Linguistic features to predict query difficulty J Mothe, L Tanguy ACM Conference on research and Development in Information Retrieval, SIGIR …, 2005 | 185 | 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 | 115 | 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 | 110 | 2014 |
Mercure at TREC7. M Boughanem, T Dkaki, J Mothe, C Soule-Dupuy TREC 1998, 355-360, 1998 | 103 | 1998 |
Location extraction from tweets TBN Hoang, J Mothe Information Processing & Management 54 (2), 129-144, 2018 | 87 | 2018 |
Predicting information diffusion on Twitter–Analysis of predictive features TBN Hoang, J Mothe Journal of computational science 28, 257-264, 2018 | 77 | 2018 |
Overview of ImageCLEFcaption 2017: image caption prediction and concept detection for biomedical images C Eickhoff, I Schwall, A García Seco de Herrera, H Müller Proceedings of the CLEF 2017 working notes, 2017 | 73 | 2017 |
A survey on evaluation of summarization methods L Ermakova, JV Cossu, J Mothe Information processing & management 56 (5), 1794-1814, 2019 | 71 | 2019 |
Overview of ImageCLEF 2017: Information extraction from images B Ionescu, H Müller, M Villegas, H Arenas, G Boato, DT Dang-Nguyen, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th …, 2017 | 70 | 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 | 70 | 1999 |
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 | 63 | 2018 |
Modeling context through domain ontologies N Hernandez, J Mothe, C Chrisment, D Egret Information Retrieval 10 (2), 143-172, 2007 | 60 | 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 | 60 | 2006 |
How many performance measures to evaluate information retrieval systems? A Baccini, S Déjean, L Lafage, J Mothe Knowledge and Information Systems 30, 693-713, 2012 | 53 | 2012 |
Ontologies as Background Knowledge to Explore Document Collections. N Aussenac-Gilles, J Mothe RIAO 4, 129-142, 2004 | 53 | 2004 |
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 | 48 | 2012 |
Automatic keyphrase extraction using graph-based methods J Mothe, F Ramiandrisoa, M Rasolomanana Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 728-730, 2018 | 40 | 2018 |
Connectionist and genetic approaches for information retrieval M Boughanem, C Chrisment, J Mothe, C Soule-Dupuy, L Tamine Soft Computing in Information Retrieval: Techniques and Applications, 173-198, 2000 | 39 | 2000 |
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 | 38 | 2015 |
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, 617-648, 2011 | 38 | 2011 |