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Laetitia Chapel
Laetitia Chapel
Associate professor, Université de Bretagne Sud, laboratoire IRISA
Verified email at univ-ubs.fr
Title
Cited by
Cited by
Year
POT: Python Optimal Transport
R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ...
Journal of Machine Learning Research 22 (78), 1-8, 2021
1642021
Optimal Transport for structured data with application on graphs
T Vayer, L Chapel, R Flamary, R Tavenard, N Courty
International Conference on Machine Learning 97, 2019
137*2019
Approximating viability kernels with support vector machines
G Deffuant, L Chapel, S Martin
IEEE transactions on automatic control 52 (5), 933-937, 2007
882007
Sliced Gromov-Wasserstein
V Titouan, R Flamary, N Courty, R Tavenard, L Chapel
Advances in Neural Information Processing Systems, 14726-14736, 2019
66*2019
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties
T Vayer, L Chapel, R Flamary, R Tavenard, N Courty
arXiv preprint arXiv:1811.02834, 2018
49*2018
Partial Optimal Tranport with applications on Positive-Unlabeled Learning
L Chapel, G Gasso
Advances in Neural Information Processing Systems 33, 2020
44*2020
Defining yield policies in a viability approach
L Chapel, G Deffuant, S Martin, C Mullon
Ecological Modelling 212 (1-2), 10-15, 2008
432008
Streamflow scaling properties: investigating characteristic scales from different statistical approaches
E Sauquet, MH Ramos, L Chapel, P Bernardara
Hydrological Processes: An International Journal 22 (17), 3462-3475, 2008
362008
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification
A Bailly, S Malinowski, R Tavenard, L Chapel, T Guyet
International Workshop on Advanced Analytics and Learning on Temporal Data …, 2015
332015
Viability and resilience of languages in competition
L Chapel, X Castelló, C Bernard, G Deffuant, VM Eguíluz, S Martin, ...
Plos one 5 (1), e8681, 2010
302010
Bag-of-Temporal-SIFT-Words for Time Series Classification
A Bailly, S Malinowski, R Tavenard, T Guyet, L Chapel
ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, 2015
232015
Maintenir la viabilité ou la résilience d'un système: les machines à vecteurs de support pour rompre la malédiction de la dimensionnalité?
L Chapel
Université Blaise Pascal-Clermont-Ferrand II, 2007
232007
Hyperspectral image classification from multiscale description with constrained connectivity and metric learning
S Lefevre, L Chapel, F Merciol
IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014
212014
PerTurbo manifold learning algorithm for weakly labeled hyperspectral image classification
L Chapel, T Burger, N Courty, S Lefèvre
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
152014
Nonlinear Time-Series Adaptation for Land Cover Classification
A Bailly, L Chapel, R Tavenard, G Camps-Valls
IEEE Geoscience and Remote Sensing Letters 14 (6), 896-900, 2017
132017
SVM viability controller active learning
L Chapel, G Deffuant
Kernel machines for reinforcement learning workshop, Pittsburgh, PA, 2006
132006
SVM viability controller active learning: application to bike control
L Chapel, G Deffuant
2007 IEEE International Symposium on Approximate Dynamic Programming and …, 2007
122007
Probabilistic approaches to cheating detection in online games
L Chapel, D Botvich, D Malone
Proceedings of the 2010 IEEE Conference on Computational Intelligence and …, 2010
112010
Anomaly detection with score functions based on the reconstruction error of the kernel PCA
L Chapel, C Friguet
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
102014
Efficient Temporal Kernels between Feature Sets for Time Series Classification
R Tavenard, S Malinowski, L Chapel, A Bailly, H Sanchez, B Bustos
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
92017
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