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2020 – today
- 2024
[c21]Jules Morata, David Bernard, Kévin Cortacero, Clément Eloire, Mehdi Ech-Chouini, Emmanuelle Vigarios, Steven Ceccarel, Delphine Comtesse-Maret, Thomas Filleron, Sandrine Mouysset, Sylvain Cussat-Blanc:
Seadra : a fully customizable and user-friendly application for image annotation and segmentation. CBMS 2024: 473-476- 2023
- [j3]Philip A. Knight, Luce le Gorrec
, Sandrine Mouysset, Daniel Ruiz:
Introducing the Class of SemiDoubly Stochastic Matrices: A Novel Scaling Approach for Rectangular Matrices. SIAM J. Matrix Anal. Appl. 44(4): 1731-1748 (2023) - [c20]Sophie Mauran, Sandrine Mouysset, Ehouarn Simon, Laurent Bertino:
A Kernel Extension of the Ensemble Transform Kalman Filter. ICCS (4) 2023: 438-452 - [c19]Fabien Meslet-Millet, Sandrine Mouysset, Emmanuel Chaput:
DCH: A Deep Learning Approach To Universal Header Compression For The Internet of Things. MSWiM 2023: 269-276 - [i2]Justin Loye, Sandrine Mouysset, Katia Jaffrès-Runser:
Emergence of Nestedness in the Public Internet Peering Ecosystem. CoRR abs/2312.09544 (2023) - 2022
- [j2]Luce le Gorrec, Sandrine Mouysset, Daniel Ruiz:
Doubly stochastic scaling unifies community detection. Neurocomputing 504: 141-162 (2022) - [c18]Saad Mdaa, Anass Ouali Alami, Ronan Guivarch, Sandrine Mouysset:
Parallel Spectral Clustering with FEAST Library. ARTIIS (1) 2022: 127-138 - [c17]Fabien Meslet-Millet, Sandrine Mouysset, Emmanuel Chaput:
NeCSTGen: An approach for realistic network traffic generation using Deep Learning. GLOBECOM 2022: 3108-3113 - [i1]Justin Loye, Sandrine Mouysset, Marc Bruyère, Katia Jaffrès-Runser:
Global Internet public peering capacity of interconnection: a complex network analysis. CoRR abs/2206.05146 (2022) - 2021
- [c16]Carlos Balsa, Cláudio Alves, Ronan Guivarch, Sandrine Mouysset:
Dental Image Segmentation by Clustering Methods. ARTIIS 2021: 3-17 - [c15]Fabien Meslet-Millet, Emmanuel Chaput, Sandrine Mouysset:
SPPNet: An Approach For Real-Time Encrypted Traffic Classification Using Deep Learning. GLOBECOM 2021: 1-6 - [c14]Achraf Bennis, Sandrine Mouysset, Mathieu Serrurier:
DPWTE: A Deep Learning Approach to Survival Analysis Using a Parsimonious Mixture of Weibull Distributions. ICANN (2) 2021: 185-196 - 2020
- [c13]Achraf Bennis, Sandrine Mouysset, Mathieu Serrurier:
Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis. PAKDD (1) 2020: 687-698 - [c12]Thibault Blanc-Beyne, Axel Carlier, Sandrine Mouysset, Vincent Charvillat:
Unsupervised Human Pose Estimation on Depth Images. ECML/PKDD (4) 2020: 358-373
2010 – 2019
- 2019
- [c11]Sandrine Mouysset, Jérôme Ermont, Jean-Luc Scharbarg:
Limiting over sampling to improve transmission schedulability in a mixed NoC/AFDX architecture. ETFA 2019: 274-281 - [c10]Luce le Gorrec, Sandrine Mouysset, Iain S. Duff, Philip A. Knight, Daniel Ruiz:
Uncovering Hidden Block Structure for Clustering. ECML/PKDD (1) 2019: 140-155 - 2018
- [c9]Jérôme Ermont, Sandrine Mouysset, Jean-Luc Scharbarg, Christian Fraboul:
Message scheduling to reduce AFDX jitter in a mixed NoC/AFDX architecture. RTNS 2018: 234-242 - 2016
- [c8]Thomas Pellegrini, Sandrine Mouysset:
Inferring Phonemic Classes from CNN Activation Maps Using Clustering Techniques. INTERSPEECH 2016: 1290-1294 - 2014
- [c7]Quoc-Viet Dang, Géraldine Morin, Sandrine Mouysset:
Symmetry and Fourier Descriptor: A Hybrid Feature For NURBS based B-Rep Models Retrieval. 3DOR@Eurographics 2014: 45-52 - [c6]Quoc-Viet Dang, Sandrine Mouysset, Géraldine Morin:
Symmetry-based alignment for 3D model retrieval. CBMI 2014: 1-6 - 2012
- [j1]Philippe Ercolessi, Christine Sénac, Hervé Bredin, Sandrine Mouysset:
Vers un résumé automatique de séries télévisées basé sur une recherche multimodale d'histoires. Document Numérique 15(2): 41-66 (2012) - [c5]Sandrine Mouysset, Joseph Noailles, Daniel Ruiz, Clovis Tauber:
Spectral Clustering: Interpretation and Gaussian Parameter. GfKl 2012: 153-162 - [c4]Sandrine Mouysset, Ronan Guivarch, Joseph Noailles, Daniel Ruiz:
Parallel Spectral Clustering for the Segmentation of cDNA Microarray Images. PACBB 2012: 1-9 - [c3]Sandrine Mouysset, Ronan Guivarch:
Sparsification on Parallel Spectral Clustering. VECPAR 2012: 249-260 - 2010
- [b1]Sandrine Mouysset:
Contributions à l'étude de la classification spectrale et applications. (Contributions to the study of spectral clustering and applications). National Polytechnic Institute of Toulouse, France, 2010 - [c2]Sandrine Mouysset, Joseph Noailles, Daniel Ruiz, Ronan Guivarch:
On a Strategy for Spectral Clustering with Parallel Computation. VECPAR 2010: 408-420
2000 – 2009
- 2008
- [c1]Sandrine Mouysset, Joseph Noailles, Daniel Ruiz:
Using a Global Parameter for Gaussian Affinity Matrices in Spectral Clustering. VECPAR 2008: 378-390
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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