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2020 – today
- 2024
[j14]Laëtitia Viau
, Jérôme Azé, Fati Chen, Pierre Pompidor, Pascal Poncelet, Vincent Raveneau, Nancy Rodriguez, Arnaud Sallaberry:
Epid data explorer: A visualization tool for exploring and comparing spatio-temporal epidemiological data. Health Informatics J. 30(3) (2024)- [j13]Samy Benslimane, Thomas Papastergiou, Jérôme Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi:
A SHAP-based controversy analysis through communities on Twitter. World Wide Web (WWW) 27(5): 65 (2024) - 2023
- [j12]Thomas Papastergiou, Jérôme Azé, Sandra Bringay, Maxime Louet, Pascal Poncelet, Miyanou Rosales-Hurtado, Yen Vo-Hoang, Patricia Licznar-Fajardo, Jean-Denis Docquier, Laurent Gavara:
Discovering NDM-1 inhibitors using molecular substructure embeddings representations. J. Integr. Bioinform. 20(2) (2023) - [j11]Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Negatively Correlated Noisy Learners for At-Risk User Detection on Social Networks: A Study on Depression, Anorexia, Self-Harm, and Suicide. IEEE Trans. Knowl. Data Eng. 35(1): 770-783 (2023) - [j10]Alexis Delaforge, Jérôme Azé, Sandra Bringay, Caroline Mollevi, Arnaud Sallaberry, Maximilien Servajean:
EBBE-Text: Explaining Neural Networks by Exploring Text Classification Decision Boundaries. IEEE Trans. Vis. Comput. Graph. 29(10): 4154-4171 (2023) - [j9]Samy Benslimane, Jérôme Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi:
A text and GNN based controversy detection method on social media. World Wide Web (WWW) 26(2): 799-825 (2023) - [c59]Samy Benslimane, Jérôme Azé, Sandra Bringay, Caroline Mollevi, Maximilien Servajean:
Détection de la controverse : une approche basée sur les réseaux de neurones, appliquée aux graphes et aux textes. CNIA 2023: 50-51 - [c58]Alexis Delaforge, Jérôme Azé, Sandra Bringay, Arnaud Sallaberry, Maximilien Servajean:
Panorama des outils de visualisation pour l'explicabilité en apprentissage profond pour le traitement automatique de la langue. CNIA 2023: 99-108 - [c57]Hugo Le Baher, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Nancy Rodriguez, Caroline Dunoyer:
Modélisation de parcours patients : graphes temporels pour la supervision médicale. EGC 2023: 321-328 - [c56]Leonardo Moros, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Maximilien Servajean, Caroline Dunoyer:
Apprendre à classer des textes hospitaliers rédigés en anglais selon la classification CIM-9 avec une approche par budget. EGC 2023: 337-344 - [c55]Leonardo Moros, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Maximilien Servajean, Caroline Dunoyer:
ICDiscovery : Aide à l'annotation par une méthode de budget pour le codage CIM-9 des textes hospitaliers. EGC 2023: 605-612 - [c54]Samy Benslimane, Thomas Papastergiou, Jérôme Azé, Sandra Bringay, Caroline Mollevi, Maximilien Servajean:
Explaining controversy through community analysis on Twitter. IDEAS 2023: 148-155 - [c53]Hugo Le Baher, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Nancy Rodriguez, Caroline Dunoyer:
Patient Electronic Health Record as Temporal Graphs for Health Monitoring. MIE 2023: 561-565 - [c52]Leonardo Moros, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Maximilien Servajean, Caroline Dunoyer:
Learning to Classify Medical Discharge Summaries According to ICD-9. MIE 2023: 773-777 - 2022
- [c51]Thomas Papastergiou, Jérôme Azé, Sandra Bringay, Maxime Louet, Pascal Poncelet, Laurent Gavara:
Multiple Instance Learning Based on Mol2vec Molecular Substructure Embeddings for Discovery of NDM-1 Inhibitors. PACBB 2022: 55-66 - 2021
- [c50]Alexis Delaforge, Jérôme Azé, Arnaud Sallaberry, Maximilien Servajean, Sandra Bringay, Caroline Mollevi:
EBBE-Text : Visualisation de la frontière de décision des réseaux de neurones en classification automatique de textes. EGC 2021: 169-180 - [c49]Alexis Delaforge, Jérôme Azé, Arnaud Sallaberry, Maximilien Servajean, Sandra Bringay, Caroline Mollevi:
Expliquer les prédictions des réseaux de neurones par l'exploration de l'espace de représentation et de la frontière de décision à l'aide d'EBBE-Text. EGC 2021: 485-492 - [c48]Jessica Pinaire, Etienne Chabert, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Paul Landais:
Prediction of In-Hospital Mortality from Administrative Data: A Sequential Pattern Mining Approach. MIE 2021: 293-297 - [c47]Samy Benslimane, Jérôme Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi:
Controversy Detection: A Text and Graph Neural Network Based Approach. WISE (1) 2021: 339-354 - [e2]Jérôme Azé, Vincent Lemaire:
Extraction et Gestion des Connaissances, EGC 2021, 25-29 Janvier 2021, Montpellier, France. RNTI E-37, Éditions RNTI 2021, ISBN 979-10-96289-14-1 [contents] - [i3]Samy Benslimane, Jérôme Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi:
Controversy Detection: a Text and Graph Neural Network Based Approach. CoRR abs/2112.11445 (2021) - 2020
- [c46]Yves Mercadier, Jérôme Azé, Sandra Bringay:
Divide to Better Classify. AIME 2020: 89-99 - [c45]Yves Mercadier, Jérôme Azé, Sandra Bringay:
Apprentissage actif profond pour le classement de textes en plusieurs classes. EGC 2020: 49-60
2010 – 2019
- 2019
- [j8]Amine Abdaoui, Jérôme Azé, Sandra Bringay, Natalia Grabar, Pascal Poncelet:
Expertise in French health forums. Health Informatics J. 25(1) (2019) - [j7]Mike Donald Tapi-Nzali, Jérôme Azé, Sandra Bringay, Christian Lavergne, Caroline Mollevi, Thomas Optiz:
Reconciliation of patient/doctor vocabulary in a structured resource. Health Informatics J. 25(4) (2019) - [c44]Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Language Modeling in Temporal Mood Variation Models for Early Risk Detection on the Internet. CLEF 2019: 248-259 - [c43]Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Attentive Multi-stage Learning for Early Risk Detection of Signs of Anorexia and Self-harm on Social Media. CLEF (Working Notes) 2019 - [c42]Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Pourquoi dois-je croire ta prédiction ? Comment expliquer les résultats d'une classification automatique de sentiments à partir de textes. IC 2019: 112-124 - [c41]Ashwin Karthik Ambalavan, Bilel Moulahi, Jérôme Azé, Sandra Bringay:
Unveiling Online Suicide Behavior: What Can We Learn About Mental Health from Suicide Survivors of Reddit? MedInfo 2019: 50-54 - [c40]Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification. SemEval@NAACL-HLT 2019: 251-255 - [i2]Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Attention-based Modeling for Emotion Detection and Classification in Textual Conversations. CoRR abs/1906.07020 (2019) - 2018
- [j6]Mia Johnson Vioulès, Bilel Moulahi, Jérôme Azé, Sandra Bringay:
Detection of suicide-related posts in Twitter data streams. IBM J. Res. Dev. 62(1): 7:1-7:12 (2018) - [c39]Waleed Ragheb, Bilel Moulahi, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Temporal Mood Variation: at the CLEF eRisk-2018 Tasks for Early Risk Detection on The Internet. CLEF (Working Notes) 2018 - [c38]Yves Mercadier, Jérôme Azé, Sandra Bringay, Viviane Clavier, Erick Cuenca, Céline Paganelli, Pascal Poncelet, Arnaud Sallaberry:
#AIDS Analyse Information Dangers Sexualité : caractériser les discours à propos du VIH dans les forums de santé. IC 2018: 71-86 - [c37]Jessica Pinaire, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Christophe Genolini, Paul Landais:
PaFloChar: An Innovating Approach to Characterise Patient Flows in Myocardial Infarction. MIE 2018: 391-395 - 2017
- [j5]Jessica Pinaire, Jérôme Azé, Sandra Bringay, Paul Landais:
Patient healthcare trajectory. An essential monitoring tool: a systematic review. Health Inf. Sci. Syst. 5(1): 1 (2017) - [j4]Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet:
FEEL: a French Expanded Emotion Lexicon. Lang. Resour. Evaluation 51(3): 833-855 (2017) - [c36]Jessica Pinaire, Jérôme Azé, Sandra Bringay, Paul Landais:
Infarctus du myocarde : quelles sont les trajectoires de soins pronostiques du décès à l'hôpital? IC 2017: 14-25 - [c35]Bilel Moulahi, Jérôme Azé, Sandra Bringay:
Suivi et détection des idéations suicidaires dans les médias sociaux. IC 2017: 26-37 - [c34]Bilel Moulahi, Jérôme Azé, Sandra Bringay:
DARE to Care: A Context-Aware Framework to Track Suicidal Ideation on Social Media. WISE (2) 2017: 346-353 - 2016
- [j3]Mike Donald Tapi-Nzali, Jérôme Azé, Sandra Bringay, Christian Lavergne, Caroline Mollevi, Thomas Opitz:
Formalisation semi-automatique d'un vocabulaire patient/médecin dédié au cancer du sein. Rev. d'Intelligence Artif. 30(5): 533-556 (2016) - [c33]Oky Purwantiningsih, Arnaud Sallaberry, Sebastien Andary, Antoine Seilles, Jérôme Azé:
Visual analysis of body movement in serious games for healthcare. PacificVis 2016: 229-233 - [c32]Cédric Maigrot, Sandra Bringay, Jérôme Azé:
Concept drift vs suicide: comment l'un peut prévenir l'autre? EGC 2016: 219-230 - [c31]Yves Mercadier, Jessica Pinaire, Jérôme Azé, Sandra Bringay, Maguelonne Teisseire:
Manipulation interactive d'ensemble de motifs : application aux parcours hospitaliers. EGC 2016: 457-462 - [c30]Yves Mercadier, Jessica Pinaire, Jérôme Azé, Sandra Bringay, Maguelonne Teisseire:
La r-confiance pour l'identification de trajectoires de patients. EGC 2016: 535-536 - [c29]Jessica Pinaire, Jérôme Azé, Sandra Bringay, Paul Landais:
Extraire semi-automatiquement des connaissances dans la littérature biomédicale. IC 2016: 123-134 - 2015
- [j2]Hugo Alatrista-Salas, Jérôme Azé, Sandra Bringay, Flavie Cernesson, Nazha Selmaoui-Folcher, Maguelonne Teisseire:
A knowledge discovery process for spatiotemporal data: Application to river water quality monitoring. Ecol. Informatics 26(2): 127-139 (2015) - [c28]Jessica Pinaire, Soumaya Ben Alouane, Jérôme Azé, Sandra Bringay, Paul Landais, Arnaud Sallaberry:
Visualisation interactive de trajectoires de patients. IC 2015 - [c27]Mike Donald Tapi-Nzali, Sandra Bringay, Christian Lavergne, Thomas Opitz, Jérôme Azé, Caroline Mollevi:
Construction d'un vocabulaire patient/médecin dédié au cancer du sein à partir des médias sociaux. IC 2015 - [c26]Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet:
E-Patient Reputation in Health Forums. MedInfo 2015: 137-141 - [c25]Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet:
Assisting e-patients in an Ask the Doctor Service. MIE 2015: 572-576 - [c24]Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet:
Collaborative Content-Based Method for Estimating User Reputation in Online Forums. WISE (2) 2015: 292-299 - 2014
- [c23]Soumia Melzi, Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Florence Galtier:
Que ressentent les patients ? EGC 2014: 449-454 - [c22]Adrien Guilhot-Gaudeffroy, Jérôme Azé, Julie Bernauer, Christine Froidevaux:
Apprentissage de fonctions de tri pour la prédiction d'interactions protéine-ARN. EGC 2014: 479-484 - [c21]Thomas Opitz, Jérôme Azé, Sandra Bringay, Cyrille Joutard, Christian Lavergne, Caroline Mollevi:
Breast Cancer and Quality of Life: Medical Information Extraction from Health Forums. MIE 2014: 1070-1074 - [c20]Amine Abdaoui, Jérôme Azé, Sandra Bringay, Natalia Grabar, Pascal Poncelet:
Analysis of Forum Posts Written by Patients and Health Professionals. MIE 2014: 1185 - [c19]Amayas Abboute, Yasser Boudjeriou, Gilles Entringer, Jérôme Azé, Sandra Bringay, Pascal Poncelet:
Mining Twitter for Suicide Prevention. NLDB 2014: 250-253 - [c18]Amine Abdaoui, Jérôme Azé, Sandra Bringay, Natalia Grabar, Pascal Poncelet:
Predicting Medical Roles in Online Health Fora. SLSP 2014: 247-258 - 2013
- [c17]Thomas Bourquard, Damien M. de Vienne, Jérôme Azé:
Identification de complexes protéine-protéine par combinaison de classifieurs. Application à Escherichia Coli. EGC 2013: 419-430 - 2012
- [b2]Jérôme Azé:
Prédiction d'Interactions et Amarrage Protéine-Protéine par combinaison de classifieurs. (Protein-Protein prediction and protein-protein docking by ensemble learning). University of Paris-Sud, Orsay, France, 2012 - [p3]Hugo Alatrista Salas, Jérôme Azé, Sandra Bringay, Flavie Cernesson, Frédéric Flouvat, Nazha Selmaoui-Folcher, Maguelonne Teisseire:
Recherche de séquences spatio-temporelles peu contredites dans des données hydrologiques. Mesurer et évaluer la Qualité des Données et des Connaissances 2012: 165-188 - [e1]Laure Berti-Équille, Jérôme Azé, Mathieu Roche, Fatiha Saïs, Sylvie Guillaume, Nicolas Béchet:
Mesurer et évaluer la Qualité des Données et des Connaissances. RNTI E-22, Hermann-Éditions 2012, ISBN 978-2-70568-286-6 [contents] - 2011
- [c16]Jérôme Azé, Thomas Bourquard, Sylvie Hamel, Anne Poupon, David W. Ritchie:
Using Kendall-τ Meta-Bagging to Improve Protein-Protein Docking Predictions. PRIB 2011: 284-295
2000 – 2009
- 2009
- [c15]Thomas Bourquard, Julie Bernauer, Jérôme Azé, Anne Poupon:
Comparing Voronoi and Laguerre Tessellations in the Protein-Protein Docking Context. ISVD 2009: 225-232 - [p2]Yves Kodratoff, Jérôme Azé, Lise Fontaine:
CorTag. Information Retrieval in Biomedicine 2009: 177-189 - 2008
- [c14]Lucie Gentils, Jérôme Azé, Claire Toffano-Nioche, Valentin Loux, Anne Poupon, Jean-François Gibrat, Christine Froidevaux:
Mesures Hiérarchiques pondérées pour l'évaluation d'un système semi-automatique d'annotation de génomes utilisant des arbres de décision. EGC 2008: 133-138 - 2007
- [j1]Julie Bernauer, Jérôme Azé, Joël Janin, Anne Poupon:
A new protein-protein docking scoring function based on interface residue properties. Bioinform. 23(5): 555-562 (2007) - [c13]Jérôme Azé, Philippe Lenca, Stéphane Lallich, Benoît Vaillant:
A Study of the Robustness of Association Rules. DMIN 2007: 163-169 - [p1]Israël-César Lerman, Jérôme Azé:
A New Probabilistic Measure of Interestingness for Association Rules, Based on the Likelihood of the Link. Quality Measures in Data Mining 2007: 207-236 - 2005
- [c12]Ahmed Amrani, Jérôme Azé, Yves Kodratoff:
Logiciel d'aide à l'étiquetage morpho-syntaxique de textes de spécialité. EGC 2005: 673-678 - [i1]Jérôme Azé, Mathieu Roche, Yves Kodratoff, Michèle Sebag:
Preference Learning in Terminology Extraction: A ROC-based approach. CoRR abs/cs/0512050 (2005) - 2004
- [c11]Mathieu Roche, Jérôme Azé, Oriane Matte-Tailliez, Yves Kodratoff:
Mining texts by association rules discovery in a technical corpus. Intelligent Information Systems 2004: 89-98 - [c10]Jérôme Azé, Mathieu Roche, Yves Kodratoff, Michèle Sebag:
Learning to Order Terms: Supervised Interestingness Measures in Terminology Extraction. International Conference on Computational Intelligence 2004: 478-481 - [c9]Mathieu Roche, Jérôme Azé, Yves Kodratoff, Michèle Sebag:
Learning Interestingness Measures in Terminology Extraction. A ROC-based approach. ROCAI 2004: 81-88 - [c8]Ahmed Amrani, Jérôme Azé, Thomas Heitz, Yves Kodratoff, Mathieu Roche:
From the Texts to the Contexts They Contain: A Chain of Linguistic Treatments. TREC 2004 - 2003
- [b1]Jérôme Azé:
Extraction de Connaissances à partir de Données Numériques et Textuelles. (Knowledge extraction from numerical and textual data). University of Paris-Sud, Orsay, France, 2003 - [c7]Michèle Sebag, Jérôme Azé, Noël Lucas:
ROC-Based Evolutionary Learning: Application to Medical Data Mining. Artificial Evolution 2003: 384-396 - [c6]Jérôme Azé:
Une nouvelle mesure de qualité pour l'extraction de pépites de connaissances. EGC 2003: 171-182 - [c5]Jérôme Azé, Noël Lucas, Michèle Sebag:
Fouille de données visuelle et analyse de facteurs de risque médical. EGC 2003: 183-188 - [c4]Israël-César Lerman, Jérôme Azé:
Une mesure probabiliste contextuelle discriminante de qualité des règles d'association. EGC 2003: 247-262 - [c3]Jérôme Azé, Mathieu Roche:
Une application de la fouille de textes : l'extraction des règles d'association à partir d'un corpus spécialisé. EGC 2003: 283-294 - [c2]Michèle Sebag, Jérôme Azé, Noël Lucas:
Impact Studies and Sensitivity Analysis in Medical Data Mining with ROC-based Genetic Learning. ICDM 2003: 637-640 - 2002
- [c1]Jérôme Azé, Yves Kodratoff:
Evaluation de la résistance au bruit de quelques mesures d'extraction de règles d'association. EGC 2002: 143-154
Coauthor Index
[j13] [j12] [j11] [j10] [j9] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [i3] [c46] [c45] [j8] [j7] [c44] [c43] [c42] [c41] [c40] [i2] [j6] [c39] [c38] [c37] [j5] [j4] [c36] [c35] [c34] [j3] [c32] [c31] [c30] [c29] [j2] [c28] [c27] [c26] [c25] [c24] [c23] [c21] [c20] [c19] [c18] [p3]
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