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2020 – today
- 2024
[j19]Lucas de Lara, Alberto González-Sanz, Nicholas Asher, Laurent Risser, Jean-Michel Loubes:
Transport-based Counterfactual Models. J. Mach. Learn. Res. 25: 136:1-136:59 (2024)- [i15]Renan D. B. Brotto, Jean-Michel Loubes, Laurent Risser, Jean-Pierre Florens, Kenji Nose Filho, João M. T. Romano:
Debiasing Machine Learning Models by Using Weakly Supervised Learning. CoRR abs/2402.15477 (2024) - 2023
- [j18]Fanny Jourdan
, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser:
How Optimal Transport Can Tackle Gender Biases in Multi-Class Neural Network Classifiers for Job Recommendations. Algorithms 16(3): 174 (2023) - [j17]Laurent Risser, Agustin Martin Picard, Lucas Hervier, Jean-Michel Loubes:
Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning. Algorithms 16(11): 510 (2023) - [j16]Antoine Scardigli, Laurent Risser, Chihab Haddouche, Romain Jatiault:
Integrating Unordered Time Frames in Neural Networks: Application to the Detection of Natural Oil Slicks in Satellite Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [c27]Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher:
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP. ACL (Findings) 2023: 5120-5136 - [c26]Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser:
Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems? EWAF 2023 - [c25]Fanny Jourdan, Ronan Pons, Nicholas Asher, Jean-Michel Loubes, Laurent Risser:
Is a Fairness Metric Score Enough to Assess Discrimination Biases in Machine Learning? EWAF 2023 - [i14]Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser:
How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations? CoRR abs/2302.14063 (2023) - [i13]Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher:
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks. CoRR abs/2305.06754 (2023) - [i12]Fanny Jourdan, Laurent Risser, Jean-Michel Loubes, Nicholas Asher:
Are fairness metric scores enough to assess discrimination biases in machine learning? CoRR abs/2306.05307 (2023) - [i11]Romain Thoreau, Laurent Risser, Véronique Achard, Béatrice Berthelot, Xavier Briottet:
Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques. CoRR abs/2311.08863 (2023) - [i10]Fanny Jourdan, Louis Béthune, Agustin Picard, Laurent Risser, Nicholas Asher:
TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability. CoRR abs/2312.06499 (2023) - 2022
- [j15]Laurent Risser, Alberto González-Sanz, Quentin Vincenot, Jean-Michel Loubes:
Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization. J. Math. Imaging Vis. 64(6): 672-689 (2022) - [c24]Romain Thoreau, Véronique Achard, Laurent Risser, Béatrice Berthelot, Xavier Briottet:
Probabilistic Breaking Tie: An Active Learning Strategy To Leverage Class Hierarchy For Impervious Surfaces Classification. WHISPERS 2022: 1-5 - [i9]Laurent Risser, Agustin Martin Picard, Lucas Hervier, Jean-Michel Loubes:
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis. CoRR abs/2210.04491 (2022) - [i8]Romain Thoreau, Laurent Risser, Véronique Achard, Béatrice Berthelot, Xavier Briottet:
p3VAE: a physics-integrated generative model. Application to the semantic segmentation of optical remote sensing images. CoRR abs/2210.10418 (2022) - 2021
- [j14]Camille Champion, Anne-Claire Brunet, Rémy Burcelin, Jean-Michel Loubes, Laurent Risser:
Detection of Representative Variables in Complex Systems with Interpretable Rules Using Core-Clusters. Algorithms 14(2): 66 (2021) - 2020
- [c23]Éloïse Grossiord, Laurent Risser, Salim Kanoun, Soléakhéna Ken, François Malgouyres:
Learning Optimal Shape Representations for Multi-Modal Image Registration. ISBI 2020: 722-725 - [i7]Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes, Laurent Risser:
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set. CoRR abs/2003.14263 (2020) - [i6]Camille Champion, Mélanie Blazère, Rémy Burcelin, Jean-Michel Loubes, Laurent Risser:
Robust spectral clustering using LASSO regularization. CoRR abs/2004.03845 (2020)
2010 – 2019
- 2019
- [i5]Laurent Risser, Quentin Vincenot, Nicolas P. Couellan, Jean-Michel Loubes:
Using Wasserstein-2 regularization to ensure fair decisions with Neural-Network classifiers. CoRR abs/1908.05783 (2019) - 2018
- [b1]Laurent Risser:
Mathematical models and numerical methods for the analysis of medical images and complex data. (Modèles Mathématiques et Méthodes Numériques pour l'Analyse d'Images Médicales et de Données Complexes). Paul Sabatier University, Toulouse, France, 2018 - [j13]Sébastien Gadat, Ioana Gavra, Laurent Risser:
How to Calculate the Barycenter of a Weighted Graph. Math. Oper. Res. 43(4): 1085-1118 (2018) - [j12]Thais Roque, Laurent Risser, Veerle Kersemans, Sean Smart, Danny Allen, Paul Kinchesh, Stuart Gilchrist, Ana L. Gomes, Julia A. Schnabel, Michael A. Chappell:
A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth. IEEE Trans. Medical Imaging 37(3): 724-732 (2018) - [c22]Laurent Risser, Soléakhéna Ken, Sandra Lebreton, Éloïse Grossiord, Salim Kanoun, François Malgouyres:
Regularized multi-label fast marching and application to whole-body image segmentation. ISBI 2018: 1323-1326 - [c21]Gersende Fort, Laurent Risser, Yves F. Atchadé, Eric Moulines:
Stochastic Fista Algorithms: So Fast ? SSP 2018: 796-800 - [i4]Ioana Gavra, Laurent Risser:
Online Barycenter Estimation of Large Weighted Graphs. CoRR abs/1803.11137 (2018) - [i3]Camille Champion, Anne-Claire Brunet, Jean-Michel Loubes, Laurent Risser:
COREclust: a new package for a robust and scalable analysis of complex data. CoRR abs/1805.10211 (2018) - [i2]François Bachoc, Fabrice Gamboa, Jean-Michel Loubes, Laurent Risser:
Entropic Variable Boosting for Explainability and Interpretability in Machine Learning. CoRR abs/1810.07924 (2018) - 2015
- [c20]Russell Bates, Laurent Risser, Benjamin Irving, Bartlomiej W. Papiez, Pavitra Kannan, Veerle Kersemans, Julia A. Schnabel:
Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information. MICCAI (3) 2015: 157-164 - [i1]Jean-Marie Mirebeau, Jérôme Fehrenbach, Laurent Risser, Shaza Tobji:
Anisotropic Diffusion in ITK. CoRR abs/1503.00992 (2015) - 2014
- [j11]Bartlomiej W. Papiez, Mattias P. Heinrich, Jérôme Fehrenbach, Laurent Risser, Julia A. Schnabel:
An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration. Medical Image Anal. 18(8): 1299-1311 (2014) - [j10]Sophie Ribes, David Didierlaurent, Nicolas Decoster, Eric Gonneau, Laurent Risser, Viviane Feillel, Olivier Caselles:
Automatic Segmentation of Breast MR Images Through a Markov Random Field Statistical Model. IEEE Trans. Medical Imaging 33(10): 1986-1996 (2014) - [c19]Laurent Risser, Lionel Dolius, Caroline Fonta, Muriel Mescam:
Diffeomorphic registration with self-adaptive spatial regularization for the segmentation of non-human primate brains. EMBC 2014: 6695-6698 - [c18]François-Xavier Vialard, Laurent Risser:
Spatially-Varying Metric Learning for Diffeomorphic Image Registration: A Variational Framework. MICCAI (1) 2014: 227-234 - 2013
- [j9]Laurent Risser, François-Xavier Vialard, Habib Y. Baluwala, Julia A. Schnabel:
Piecewise-diffeomorphic image registration: Application to the motion estimation between 3D CT lung images with sliding conditions. Medical Image Anal. 17(2): 182-193 (2013) - [j8]Amalia Cifor, Laurent Risser, Daniel Chung, Ewan M. Anderson, Julia A. Schnabel:
Hybrid Feature-Based Diffeomorphic Registration for Tumor Tracking in 2-D Liver Ultrasound Images. IEEE Trans. Medical Imaging 32(9): 1647-1656 (2013) - [c17]Bartlomiej W. Papiez, Mattias Paul Heinrich, Laurent Risser, Julia A. Schnabel:
Complex Lung Motion Estimation via Adaptive Bilateral Filtering of the Deformation Field. MICCAI (3) 2013: 25-32 - [c16]Amalia Cifor, Laurent Risser, Mattias P. Heinrich, Daniel Chung, Julia A. Schnabel:
Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours. Abdominal Imaging 2013: 155-164 - [c15]Tanya Schmah, Laurent Risser, François-Xavier Vialard:
Left-Invariant Metrics for Diffeomorphic Image Registration with Spatially-Varying Regularisation. MICCAI (1) 2013: 203-210 - 2012
- [j7]François-Xavier Vialard, Laurent Risser, Daniel Rueckert, Colin J. Cotter:
Diffeomorphic 3D Image Registration via Geodesic Shooting Using an Efficient Adjoint Calculation. Int. J. Comput. Vis. 97(2): 229-241 (2012) - [j6]Martins Bruveris, Laurent Risser, François-Xavier Vialard:
Mixture of Kernels and Iterated Semidirect Product of Diffeomorphisms Groups. Multiscale Model. Simul. 10(4): 1344-1368 (2012) - [j5]Romain Guibert, Caroline Fonta, Laurent Risser, Franck Plouraboué:
Coupling and robustness of intra-cortical vascular territories. NeuroImage 62(1): 408-417 (2012) - [c14]Amalia Cifor, Laurent Risser, Daniel Chung, Ewan M. Anderson, Julia A. Schnabel:
Hybrid feature-based Log-Demons registration for tumour tracking in 2-D liver ultrasound images. ISBI 2012: 724-727 - [c13]Laurent Risser, Mattias P. Heinrich, Tahreema N. Matin, Julia A. Schnabel:
Piecewise-diffeomorphic registration of 3D CT/MR pulmonary images with sliding conditions. ISBI 2012: 1351-1354 - [c12]Jean-Baptiste Fiot, Laurent Risser, Laurent D. Cohen, Jurgen Fripp, François-Xavier Vialard:
Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer's Longitudinal Population Analysis. STIA 2012: 13-24 - 2011
- [j4]Laurent Risser, François-Xavier Vialard, Robin Wolz, Maria Murgasova, Darryl D. Holm, Daniel Rueckert:
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping. IEEE Trans. Medical Imaging 30(10): 1746-1759 (2011) - [j3]Laurent Risser, Thomas Vincent, Florence Forbes, Jérôme Idier, Philippe Ciuciu:
Min-max Extrapolation Scheme for Fast Estimation of 3D Potts Field Partition Functions. Application to the Joint Detection-Estimation of Brain Activity in fMRI. J. Signal Process. Syst. 65(3): 325-338 (2011) - [c11]Manav Bhushan, Julia A. Schnabel, Laurent Risser, Mattias P. Heinrich, J. Michael Brady, Mark Jenkinson:
Motion Correction and Parameter Estimation in dceMRI Sequences: Application to Colorectal Cancer. MICCAI (1) 2011: 476-483 - [c10]François-Xavier Vialard, Laurent Risser, Darryl D. Holm, Daniel Rueckert:
Diffeomorphic Atlas Estimation using Karcher Mean and Geodesic Shooting on Volumetric Images. MIUA 2011: 55-60 - 2010
- [j2]Thomas Vincent, Laurent Risser, Philippe Ciuciu:
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series. IEEE Trans. Medical Imaging 29(4): 1059-1074 (2010) - [c9]Dong Ping Zhang, Laurent Risser, Coert Metz, Lisan Neefjes, Nico Mollet, Wiro J. Niessen, Daniel Rueckert:
Coronary artery motion modeling from 3D cardiac CT sequences using template matching and graph search. ISBI 2010: 1053-1056 - [c8]Dong Ping Zhang, Laurent Risser, François-Xavier Vialard, Philip J. Edwards, Coert Metz, Lisan Neefjes, Nico Mollet, Wiro J. Niessen, Daniel Rueckert:
Coronary Motion Estimation from CTA Using Probability Atlas and Diffeomorphic Registration. MIAR 2010: 78-87 - [c7]Laurent Risser, François-Xavier Vialard, Robin Wolz, Darryl D. Holm, Daniel Rueckert:
Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease. MICCAI (2) 2010: 610-617 - [c6]Laurent Risser, François-Xavier Vialard, Maria Murgasova, Darryl D. Holm, Daniel Rueckert:
Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies. WBIR 2010: 186-197 - [c5]Dong Ping Zhang, Laurent Risser, Ola Friman, Coert Metz, Lisan Neefjes, Nico Mollet, Wiro J. Niessen, Daniel Rueckert:
Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA. WBIR 2010: 210-221
2000 – 2009
- 2009
- [c4]Anne-Laure Fouque, Philippe Ciuciu, Laurent Risser:
Multivariate Spatial Gaussian Mixture Modeling for statistical clustering of hemodynamic parameters in functional MRI. ICASSP 2009: 445-448 - [c3]Laurent Risser, Jérôme Idier, Philippe Ciuciu, Thomas Vincent:
Fast bilinear extrapolation of 3D ising field partition function. application to fMRI image analysis. ICIP 2009: 833-836 - [c2]Laurent Risser, Thomas Vincent, Philippe Ciuciu, Jérôme Idier:
Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis. MICCAI (1) 2009: 975-983 - 2008
- [j1]Laurent Risser, Franck Plouraboué, Xavier Descombes:
Gap Filling of 3-D Microvascular Networks by Tensor Voting. IEEE Trans. Medical Imaging 27(5): 674-687 (2008) - 2007
- [c1]Laurent Risser, Franck Plouraboué, Xavier Descombes:
Gap filling in 3D vessel like patterns with tensor fields - application to high resolution computed tomography images of vessel networks. VISAPP (1) 2007: 46-52
Coauthor Index
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