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Journal Articles
- 2023
[j8]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)- [j7]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) - 2022
- [j6]Emilie Charton, A. Falcoz, E. François, Célia Touraine, J.-B. Bachet, C. Louvet, Z. Hamidou, Caroline Bascoul-Mollevi, Amélie Anota:
%TTD and %TUDD: New SAS macro programs to calculate the survival data of the time to deterioration for patient-reported outcomes data in oncology. Comput. Methods Programs Biomed. 214: 106537 (2022) - 2020
- [j5]Derek Dinart, Julien Fraisse, Diego Tosi, Audrey Mauguen, Célia Touraine, Sophie Gourgou, Marie Cécile Le Deley, Carine Bellera, Caroline Mollevi:
GUIP1: a R package for dose escalation strategies in phase I cancer clinical trials. BMC Medical Informatics Decis. Mak. 20(1): 134 (2020) - 2019
- [j4]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) - 2018
- [j3]Caroline Bascoul-Mollevi, Marion Savina, Amélie Anota, Antoine Barbieri, David Azria, Franck Bonnetain, Sophie Gourgou:
Longitudinal health-related quality of life analysis in oncology with time to event approaches, the STATA command qlqc30_TTD. Comput. Methods Programs Biomed. 158: 153-159 (2018) - 2016
- [j2]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) - 2011
- [j1]Caroline Bascoul-Mollevi, Agnès Laplanche, Marie Cécile Le Deley, Andrew Kramar:
SAE: An R package for early stopping rules in clinical trials. Comput. Methods Programs Biomed. 104(2): 243-248 (2011)
Conference and Workshop Papers
- 2023
- [c8]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 - [c7]Samy Benslimane, Thomas Papastergiou, Jérôme Azé, Sandra Bringay, Caroline Mollevi, Maximilien Servajean:
Explaining controversy through community analysis on Twitter. IDEAS 2023: 148-155 - 2021
- [c6]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 - [c5]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 - [c4]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 - 2015
- [c3]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 - [c2]Mike Donald Tapi-Nzali, Sandra Bringay, Pierre Pompidor, Joël Maïzi, Christian Lavergne, Caroline Mollevi:
Explain Sentiments using Conditional Random Field and a Huge Lexical Network. SIMBig 2015: 89-93 - 2014
- [c1]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
Informal and Other Publications
- 2021
- [i1]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)
Coauthor Index
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