Josiane Mothe
Josiane Mothe
Université de Toulouse, Institut de Recherche en Informatique de Toulouse
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Linguistic features to predict query difficulty
J Mothe, L Tanguy
ACM Conference on research and Development in Information Retrieval, SIGIR …, 2005
DocCube: Multi‐dimensional visualisation and exploration of large document sets
J Mothe, C Chrisment, B Dousset, J Alaux
Journal of the American Society for Information Science and Technology 54 (7 …, 2003
Nonconvex regularizations for feature selection in ranking with sparse svm
L Laporte, R Flamary, S Canu, S Déjean, J Mothe
IEEE Transactions on Neural Networks and Learning Systems 25 (6), 1118-1130, 2014
TetraFusion: information discovery on the Internet
F Crimmins, AF Smeaton, T Dkaki, J Mothe
IEEE Intelligent Systems and their applications 14 (4), 55-62, 1999
Overview of ImageCLEF 2017: Information extraction from images
B Ionescu, H Müller, M Villegas, H Arenas, G Boato, DT Dang-Nguyen, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2017
Overview of ImageCLEFcaption 2017–image caption prediction and concept detection for biomedical images
C Eickhoff, I Schwall, A Garcia Seco De Herrera, H Müller
CEUR Workshop Proceedings, 2017
Modeling context through domain ontologies
N Hernandez, J Mothe, C Chrisment, D Egret
Information Retrieval 10 (2), 143-172, 2007
Combining mining and visualization tools to discover the geographic structure of a domain
J Mothe, C Chrisment, T Dkaki, B Dousset, S Karouach
Computers, environment and urban systems 30 (4), 460-484, 2006
Location extraction from tweets
TBN Hoang, J Mothe
Information Processing & Management 54 (2), 129-144, 2018
Ontologies as Background Knowledge to Explore Document Collections.
N Aussenac-Gilles, J Mothe
RIAO 4, 129-142, 2004
How many performance measures to evaluate information retrieval systems?
A Baccini, S Déjean, L Lafage, J Mothe
Knowledge and Information Systems 30 (3), 693-713, 2012
Overview of the inex 2012 tweet contextualization track
E SanJuan, V Moriceau, X Tannier, P Bellot, J Mothe
Initiative for XML retrieval INEX, 148, 2012
An information nutritional label for online documents
N Fuhr, A Giachanou, G Grefenstette, I Gurevych, A Hanselowski, ...
ACM SIGIR Forum 51 (3), 46-66, 2018
Connectionist and genetic approaches for information retrieval
M Boughanem, C Chrisment, J Mothe, C Soule-Dupuy, L Tamine
Soft Computing in Information Retrieval, 173-198, 2000
Predicting information diffusion on Twitter–Analysis of predictive features
TBN Hoang, J Mothe
Journal of computational science 28, 257-264, 2018
Fusing different information retrieval systems according to query-topics: a study based on correlation in information retrieval systems and TREC topics
A Bigot, C Chrisment, T Dkaki, G Hubert, J Mothe
Information Retrieval 14 (6), 617, 2011
INEX Tweet Contextualization task: Evaluation, results and lesson learned
P Bellot, V Moriceau, J Mothe, E SanJuan, X Tannier
Information Processing & Management 52 (5), 801-819, 2016
A model to represent the facets of learning object
N Hernandez, J Mothe, B Ralalason, B Ramamonjisoa, P Stolf
Interdisciplinary Journal of E-Learning and Learning Objects 4 (1), 65-82, 2008
Irit: Textual similarity combining conceptual similarity with an n-gram comparison method
D Buscaldi, R Tournier, N Aussenac-Gilles, J Mothe
* SEM 2012: The First Joint Conference on Lexical and Computational …, 2012
Information mining: use of the document dimensions to analyse interactively a document set
J Mothe, C Chrisment, T Dkaki, B Dousset, D Egret
23rd BCS European Colloquium on IR Research: ECIR, Darmstadt. BCS IRSG, 66-77, 2001
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