• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 126 matches

• 2024
• 
  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)
• 
  Sandra Bringay, Pascal Poncelet, Namrata Patel, Guilhem Mayoral:
  Classifier Chains for LOINC Transcoding. MIE 2024: 1314-1318
• 
  Salim Hafid, Wassim Ammar, Sandra Bringay, Konstantin Todorov:
  Cite-worthiness Detection on Social Media: A Preliminary Study. NSLP 2024: 19-30
• 2023
• 
  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)
• 
  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)
• 
  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)
• 
  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)
• 
  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
• 
  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
• 
  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
• 
  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
• 
  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
• 
  Samy Benslimane, Thomas Papastergiou, Jérôme Azé, Sandra Bringay, Caroline Mollevi, Maximilien Servajean:
  Explaining controversy through community analysis on Twitter. IDEAS 2023: 148-155
• 
  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
• 
  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
• 
  Salim Hafid, Sebastian Schellhammer, Sandra Bringay, Konstantin Todorov, Stefan Dietze:
  SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse. CIKM 2022: 3988-3992
• 
  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
• 
  Salim Hafid, Sebastian Schellhammer, Sandra Bringay, Konstantin Todorov, Stefan Dietze:
  SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse. CoRR abs/2206.07360 (2022)
• 2021
• 
  Mehdi Mirzapour, Amine Abdaoui, Andon Tchechmedjiev, William Digan, Sandra Bringay, Clément Jonquet:
  French FastContext: A publicly accessible system for detecting negation, temporality and experiencer in French clinical notes. J. Biomed. Informatics 117: 103733 (2021)
• 
  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
• 
  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
• 
  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
• 
  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
• 
  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
• 
  Yves Mercadier, Jérôme Azé, Sandra Bringay:
  Divide to Better Classify. AIME 2020: 89-99
• 
  Yves Mercadier, Jérôme Azé, Sandra Bringay:
  Apprentissage actif profond pour le classement de textes en plusieurs classes. EGC 2020: 49-60
• 2019
• 
  Amine Abdaoui, Jérôme Azé, Sandra Bringay, Natalia Grabar, Pascal Poncelet:
  Expertise in French health forums. Health Informatics J. 25(1) (2019)
• 
  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)
• 
  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
• 
  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

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