Stéphane Chrétien
Orcid: 0000-0002-4544-1315
According to our database1,
Stéphane Chrétien
authored at least 54 papers
between 1995 and 2024.
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Bibliography
2024
2023
J. Supercomput., May, 2023
CoRR, 2023
Amélioration de l'architecture GAT par la prise en compte de la courbure des arêtes du graphe.
Proceedings of the Extraction et Gestion des Connaissances, 2023
Leveraging the Power of Signatures for the Construction of Topological Complexes for the Analysis of Multivariate Complex Dynamics.
Proceedings of the Complex Networks & Their Applications XII, 2023
2022
Low tubal rank tensor recovery using the Bürer-Monteiro factorisation approach. Application to optical coherence tomography.
J. Comput. Appl. Math., 2022
2021
Ant Colony-Based Hyperparameter Optimisation in Total Variation Reconstruction in X-ray Computed Tomography.
Sensors, 2021
Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature.
J. Mach. Learn. Res., 2021
Proceedings of the Geometric Science of Information - 6th International Conference, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms, 2021
2020
A finite sample analysis of the double descent phenomenon for ridge function estimation.
CoRR, 2020
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Proceedings of the Extraction et Gestion des Connaissances, 2020
2019
Introducing and Comparing Recent Clustering Methods for Massive Data Management in the Internet of Things.
J. Sens. Actuator Networks, 2019
Corrigendum to "A note on computing the Smallest Conic Singular Value" [J. Comput. Appl. Math. 340 (2018) 221-230].
J. Comput. Appl. Math., 2019
The Guedon-Vershynin Semi-definite Programming Approach to Low Dimensional Embedding for Unsupervised Clustering.
Frontiers Appl. Math. Stat., 2019
SpCLUST: Towards a fast and reliable clustering for potentially divergent biological sequences.
Comput. Biol. Medicine, 2019
Incoherent Submatrix Selection via Approximate Independence Sets in Scalar Product Graphs.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019
Efficient Online Laplacian Eigenmap Computation for Dimensionality Reduction in Molecular Phylogeny via Optimisation on the Sphere.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
CoRR, 2018
A clustering package for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Model.
Comput. Biol. Medicine, 2018
l1-Penalised Ordinal Polytomous Regression Estimators with Application to Gene Expression Studies.
Proceedings of the 18th International Workshop on Algorithms in Bioinformatics, 2018
Proceedings of the Machine Learning, Optimization, and Data Science, 2018
Online Shortest Paths With Confidence Intervals for Routing in a Time Varying Random Network.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
2017
Signal Image Video Process., 2017
Systematic investigations of gene effects on both topologies and supports: An <i>Echinococcus</i> illustration.
J. Bioinform. Comput. Biol., 2017
CoRR, 2017
Bioinform., 2017
Proceedings of the Machine Learning, Optimization, and Big Data, 2017
Finding optimal finite biological sequences over finite alphabets: The OptiFin toolbox.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017
Validation of Algorithms to Estimate Distribution Network Characteristics Using Power-Hardware-in-the-Loop Configuration.
Proceedings of the IEEE International Workshop on Applied Measurements for Power Systems, 2017
2016
A Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering.
CoRR, 2016
A Bregman-proximal point algorithm for robust non-negative matrix factorization with possible missing values and outliers - application to gene expression analysis.
BMC Bioinform., 2016
Total Variation Minimization for Compressed Sensing with "Smoothly" Varying Covariates.
Proceedings of the 2016 IEEE Intl Conference on Computational Science and Engineering, 2016
2015
Using a sparse promoting method in linear programming approximations to schedule parallel jobs.
Concurr. Comput. Pract. Exp., 2015
A post-prognostics decision approach to optimize the commitment of fuel cell systems in stationary applications.
Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
Investigating gene expression array with outliers and missing data in bladder cancer.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
IEEE Trans. Inf. Theory, 2014
Comput. Stat. Data Anal., 2014
2012
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012
2010
IEEE Signal Process. Lett., 2010
Mixtures of GAMs for habitat suitability analysis with overdispersed presence/absence data.
Comput. Stat. Data Anal., 2010
2009
Signal Process., 2009
2002
Proceedings of the COMPSTAT 2002, 2002
2000
IEEE Trans. Inf. Theory, 2000
1995
Successive projections-like algorithms for signal approximation/zero-error modelling.
Proceedings of the 1995 International Conference on Acoustics, 1995