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- Christine Largeron
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Publication search results
found 124 matches
- 2024
- Eric Austin, Shraddha Makwana, Amine Trabelsi, Christine Largeron, Osmar R. Zaïane:
Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network. Data Sci. Eng. 9(1): 41-61 (2024) - Cédric Boscher, Christine Largeron, Véronique Eglin, Elöd Egyed-Zsigmond:
SENSE-LM : A Synergy between a Language Model and Sensorimotor Representations for Auditory and Olfactory Information Extraction. EACL (Findings) 2024: 1695-1711 - Maia Sutter, Antoine Gourru, Amine Trabelsi, Christine Largeron:
Unsupervised stance detection for social media discussions: A generic baseline. EACL (1) 2024: 1782-1792 - Antoine Gourru, Charlotte Laclau, Manvi Choudhary, Christine Largeron:
Variational Perspective on Fair Edge Prediction. IDA (1) 2024: 93-104 - 2023
- Mohammadmahdi Zafarmand, Yashar Talebirad, Eric Austin, Christine Largeron, Osmar R. Zaïane:
Fast local community discovery relying on the strength of links. Soc. Netw. Anal. Min. 13(1): 112 (2023) - Yashar Talebirad, Mohammadmahdi Zafarmand, Osmar R. Zaïane, Christine Largeron:
USIWO: A Local Community Search Algorithm for Uncertain Graphs. ASONAM 2023: 187-194 - Bissan Audeh, Maia Sutter, Christine Largeron:
Etude comparative de modèles d'extraction non supervisée de mots-clés pour la recommandation d'emploi. EGC 2023: 643-644 - Manvi Choudhary, Antoine Gourru, Charlotte Laclau, Christine Largeron:
Comment rendre un GNN plus équitable pour la prédiction de liens ? EGC 2023: 127-138 - Bastien Giles, Baptiste Jeudy, Christine Largeron, Damien Saboul:
Un cadre semi-supervisé résilient pour la détection d'anomalie sur graphe attribué. EGC 2023: 55-66 - Lucas Potin, Rosa Figueiredo, Vincent Labatut, Christine Largeron:
Extraction de motifs pour la détection d'anomalies dans des graphes : application à la fraude dans les marchés publics. EGC 2023: 289-296 - Bastien Giles, Baptiste Jeudy, Christine Largeron, Damien Saboul:
Suspicious: a Resilient Semi-Supervised Framework for Graph Fraud Detection. ICTAI 2023: 212-220 - Lucas Potin, Rosa Figueiredo, Vincent Labatut, Christine Largeron:
Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement. ECML/PKDD (6) 2023: 69-87 - Bissan Audeh, Maia Sutter, Christine Largeron:
Comparative Study of Unsupervised Keyword Extraction Methods for Job Recommendation in an Industrial Environment. RCIS 2023: 551-558 - Lucas Potin, Vincent Labatut, Pierre-Henri Morand, Christine Largeron:
FOPPA: An Open Database of French Public Procurement Award Notices From 2010-2020. CoRR abs/2305.18317 (2023) - Lucas Potin, Rosa Figueiredo, Vincent Labatut, Christine Largeron:
Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement. CoRR abs/2306.10857 (2023) - 2022
- Eric Austin, Amine Trabelsi, Christine Largeron, Osmar R. Zaïane:
Hierarchical Topic Model Inference by Community Discovery on Word Co-occurrence Networks. AusDM 2022: 148-162 - Eric Austin, Osmar R. Zaïane, Christine Largeron:
Community Topic: Topic Model Inference by Consecutive Word Community Discovery. COLING 2022: 971-983 - Rémi Vaudaine, Baptiste Jeudy, Christine Largeron:
Detection d'anomalies contextuelles dans un graphe attribué. EGC 2022: 387-394 - Manvi Choudhary, Charlotte Laclau, Christine Largeron:
A Survey on Fairness for Machine Learning on Graphs. CoRR abs/2205.05396 (2022) - 2021
- Diana Ramírez-Cifuentes, Christine Largeron, Julien Tissier, Ricardo Baeza-Yates, Ana Freire:
Enhanced Word Embedding Variations for the Detection of Substance Abuse and Mental Health Issues on Social Media Writings. IEEE Access 9: 130449-130471 (2021) - Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron:
All of the Fairness for Edge Prediction with Optimal Transport. AISTATS 2021: 1774-1782 - Rémi Vaudaine, Rémy Cazabet, Christine Largeron:
Comparaison de la capacité des plongements de graphes à capturer les propriétés des réseaux. EGC 2021: 517-518 - Christine Largeron, Andrei Mardale, Marian-Andrei Rizoiu:
Linking the Dynamics of User Stance to the Structure of Online Discussions. IDA 2021: 275-286 - Rémi Vaudaine, Baptiste Jeudy, Christine Largeron:
Detection of Contextual Anomalies in Attributed Graphs. IDA 2021: 338-349 - Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - Christine Largeron, Andrei Mardale, Marian-Andrei Rizoiu:
Linking User Opinion Dynamics and Online Discussions. CoRR abs/2101.09852 (2021) - 2020
- Suzanne Mpouli, Michel Beigbeder, Christine Largeron:
Lexifield: a system for the automatic building of lexicons by semantic expansion of short word lists. Knowl. Inf. Syst. 62(8): 3181-3201 (2020) - Suzanne Mpouli, Christine Largeron, Michel Beigbeder:
Construction automatique de lexiques thématiques. EGC 2020: 157-168 - Shiva Zamani Gharaghooshi, Osmar R. Zaïane, Christine Largeron, Mohammadmahdi Zafarmand, Chang Liu:
Addressing the Resolution Limit and the Field of View Limit in Community Mining. IDA 2020: 210-222
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