Sébastien Déjean

Orcid: 0000-0001-9610-5306

Affiliations:
  • University of Toulouse, France


According to our database1, Sébastien Déjean authored at least 27 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Supervised Multiple Kernel Learning approaches for multi-omics data integration.
CoRR, 2024

Can We Predict QPP? An Approach Based on Multivariate Outliers.
Proceedings of the Advances in Information Retrieval, 2024

Prédictibilité de la prédiction de la performance des requêtes ? Une approche basée sur les valeurs aberrantes multivariées.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2024

2023
Asterics: a simple tool for the ExploRation and Integration of omiCS data.
BMC Bioinform., December, 2023

Improvement of variables interpretability in kernel PCA.
BMC Bioinform., December, 2023

2021
A powerful framework for an integrative study with heterogeneous omics data: from univariate statistics to multi-block analysis.
Briefings Bioinform., 2021

2020
Forward and backward feature selection for query performance prediction.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019
Studying the Variability of System Setting Effectiveness by Data Analytics and Visualization.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

2017
Human-Based Query Difficulty Prediction.
Proceedings of the Advances in Information Retrieval, 2017

2016
Tweet Data mining : the Cultural Microblog Contextualization Data Set.
Proceedings of the Working Notes of CLEF 2016, 2016

2015
Learning to Choose the Best System Configuration in Information Retrieval: the Case of Repeated Queries.
J. Univers. Comput. Sci., 2015

Statistical Analysis to Establish the Importance of Information Retrieval Parameters.
J. Univers. Comput. Sci., 2015

Sélection de variables en apprentissage d'ordonnancement. Évaluation des SVM pondérés.
Document Numérique, 2015

Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM.
CoRR, 2015

2014
Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM.
IEEE Trans. Neural Networks Learn. Syst., 2014

Choisir la meilleure configuration d'un système de recherche d'information. Adaptation à la difficulté du besoin.
Document Numérique, 2014

Séparateurs à Vaste Marge pondérés en norme L2 pour la sélection de variables en apprentissage d'ordonnancement.
Proceedings of the CORIA 2014, 2014

2013
Multiple Clicks Model for Web Search of Multi-clickable Documents.
Proceedings of the ICEIS 2013, 2013

2012
Adaptive sequential design for regression on multi-resolution bases.
Stat. Comput., 2012

How many performance measures to evaluate information retrieval systems?
Knowl. Inf. Syst., 2012

Visualising associations between paired 'omics' data sets.
BioData Min., 2012

Évaluation de la pertinence dans les moteurs de recherche géoréférencés .
Proceedings of the Actes du XXXème Congrès INFORSID, Montpellier, France, 29 - 31 mai 2012, 2012

2010
Analyse des critères d'évaluation des systèmes de recherche d'information.
Tech. Sci. Informatiques, 2010

2009
integrOmics: an R package to unravel relationships between two omics datasets.
Bioinform., 2009

2007
Clustering Time-Series Gene Expression Data Using Smoothing Spline Derivatives.
EURASIP J. Bioinform. Syst. Biol., 2007

Query clustering to decide the best system to use.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications) - RIAO 2007, 8th International Conference, Carnegie Mellon University, Pittsburgh, PA, USA, May 30, 2007

Prédiction du SRI à utiliser en fonction des critères linguistiques de la requête.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2007


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