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Journal Articles
- 2025
[j16]Imen Trabelsi
, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso:
Postural regulation and signal segmentation using clustering with TV regularization approach. Biomed. Signal Process. Control. 99: 106808 (2025)- 2024
- [j15]Benjamin Deguerre, Clément Chatelain, Gilles Gasso:
End-to-End Traffic Flow Rate Estimation From MPEG4 part-2 Compressed Video Streams. IEEE Trans. Intell. Transp. Syst. 25(8): 8949-8959 (2024) - 2022
- [j14]Komi Midzodzi Pekpe, Djamel Zitouni, Gilles Gasso, Wajdi Dhifli, Benjamin C. Guinhouya:
From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19. Appl. Intell. 52(1): 71-80 (2022) - [j13]Imen Trabelsi, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso:
Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach. Comput. Biol. Medicine 143: 105193 (2022) - [j12]Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu:
Physically-admissible polarimetric data augmentation for road-scene analysis. Comput. Vis. Image Underst. 222: 103495 (2022) - [j11]Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy:
Theoretical guarantees for bridging metric measure embedding and optimal transport. Neurocomputing 468: 416-430 (2022) - [j10]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty:
Optimal transport for conditional domain matching and label shift. Mach. Learn. 111(5): 1651-1670 (2022) - 2020
- [j9]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise conditioned generative adversarial networks for image synthesis and completion. Neurocomputing 416: 218-230 (2020) - 2019
- [j8]Eric Laloy, Niklas Linde, Cyprien Ruffino, Romain Hérault, Gilles Gasso, Diederik Jacques:
Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible? Comput. Geosci. 133 (2019) - [j7]Imad Rida, Romain Hérault, Gian Luca Marcialis, Gilles Gasso:
Palmprint recognition with an efficient data driven ensemble classifier. Pattern Recognit. Lett. 126: 21-30 (2019) - 2016
- [j6]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso:
DC Proximal Newton for Nonconvex Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. 27(3): 636-647 (2016) - 2015
- [j5]Alain Rakotomamonjy, Gilles Gasso:
Histogram of Gradients of Time-Frequency Representations for Audio Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 23(1): 142-153 (2015) - 2012
- [j4]Xilan Tian, Gilles Gasso, Stéphane Canu:
A multiple kernel framework for inductive semi-supervised SVM learning. Neurocomputing 90: 46-58 (2012) - 2011
- [j3]Gilles Gasso, Aristidis Pappaioannou, Marina Spivak, Léon Bottou:
Batch and online learning algorithms for nonconvex neyman-pearson classification. ACM Trans. Intell. Syst. Technol. 2(3): 28:1-28:19 (2011) - [j2]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu:
ellp-ellq Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning. IEEE Trans. Neural Networks 22(8): 1307-1320 (2011) - 2009
- [j1]Gilles Gasso, Alain Rakotomamonjy, Stéphane Canu:
Recovering sparse signals with a certain family of nonconvex penalties and DC programming. IEEE Trans. Signal Process. 57(12): 4686-4698 (2009)
Conference and Workshop Papers
- 2024
- [c31]Corentin Bunel, Maxime Guériau, Alaa Daoud, Samia Ainouz, Gilles Gasso:
Addressing Open-set Object Detection for Autonomous Driving perception: A focus on road objects. IV 2024: 1564-1571 - [c30]Jordan Patracone, Paul Viallard, Emilie Morvant, Gilles Gasso, Amaury Habrard, Stéphane Canu:
A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint. ECML/PKDD (4) 2024: 283-300 - [c29]Jordan Patracone, Lucas Anquetil, Yuan Liu, Gilles Gasso, Stéphane Canu:
Linear Modeling of the Adversarial Noise Space. ECML/PKDD (4) 2024: 301-317 - 2023
- [c28]Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty:
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. NeurIPS 2023 - 2022
- [c27]Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso:
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. AISTATS 2022: 5196-5211 - [c26]Mohammad Abdollahi, Romain Serizel, Alain Rakotomamonjy, Gilles Gasso:
Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct Approach. DCASE 2022 - [c25]Michel Olvera, Emmanuel Vincent, Gilles Gasso:
On The Impact of Normalization Strategies in Unsupervised Adversarial Domain Adaptation for Acoustic Scene Classification. ICASSP 2022: 631-635 - [c24]Jordan Frécon, Gilles Gasso, Massimiliano Pontil, Saverio Salzo:
Bregman Neural Networks. ICML 2022: 6779-6792 - 2021
- [c23]Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso:
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. NeurIPS 2021: 23270-23282 - 2020
- [c22]Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso:
Foreground-Background Ambient Sound Scene Separation. EUSIPCO 2020: 281-285 - [c21]Benjamin Deguerre, Clément Chatelain, Gilles Gasso:
Object Detection in the DCT Domain: is Luminance the Solution? ICPR 2020: 2627-2634 - [c20]Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso:
Partial Optimal Tranport with applications on Positive-Unlabeled Learning. NeurIPS 2020 - [c19]Anna Aniszewska-Stepien, Romain Hérault, Guillaume Hacques, Ludovic Seifert, Gilles Gasso:
Learning from Partially Labeled Sequences for Behavioral Signal Annotation. MLSA@PKDD/ECML 2020: 126-139 - [c18]Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso:
Open Set Domain Adaptation Using Optimal Transport. ECML/PKDD (1) 2020: 412-435 - 2019
- [c17]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise Conditioning of Generative Adversarial Networks. ESANN 2019 - [c16]Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon:
Screening rules for Lasso with non-convex Sparse Regularizers. ICML 2019: 5341-5350 - [c15]Benjamin Deguerre, Clément Chatelain, Gilles Gasso:
Fast object detection in compressed JPEG Images. ITSC 2019: 333-338 - [c14]Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy:
Screening Sinkhorn Algorithm for Regularized Optimal Transport. NeurIPS 2019: 12169-12179 - 2015
- [c13]Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso:
Importance sampling strategy for non-convex randomized block-coordinate descent. CAMSAP 2015: 301-304 - 2014
- [c12]Imad Rida, Romain Hérault, Gilles Gasso:
Supervised Music Chord Recognition. ICMLA 2014: 336-341 - 2013
- [c11]Yachen Zhu, Xilan Tian, Guobing Wu, Gilles Gasso, Shangfei Wang, Stéphane Canu:
Emotional Influence on SSVEP Based BCI. ACII 2013: 859-864 - 2012
- [c10]Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy:
Oblique principal subspace tracking on manifold. ICASSP 2012: 2429-2432 - [c9]Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy:
Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. ICML 2012 - 2011
- [c8]Xilan Tian, Gilles Gasso, Stéphane Canu:
A Multi-kernel Framework for Inductive Semi-supervised Learning. ESANN 2011 - [c7]Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy:
A supervised strategy for deep kernel machine. ESANN 2011 - 2008
- [c6]Karina Zapien Arreola, Thomas Gärtner, Gilles Gasso, Stéphane Canu:
Regularization path for Ranking SVM. ESANN 2008: 415-420 - 2007
- [c5]Gilles Gasso, Karina Zapien Arreola, Stéphane Canu:
Computing and stopping the solution paths for $\nu$-SVR. ESANN 2007: 253-258 - [c4]Karina Zapien Arreola, Gilles Gasso, Stéphane Canu:
Estimation of tangent planes for neighborhood graph correction. ESANN 2007: 397-402 - [c3]Gilles Gasso, Karina Zapien Arreola, Stéphane Canu:
Sparsity regularization path for semi-supervised SVM. ICMLA 2007: 25-30 - [c2]Gaëlle Loosli, Gilles Gasso, Stéphane Canu:
Regularization Paths for nu -SVM and nu -SVR. ISNN (3) 2007: 486-496 - [c1]Gilles Gasso, Karina Zapien Arreola, Stéphane Canu:
Smoothness and sparsity tuning for Semi-Supervised SVM. NATO ASI Mining Massive Data Sets for Security 2007: 85-86
Informal and Other Publications
- 2024
- [i25]Mokhtar Z. Alaya, Alain Rakotomamonjy, Maxime Berar, Gilles Gasso:
Gaussian-Smoothed Sliced Probability Divergences. CoRR abs/2404.03273 (2024) - 2023
- [i24]Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty:
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. CoRR abs/2307.01770 (2023) - [i23]Marwa Kechaou, Mokhtar Z. Alaya, Romain Hérault, Gilles Gasso:
Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples. CoRR abs/2312.07370 (2023) - 2022
- [i22]Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu:
Physically-admissible polarimetric data augmentation for road-scene analysis. CoRR abs/2206.07431 (2022) - 2021
- [i21]Mokhtar Z. Alaya, Gilles Gasso, Maxime Berar, Alain Rakotomamonjy:
Distributional Sliced Embedding Discrepancy for Incomparable Distributions. CoRR abs/2106.02542 (2021) - [i20]Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso:
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. CoRR abs/2106.04145 (2021) - [i19]Komi Midzodzi Pékpé, Djamel Zitouni, Gilles Gasso, Wajdi Dhifli, Benjamin C. Guinhouya:
From SIR to SEAIRD: a novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19. CoRR abs/2106.11918 (2021) - [i18]Alain Rakotomamonjy, Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso:
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences. CoRR abs/2110.10524 (2021) - 2020
- [i17]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion. CoRR abs/2002.01281 (2020) - [i16]Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso:
Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning. CoRR abs/2002.08276 (2020) - [i15]Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy:
Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport. CoRR abs/2002.08314 (2020) - [i14]Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso:
Foreground-Background Ambient Sound Scene Separation. CoRR abs/2005.07006 (2020) - [i13]Benjamin Deguerre, Clément Chatelain, Gilles Gasso:
Object Detection in the DCT Domain: is Luminance the Solution? CoRR abs/2006.05732 (2020) - [i12]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty:
Match and Reweight Strategy for Generalized Target Shift. CoRR abs/2006.08161 (2020) - [i11]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Joseph Salmon:
Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression. CoRR abs/2006.13533 (2020) - [i10]Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso:
Open Set Domain Adaptation using Optimal Transport. CoRR abs/2010.01045 (2020) - 2019
- [i9]Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon:
Screening Rules for Lasso with Non-Convex Sparse Regularizers. CoRR abs/1902.06125 (2019) - [i8]Benjamin Deguerre, Clément Chatelain, Gilles Gasso:
Fast object detection in compressed JPEG Images. CoRR abs/1904.08408 (2019) - [i7]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation. CoRR abs/1905.08613 (2019) - [i6]Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy:
Screening Sinkhorn Algorithm for Regularized Optimal Transport. CoRR abs/1906.08540 (2019) - [i5]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise Conditioning of Generative Adversarial Networks. CoRR abs/1911.00689 (2019) - 2018
- [i4]Imad Rida, Romain Hérault, Gilles Gasso:
An efficient supervised dictionary learning method for audio signal recognition. CoRR abs/1812.04748 (2018) - 2016
- [i3]Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso:
Importance sampling strategy for non-convex randomized block-coordinate descent. CoRR abs/1606.07286 (2016) - 2015
- [i2]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso:
DC Proximal Newton for Non-Convex Optimization Problems. CoRR abs/1507.00438 (2015) - [i1]Alain Rakotomamonjy, Gilles Gasso:
Histogram of gradients of Time-Frequency Representations for Audio scene detection. CoRR abs/1508.04909 (2015)
Coauthor Index
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