Jérôme Azé
Jérôme Azé
Professor of Computer Science, LIRMM, Montpellier
Verified email at - Homepage
Cited by
Cited by
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
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
Feel: a french expanded emotion lexicon
A Abdaoui, J Azé, S Bringay, P Poncelet
Language Resources and Evaluation 51 (3), 833-855, 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
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
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
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
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
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
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
ROC-based evolutionary learning: Application to medical data mining
M Sebag, J Azé, N Lucas
International Conference on Artificial Evolution (Evolution Artificielle …, 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
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
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
A collaborative filtering approach for protein-protein docking scoring functions
T Bourquard, J Bernauer, J Azé, A Poupon
PloS one 6 (4), e18541, 2011
A study of the effect of noisy data in rule extraction systems
J Azé, Y Kodratoff
na, 2002
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
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
Learning Interestingness Measures in Terminology Extraction. A ROC-based approach.
M Roche, J Azé, Y Kodratoff, M Sebag
ROCAI, 81-88, 2004
Extraction de connaissances ŕ partir de données numériques et textuelles
J Azé
Université Paris Sud-Paris XI, 2003
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