| Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference M Quach, N Brunel, F d'Alché-Buc Bioinformatics 23 (23), 3209-3216, 2007 | 200 | 2007 |
| Parameter estimation of ODE’s via nonparametric estimators NJB Brunel | 186 | 2008 |
| Unsupervised signal restoration using hidden Markov chains with copulas N Brunel, W Pieczynski Signal processing 85 (12), 2304-2315, 2005 | 64 | 2005 |
| Parametric estimation of ordinary differential equations with orthogonality conditions NJB Brunel, Q Clairon, F d’Alché-Buc Journal of the American Statistical Association 109 (505), 173-185, 2014 | 42 | 2014 |
| Copulas in vectorial hidden Markov chains for multicomponent image segmentation N Brunel, W Pieczynski, S Derrode Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 34 | 2005 |
| Modeling and unsupervised classification of multivariate hidden Markov chains with copulas NJB Brunel, J Lapuyade-Lahorgue, W Pieczynski IEEE Transactions on Automatic Control 55 (2), 338-349, 2009 | 27 | 2009 |
| The shapley value of coalition of variables provides better explanations SI Amoukou, NJB Brunel, T Salaün arXiv preprint arXiv:2103.13342, 2021 | 22* | 2021 |
| MAPIE: an open-source library for distribution-free uncertainty quantification V Taquet, V Blot, T Morzadec, L Lacombe, N Brunel arXiv preprint arXiv:2207.12274, 2022 | 21 | 2022 |
| Unsupervised signal restoration using copulas and pairwise Markov chains N Brunel, W Pieczynski IEEE Workshop on Statistical Signal Processing, 2003, 102-105, 2003 | 19 | 2003 |
| A tracking approach to parameter estimation in linear ordinary differential equations NJB Brunel, Q Clairon | 13 | 2015 |
| Consistent sufficient explanations and minimal local rules for explaining the decision of any classifier or regressor S I Amoukou, N Brunel Advances in Neural Information Processing Systems 35, 8027-8040, 2022 | 12* | 2022 |
| Humans are able to self-paced constant running accelerations until exhaustion V Billat, NJB Brunel, T Carbillet, S Labbé, A Samson Physica A: Statistical Mechanics and its Applications 506, 290-304, 2018 | 10 | 2018 |
| Adaptive conformal prediction by reweighting nonconformity score SI Amoukou, NJB Brunel arXiv preprint arXiv:2303.12695, 2023 | 9 | 2023 |
| Sur quelques extensions des chaînes de Markov cachées et couples. Applications à la segmentation non-supervisée de signaux radar. N Brunel Université Pierre et Marie Curie-Paris VI, 2005 | 9 | 2005 |
| Tracking for parameter and state estimation in possibly misspecified partially observed linear ordinary differential equations Q Clairon, NJB Brunel Journal of Statistical Planning and Inference 199, 188-206, 2019 | 6 | 2019 |
| The frenet-serret framework for aligning geometric curves NJB Brunel, J Park Geometric Science of Information: 4th International Conference, GSI 2019 …, 2019 | 6 | 2019 |
| Doppler and polarimetric statistical segmentation for radar clutter map based on pairwise Markov chains N Brunel, F Barbaresco Proc. of IEEE RADAR, 10-8, 2007 | 6 | 2007 |
| Curvature and Torsion estimation of 3D functional data: A geometric approach to build the mean shape under the Frenet Serret framework J Park, N Brunel, P Chassat arXiv preprint arXiv:2203.02398, 2022 | 5 | 2022 |
| Optimal control and additive perturbations help in estimating ill-posed and uncertain dynamical systems Q Clairon, NJB Brunel Journal of the American Statistical Association 113 (523), 1195-1209, 2018 | 5 | 2018 |
| Removing phase variability to extract a mean shape for juggling trajectories NJB Brunel, J Park | 5 | 2014 |
Quentin ClaironUniversity of Bordeaux, Inria Bordeaux Sud-Ouest, Inserm, Bordeaux Population Health Research Center, SISTM Team,Verified email at u-bordeaux.fr
