| Detection of suicide-related posts in Twitter data streams MJ Vioules, B Moulahi, J Azé, S Bringay IBM Journal of Research and Development 62 (1), 7: 1-7: 12, 2018 | 175 | 2018 |
| Community-wide assessment of protein-interface modeling suggests improvements to design methodology SJ Fleishman, TA Whitehead, EM Strauch, JE Corn, S Qin, HX Zhou, ... Journal of molecular biology 414 (2), 289-302, 2011 | 158 | 2011 |
| Feel: a french expanded emotion lexicon A Abdaoui, J Azé, S Bringay, P Poncelet Language Resources and Evaluation 51 (3), 833-855, 2017 | 131 | 2017 |
| Mining twitter for suicide prevention A Abboute, Y Boudjeriou, G Entringer, J Azé, S Bringay, P Poncelet Natural Language Processing and Information Systems: 19th International …, 2014 | 103 | 2014 |
| Mining social networks to improve suicide prevention: A scoping review J Lopez‐Castroman, B Moulahi, J Azé, S Bringay, J Deninotti, ... Journal of neuroscience research 98 (4), 616-625, 2020 | 91 | 2020 |
| A new protein–protein docking scoring function based on interface residue properties J Bernauer, J Azé, J Janin, A Poupon Bioinformatics 23 (5), 555-562, 2007 | 80 | 2007 |
| Raising awareness about cervical cancer using Twitter: content analysis of the 2015# SmearForSmear campaign P Lenoir, B Moulahi, J Azé, S Bringay, G Mercier, F Carbonnel Journal of medical Internet research 19 (10), e344, 2017 | 61 | 2017 |
| Unraveling the molecular architecture of a G protein-coupled receptor/β-arrestin/Erk module complex T Bourquard, F Landomiel, E Reiter, P Crépieux, DW Ritchie, J Azé, ... Scientific reports 5 (1), 10760, 2015 | 56 | 2015 |
| Evaluation de la résistance au bruit de quelques mesures d'extraction de rčgles d'association. J Azé, Y Kodratoff EGC 1 (4), 143-154, 2002 | 51 | 2002 |
| Patient healthcare trajectory. An essential monitoring tool: a systematic review J Pinaire, J Azé, S Bringay, P Landais Health information science and systems 5, 1-18, 2017 | 50 | 2017 |
| ROC-based evolutionary learning: Application to medical data mining M Sebag, J Azé, N Lucas International Conference on Artificial Evolution (Evolution Artificielle …, 2003 | 44 | 2003 |
| Attention-based modeling for emotion detection and classification in textual conversations W Ragheb, J Azé, S Bringay, M Servajean arXiv preprint arXiv:1906.07020, 2019 | 41 | 2019 |
| Genomics and Machine Learning for Taxonomy Consensus: The Mycobacterium tuberculosis Complex Paradigm J Azé, C Sola, J Zhang, F Lafosse-Marin, M Yasmin, R Siddiqui, K Kremer, ... PloS one 10 (7), e0130912, 2015 | 36 | 2015 |
| Protein-RNA complexes and efficient automatic docking: expanding RosettaDock possibilities A Guilhot-Gaudeffroy, C Froidevaux, J Azé, J Bernauer PloS one 9 (9), e108928, 2014 | 35 | 2014 |
| A collaborative filtering approach for protein-protein docking scoring functions T Bourquard, J Bernauer, J Azé, A Poupon PloS one 6 (4), e18541, 2011 | 35 | 2011 |
| A study of the effect of noisy data in rule extraction systems J Azé, Y Kodratoff na, 2002 | 35 | 2002 |
| A digital companion, the emma app, for ecological momentary assessment and prevention of suicide: quantitative case series study M Morgičve, C Genty, J Azé, J Dubois, M Leboyer, G Vaiva, S Berrouiguet, ... JMIR mHealth and uHealth 8 (10), e15741, 2020 | 34 | 2020 |
| Hospital burden of coronary artery disease: trends of myocardial infarction and/or percutaneous coronary interventions in France 2009–2014 J Pinaire, J Azé, S Bringay, G Cayla, P Landais PLoS One 14 (5), e0215649, 2019 | 34 | 2019 |
| Learning Interestingness Measures in Terminology Extraction. A ROC-based approach. M Roche, J Azé, Y Kodratoff, M Sebag ROCAI, 81-88, 2004 | 29 | 2004 |
| Extraction de connaissances ŕ partir de données numériques et textuelles J Azé Université Paris Sud-Paris XI, 2003 | 28 | 2003 |
Sandra BringayPR UPVM3 LIRMM-UM-CNRSVerified email at lirmm.fr
