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ORCIDLaetitia Chapel
Person information
- affiliation: Southern Brittany University, IRISA, Vannes, France
- affiliation: National University of Ireland, Hamilton Institute, Maynooth, Ireland
- affiliation (PhD 2007): Blaise Pascal University, Clermont-Ferrand, France
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2020 – today
- 2024
[j9]Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre:
Hyperbolic prototypical network for few shot remote sensing scene classification. Pattern Recognit. Lett. 177: 151-156 (2024)- 2023
- [j8]Pierre Gloaguen
, Laetitia Chapel, Chloé Friguet, Romain Tavenard:
Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data. Mach. Learn. 112(6): 1975-2001 (2023) - [c22]Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre:
Hyperbolic Variational Auto-Encoder for Remote Sensing Scene Embeddings. IGARSS 2023: 5391-5394 - [c21]Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty:
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. NeurIPS 2023 - [c20]François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard:
Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. ECML/PKDD (5) 2023: 341-356 - [c19]Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty:
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. TAG-ML 2023: 334-370 - [i13]Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty:
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. CoRR abs/2307.01770 (2023) - [i12]François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard:
Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment. CoRR abs/2308.12686 (2023) - 2022
- [b2]Laetitia Chapel:
Machine learning for structured data. (Apprentissage machine pour données structurées). University of Southern Brittany, Vannes, Morbihan, France, 2022 - [j7]Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard:
Time Series Alignment with Global Invariances. Trans. Mach. Learn. Res. 2022 (2022) - [c18]Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre:
A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification. ICPRAI (2) 2022: 208-220 - [i11]Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty:
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. CoRR abs/2211.10066 (2022) - 2021
- [j6]Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T. H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer:
POT: Python Optimal Transport. J. Mach. Learn. Res. 22: 78:1-78:8 (2021) - [c17]Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso:
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. NeurIPS 2021: 23270-23282 - [i10]Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso:
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. CoRR abs/2106.04145 (2021) - 2020
- [j5]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms 13(9): 212 (2020) - [c16]Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso:
Partial Optimal Tranport with applications on Positive-Unlabeled Learning. NeurIPS 2020 - [i9]Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard:
Time Series Alignment with Global Invariances. CoRR abs/2002.03848 (2020) - [i8]Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso:
Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning. CoRR abs/2002.08276 (2020)
2010 – 2019
- 2019
- [c15]Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary:
Optimal Transport for structured data with application on graphs. ICML 2019: 6275-6284 - [c14]Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel:
Sliced Gromov-Wasserstein. NeurIPS 2019: 14726-14736 - [i7]Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty:
Sliced Gromov-Wasserstein. CoRR abs/1905.10124 (2019) - 2018
- [i6]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Optimal Transport for structured data. CoRR abs/1805.09114 (2018) - [i5]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. CoRR abs/1811.02834 (2018) - 2017
- [j4]Adeline Bailly, Laetitia Chapel, Romain Tavenard, Gustau Camps-Valls:
Nonlinear Time-Series Adaptation for Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. 14(6): 896-900 (2017) - [j3]Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre:
Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification. Remote. Sens. 9(3): 196 (2017) - [c13]Romain Tavenard, Simon Malinowski, Laetitia Chapel, Adeline Bailly, Heider Sanchez, Benjamin Bustos:
Efficient Temporal Kernels Between Feature Sets for Time Series Classification. ECML/PKDD (2) 2017: 528-543 - 2016
- [c12]Adeline Bailly, Damien Arvor, Laetitia Chapel, Romain Tavenard:
Classification of MODIS time series with Dense Bag-of-Temporal-SIFT-Words: Application to cropland mapping in the Brazilian Amazon. IGARSS 2016: 2300-2303 - [c11]Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre:
Combining multiscale features for classification of hyperspectral images: A sequence-based kernel approach. WHISPERS 2016: 1-5 - [i4]Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Laetitia Chapel:
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. CoRR abs/1601.01799 (2016) - [i3]Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre:
A Subpath Kernel for Learning Hierarchical Image Representations. CoRR abs/1604.01787 (2016) - [i2]Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre:
Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach. CoRR abs/1606.04985 (2016) - [i1]Yanwei Cui, Sébastien Lefèvre, Laetitia Chapel, Anne Puissant:
Combining multiple resolutions into hierarchical representations for kernel-based image classification. CoRR abs/1607.02654 (2016) - 2015
- [c10]Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre:
A Subpath Kernel for Learning Hierarchical Image Representations. GbRPR 2015: 34-43 - [c9]Adeline Bailly, Simon Malinowski, Romain Tavenard, Laetitia Chapel, Thomas Guyet:
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 17-30 - [c8]Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Lætitia Chapel:
Bag-of-Temporal-SIFT-Words for Time Series Classification. AALTD@PKDD/ECML 2015 - 2014
- [j2]Laetitia Chapel, Thomas Burger, Nicolas Courty, Sébastien Lefèvre:
PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1070-1078 (2014) - [c7]Laetitia Chapel, Chloé Friguet:
Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCA. ECML/PKDD (1) 2014: 227-241 - [c6]Sébastien Lefèvre, Laetitia Chapel, François Merciol:
Hyperspectral image classification from multiscale description with constrained connectivity and metric learning. WHISPERS 2014: 1-4 - 2012
- [c5]Laetitia Chapel, Thomas Burger, Nicolas Courty, Sébastien Lefèvre:
Classwise hyperspectral image classification with PerTurbo method. IGARSS 2012: 6883-6886 - 2011
- [c4]Laetitia Chapel, Guillaume Deffuant:
Inner and Outer Capture Basin Approximation with Support Vector Machines. ICINCO (1) 2011: 34-40 - [c3]John Keeney, Owen Conlan, Viliam Holub, Miao Wang, Laetitia Chapel, Martin Serrano, Sven van der Meer:
A semantic monitoring and management framework for end-to-end services. Integrated Network Management 2011: 658-661 - 2010
- [c2]Laetitia Chapel, Douglas J. Leith:
Sparse input matrix and state estimation for linear systems. CDC 2010: 4441-4446 - [c1]Laetitia Chapel, Dmitri Botvich, David Malone:
Probabilistic approaches to cheating detection in online games. CIG 2010: 195-201
2000 – 2009
- 2007
- [b1]Laëtitia Chapel:
Maintenir la viabilité ou la résilience d'un système : les machines à vecteurs de support pour rompre la malédiction de la dimensionnalité ? Blaise Pascal University, Clermont-Ferrand, France, 2007 - [j1]Guillaume Deffuant, Laetitia Chapel, Sophie Martin:
Approximating Viability Kernels With Support Vector Machines. IEEE Trans. Autom. Control. 52(5): 933-937 (2007)
Coauthor Index
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last updated on 2024-09-13 00:43 CEST by the dblp team
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