière; Jean-François Mangin; Dimitri Papadopoulos-Orfanos; Jean-Marc Martinez; Vincent Frouin; Jean Régis (Medical Image Anal., 2002)

Towards the Optimal Design of Numerical Experiments. - Stéphane Gazut; Jean-Marc Martinez; Gérard Dreyfus; Yacine Oussar (IEEE Trans. Neural Networks, 2008)

Polynomial chaos expansion for sensitivity analysis. - Thierry Crestaux; Olivier P. Le Maître; Jean-Marc Martinez (Reliab. Eng. Syst. Saf., 2009)

Efficient Seismic fragility curve estimation by Active Learning on Support Vector Machines. - Rémi Sainct; Cyril Feau; Jean-Marc Martinez; Josselin Garnier (CoRR, 2018)

Sensitivity indices for independent groups of variables. - Baptiste Broto; François Bachoc; Marine Depecker; Jean-Marc Martinez (Math. Comput. Simul., 2019)

Gaussian Linear Approximation for the Estimation of the Shapley Effects. - Baptiste Broto; François Bachoc; Marine Depecker; Jean-Marc Martinez (SIAM/ASA J. Uncertain. Quantification, 2021)

Block-Diagonal Covariance Estimation and Application to the Shapley Effects in Sensitivity Analysis. - Baptiste Broto; François Bachoc; Laura Clouvel; Jean-Marc Martinez (SIAM/ASA J. Uncertain. Quantification, 2022)

Packed Ensembles for efficient uncertainty estimation. - Olivier Laurent 002; Adrien Lafage; Enzo Tartaglione; Geoffrey Daniel; Jean-Marc Martinez; Andrei Bursuc; Gianni Franchi (ICLR, 2023)

Deep learning reconstruction with uncertainty estimation for γ photon interaction in fast scintillator detectors. - Geoffrey Daniel; Mohamed Bahi Yahiaoui; Claude Comtat; Sebastien Jan; Olga Kochebina; Jean-Marc Martinez; Viktoriya Sergeyeva; Viatcheslav Sharyy; Chi-Hsun Sung; Dominique Yvon (Eng. Appl. Artif. Intell., 2024)