| Linguistic features to predict query difficulty J Mothe, L Tanguy ACM Conference on research and Development in Information Retrieval, SIGIR …, 2005 | 153 | 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 | 109 | 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 | 96 | 2014 |
| 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 | 64 | 2017 |
| 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 | 64 | 1999 |
| 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 | 57 | 2017 |
| Location extraction from tweets TBN Hoang, J Mothe Information Processing & Management 54 (2), 129-144, 2018 | 56 | 2018 |
| Modeling context through domain ontologies N Hernandez, J Mothe, C Chrisment, D Egret Information Retrieval 10 (2), 143-172, 2007 | 56 | 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 | 54 | 2006 |
| Ontologies as Background Knowledge to Explore Document Collections. N Aussenac-Gilles, J Mothe RIAO 4, 129-142, 2004 | 54 | 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 | 45 | 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 | 44 | 2012 |
| Predicting information diffusion on Twitter–Analysis of predictive features TBN Hoang, J Mothe Journal of computational science 28, 257-264, 2018 | 41 | 2018 |
| 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 | 41 | 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 | 39 | 2000 |
| 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 | 34 | 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 | 32 | 2016 |
| Word sense discrimination in information retrieval: A spectral clustering-based approach AG Chifu, F Hristea, J Mothe, M Popescu Information Processing & Management 51 (2), 16-31, 2015 | 32 | 2015 |
| 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 | 32 | 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 | 30 | 2012 |
Gilles HubertAssociate professor of Computer Science, University of ToulouseVerified email at irit.fr
