Sandrine Mouysset

Orcid: 0000-0003-0407-0527

According to our database1, Sandrine Mouysset authored at least 27 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Seadra : a fully customizable and user-friendly application for image annotation and segmentation.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023
Introducing the Class of SemiDoubly Stochastic Matrices: A Novel Scaling Approach for Rectangular Matrices.
SIAM J. Matrix Anal. Appl., December, 2023

Emergence of Nestedness in the Public Internet Peering Ecosystem.
CoRR, 2023

DCH: A Deep Learning Approach To Universal Header Compression For The Internet of Things.
Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2023

A Kernel Extension of the Ensemble Transform Kalman Filter.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
Doubly stochastic scaling unifies community detection.
Neurocomputing, 2022

Global Internet public peering capacity of interconnection: a complex network analysis.
CoRR, 2022

NeCSTGen: An approach for realistic network traffic generation using Deep Learning.
Proceedings of the IEEE Global Communications Conference, 2022

Parallel Spectral Clustering with FEAST Library.
Proceedings of the Advanced Research in Technologies, Information, Innovation and Sustainability, 2022

2021
DPWTE: A Deep Learning Approach to Survival Analysis Using a Parsimonious Mixture of Weibull Distributions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

SPPNet: An Approach For Real-Time Encrypted Traffic Classification Using Deep Learning.
Proceedings of the IEEE Global Communications Conference, 2021

Dental Image Segmentation by Clustering Methods.
Proceedings of the Advanced Research in Technologies, Information, Innovation and Sustainability, 2021

2020
Unsupervised Human Pose Estimation on Depth Images.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2019
Uncovering Hidden Block Structure for Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Limiting over sampling to improve transmission schedulability in a mixed NoC/AFDX architecture.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

2018
Message scheduling to reduce AFDX jitter in a mixed NoC/AFDX architecture.
Proceedings of the 26th International Conference on Real-Time Networks and Systems, 2018

2016
Inferring Phonemic Classes from CNN Activation Maps Using Clustering Techniques.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2014
Symmetry-based alignment for 3D model retrieval.
Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing, 2014

Symmetry and Fourier Descriptor: A Hybrid Feature For NURBS based B-Rep Models Retrieval.
Proceedings of the 7th Eurographics Workshop on 3D Object Retrieval, 2014

2012
Vers un résumé automatique de séries télévisées basé sur une recherche multimodale d'histoires.
Document Numérique, 2012

Sparsification on Parallel Spectral Clustering.
Proceedings of the High Performance Computing for Computational Science, 2012

Parallel Spectral Clustering for the Segmentation of cDNA Microarray Images.
Proceedings of the 6th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2012

Spectral Clustering: Interpretation and Gaussian Parameter.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

2010
Contributions à l'étude de la classification spectrale et applications. (Contributions to the study of spectral clustering and applications).
PhD thesis, 2010

On a Strategy for Spectral Clustering with Parallel Computation.
Proceedings of the High Performance Computing for Computational Science - VECPAR 2010, 2010

2008
Using a Global Parameter for Gaussian Affinity Matrices in Spectral Clustering.
Proceedings of the High Performance Computing for Computational Science, 2008


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