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2020 – today
- 2024
[j22]Noé Cecillon
, Vincent Labatut, Richard Dufour, Nejat Arinik:
Whole-Graph Representation Learning for the Classification of Signed Networks. IEEE Access 12: 151303-151316 (2024)- [j21]Arthur Amalvy, Vincent Labatut, Richard Dufour:
Renard: A Modular Pipeline for Extracting Character Networks from Narrative Texts. J. Open Source Softw. 9(98): 6574 (2024) - [j20]Arthur Amalvy, Madeleine Janickyj, Shane Mannion, Pádraig MacCarron, Vincent Labatut:
Interconnected Kingdoms: comparing 'A Song of Ice and Fire' adaptations across media using complex networks. Soc. Netw. Anal. Min. 14(1): 199 (2024) - [c37]Arthur Amalvy, Vincent Labatut, Richard Dufour:
Apprendre à classer le contexte pour la reconnaissance d'entités nommées en utilisant un jeu de données synthétique. CORIA 2024 - [c36]Khaoula Otmani, Rachid El Azouzi, Vincent Labatut:
FedSV: Byzantine-Robust Federated Learning via Shapley Value. ICC 2024: 4620-4625 - [i58]Sükrü Demir Inan Özer, Günce Keziban Orman, Vincent Labatut:
Link Prediction in Bipartite Networks. CoRR abs/2406.06658 (2024) - [i57]Arthur Amalvy, Vincent Labatut, Richard Dufour:
Renard: A Modular Pipeline for Extracting Character Networks from Narrative Texts. CoRR abs/2407.02284 (2024) - [i56]Noé Cecillon, Vincent Labatut, Richard Dufour, Nejat Arinik:
Whole-Graph Representation Learning For the Classification of Signed Networks. CoRR abs/2409.20073 (2024) - [i55]Arthur Amalvy, Vincent Labatut:
Annotation Guidelines for Corpus Novelties: Part 2 - Alias Resolution Version 1.0. CoRR abs/2410.00522 (2024) - [i54]Arthur Amalvy, Vincent Labatut:
Annotation Guidelines for Corpus Novelties: Part 1 - Named Entity Recognition. CoRR abs/2410.02281 (2024) - [i53]Arthur Amalvy, Madeleine Janickyj, Shane Mannion, Pádraig MacCarron, Vincent Labatut:
Interconnected Kingdoms: Comparing 'A Song of Ice and Fire' Adaptations Across Media Using Complex Networks. CoRR abs/2410.05453 (2024) - 2023
- [j19]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Efficient enumeration of the optimal solutions to the correlation clustering problem. J. Glob. Optim. 86(2): 355-391 (2023) - [c35]Arthur Amalvy, Vincent Labatut, Richard Dufour:
The Role of Global and Local Context in Named Entity Recognition. ACL (2) 2023: 714-722 - [c34]Arthur Amalvy, Vincent Labatut, Richard Dufour:
Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset. EMNLP 2023: 10372-10382 - [c33]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 - [c32]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 - [i52]Arthur Amalvy, Vincent Labatut, Richard Dufour:
Data Augmentation for Robust Character Detection in Fantasy Novels. CoRR abs/2302.04555 (2023) - [i51]Arthur Amalvy, Vincent Labatut, Richard Dufour:
The Role of Global and Local Context in Named Entity Recognition. CoRR abs/2305.03132 (2023) - [i50]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) - [i49]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) - [i48]Arthur Amalvy, Vincent Labatut, Richard Dufour:
Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset. CoRR abs/2310.10118 (2023) - 2022
- [j18]Vincent Labatut:
Complex Network Analysis of a Graphic Novel: the Case of the bande dessinée Thorgal. Adv. Complex Syst. 25(5&6): 2240003:1-2240003:34 (2022) - [c31]Arthur Amalvy, Vincent Labatut, Richard Dufour:
Data Augmentation for Robust Character Detection in Fantasy Novels. COMHUM 2022: 23-32 - [c30]Arthur Amalvy, Vincent Labatut, Richard Dufour:
Remplacement de mentions pour l'adaptation d'un corpus de reconnaissance d'entités nommées à un domaine cible (Mention replacement for adapting a named entity recognition dataset to a target domain). TALN-RECITAL 2022: 198-205 - [i47]Vincent Labatut:
Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée Thorgal. CoRR abs/2206.10162 (2022) - 2021
- [b2]Vincent Labatut:
Combining Heterogeneous Information: Contributions to the Extraction and Analysis of Feature-Rich Complex Networks. University of Avignon, France, 2021 - [j17]Nejat Arinik, Vincent Labatut, Rosa Figueiredo:
Characterizing and Comparing External Measures for the Assessment of Cluster Analysis and Community Detection. IEEE Access 9: 20255-20276 (2021) - [j16]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Multiplicity and diversity: analysing the optimal solution space of the correlation clustering problem on complete signed graphs. J. Complex Networks 8(6) (2021) - [j15]Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linarès:
Graph Embeddings for Abusive Language Detection. SN Comput. Sci. 2(1): 37 (2021) - [i46]Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linarès:
Graph embeddings for Abusive Language Detection. CoRR abs/2101.02988 (2021) - [i45]Nejat Arinik, Vincent Labatut, Rosa Figueiredo:
Characterizing and comparing external measures for the assessment of cluster analysis and community detection. CoRR abs/2102.00708 (2021) - 2020
- [j14]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Multiple partitioning of multiplex signed networks: Application to European parliament votes. Soc. Networks 60: 83-102 (2020) - [c29]Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linarès:
WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection. LREC 2020: 1382-1390 - [c28]Xavier Bost, Vincent Labatut, Georges Linarès:
Serial Speakers: a Dataset of TV Series. LREC 2020: 4256-4264 - [c27]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Characterizing measures for the assessment of cluster analysis and community detection (extended abstract). MARAMI 2020 - [c26]Noé Cecillon, Richard Dufour, Vincent Labatut, Georges Linarès:
Tuning Graph2vec with Node Labels for Abuse Detection in Online Conversations (extended abstract). MARAMI 2020 - [i44]Xavier Bost, Vincent Labatut, Georges Linarès:
Serial Speakers: a Dataset of TV Series. CoRR abs/2002.06923 (2020) - [i43]Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linarès:
WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection. CoRR abs/2003.06190 (2020) - [i42]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs. CoRR abs/2011.05196 (2020)
2010 – 2019
- 2019
- [j13]Vincent Labatut, Xavier Bost:
Extraction and Analysis of Fictional Character Networks: A Survey. ACM Comput. Surv. 52(5): 89:1-89:40 (2019) - [j12]Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linarès:
Abusive Language Detection in Online Conversations by Combining Content- and Graph-Based Features. Frontiers Big Data 2: 8 (2019) - [j11]Xavier Bost, Serigne Gueye, Vincent Labatut, Martha A. Larson, Georges Linarès, Damien Malinas, Raphaël Roth:
Remembering winter was coming - Character-oriented video summaries of TV series. Multim. Tools Appl. 78(24): 35373-35399 (2019) - [j10]Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linarès:
Conversational Networks for Automatic Online Moderation. IEEE Trans. Comput. Soc. Syst. 6(1): 38-55 (2019) - [c25]Adrien Gresse, Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre:
Similarity Metric Based on Siamese Neural Networks for Voice Casting. ICASSP 2019: 6585-6589 - [i41]Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linarès:
Conversational Networks for Automatic Online Moderation. CoRR abs/1901.11281 (2019) - [i40]Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linarès:
Abusive Language Detection in Online Conversations by Combining Content-and Graph-based Features. CoRR abs/1905.07894 (2019) - [i39]Vincent Labatut, Xavier Bost:
Extraction and Analysis of Fictional Character Networks: A Survey. CoRR abs/1907.02704 (2019) - [i38]Xavier Bost, Serigne Gueye, Vincent Labatut, Martha A. Larson, Georges Linarès, Damien Malinas, Raphaël Roth:
Remembering winter was coming. CoRR abs/1909.02423 (2019) - 2018
- [j9]Vincent Labatut:
Continuous average Straightness in spatial graphs. J. Complex Networks 6(2): 269-296 (2018) - [p2]Xavier Bost, Vincent Labatut, Serigne Gueye, Georges Linarès:
Extraction and Analysis of Dynamic Conversational Networks from TV Series. Social Network Based Big Data Analysis and Applications 2018: 55-84 - [r1]Vincent Labatut, Günce Keziban Orman:
Community Structure Characterization. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i37]Xavier Bost, Vincent Labatut, Serigne Gueye, Georges Linarès:
Extraction and Analysis of Dynamic Conversational Networks from TV Series. CoRR abs/1805.06782 (2018) - [i36]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Analysis of Roll-Calls in the European Parliament by Multiple Partitioning of Multiplex Signed Networks. CoRR abs/1811.10337 (2018) - 2017
- [j8]Alexandre Reiffers-Masson, Vincent Labatut:
Opinion-based centrality in multiplex networks: A convex optimization approach. Netw. Sci. 5(2): 213-234 (2017) - [c24]Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linarès:
Impact of Content Features for Automatic Online Abuse Detection. CICLing (2) 2017: 404-419 - [c23]Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linarès:
Detection of abusive messages in an on-line community. CORIA 2017: 153-168 - [c22]Adrien Gresse, Mickael Rouvier, Richard Dufour, Vincent Labatut, Jean-François Bonastre:
Acoustic Pairing of Original and Dubbed Voices in the Context of Video Game Localization. INTERSPEECH 2017: 2839-2843 - [c21]Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linarès:
Graph-Based Features for Automatic Online Abuse Detection. SLSP 2017: 70-81 - [c20]Mathias Quillot, Cassandre Ollivier, Richard Dufour, Vincent Labatut:
Exploring Temporal Analysis of Tweet Content from Cultural Events. SLSP 2017: 82-93 - [i35]Alexandre Reiffers-Masson, Vincent Labatut:
Opinion-Based Centrality in Multiplex Networks: A Convex Optimization Approach. CoRR abs/1703.03741 (2017) - [i34]Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linarès:
Impact Of Content Features For Automatic Online Abuse Detection. CoRR abs/1704.03289 (2017) - [i33]Günce Keziban Orman, Vincent Labatut, Ahmet Teoman Naskali:
Exploring the Evolution of Node Neighborhoods in Dynamic Networks. CoRR abs/1704.07171 (2017) - [i32]Vincent Labatut, Günce Keziban Orman:
Community Structure Characterization. CoRR abs/1705.10621 (2017) - [i31]Vincent Labatut:
Continuous Average Straightness in Spatial Graphs. CoRR abs/1708.00743 (2017) - [i30]Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linarès:
Graph-based Features for Automatic Online Abuse Detection. CoRR abs/1708.01060 (2017) - [i29]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Signed Graph Analysis for the Interpretation of Voting Behavior. CoRR abs/1712.10157 (2017) - 2016
- [j7]Jean-Valère Cossu, Vincent Labatut, Nicolas Dugué:
A review of features for the discrimination of twitter users: application to the prediction of offline influence. Soc. Netw. Anal. Min. 6(1): 25:1-25:23 (2016) - [c19]Xavier Bost, Vincent Labatut, Serigne Gueye, Georges Linarès:
Narrative smoothing: Dynamic conversational network for the analysis of TV series plots. ASONAM 2016: 1111-1118 - [i28]Xavier Bost, Vincent Labatut, Georges Linarès:
Narrative smoothing: dynamic conversational network for the analysis of TV Series plots. CoRR abs/1602.07811 (2016) - [i27]Didier Josselin, Vincent Labatut, Dieter Mitsche:
Straightness of rectilinear vs. radio-concentric networks: modeling simulation and comparison. CoRR abs/1609.05719 (2016) - 2015
- [j6]Vincent Labatut:
Generalised measures for the evaluation of community detection methods. Int. J. Soc. Netw. Min. 2(1): 44-63 (2015) - [j5]Didier Josselin, Sonia Chekir, Alain Pasquet, Vincent Labatut, Yvan Capowiez, Christophe Mazzia, Yezekael Hayel, Adrien Lammoglia, Cyrille Genre-Grandpierre, Dieter Mitsche, Frédéric Patras:
Modélisation, simulation et analyse de propriétés de réseaux orbitèles. Rev. Int. Géomatique 25(4): 515-536 (2015) - [j4]Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut:
Interpreting communities based on the evolution of a dynamic attributed network. Soc. Netw. Anal. Min. 5(1): 20:1-20:22 (2015) - [j3]Nicolas Dugué, Vincent Labatut, Anthony Perez:
A community role approach to assess social capitalists visibility in the Twitter network. Soc. Netw. Anal. Min. 5(1): 26:1-26:13 (2015) - [c18]Jean-Valère Cossu, Nicolas Dugué, Vincent Labatut:
Detecting Real-World Influence through Twitter. ENIC 2015: 83-90 - [c17]Israel Mendonça, Rosa Figueiredo, Vincent Labatut, Philippe Michelon:
Relevance of Negative Links in Graph Partitioning: A Case Study Using Votes from the European Parliament. ENIC 2015: 122-129 - [i26]Nicolas Dugué, Vincent Labatut, Anthony Perez:
A community role approach to assess social capitalists visibility in the Twitter network. CoRR abs/1506.04571 (2015) - [i25]Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut:
Interpreting communities based on the evolution of a dynamic attributed network. CoRR abs/1506.04693 (2015) - [i24]Jean-Valère Cossu, Nicolas Dugué, Vincent Labatut:
Detecting Real-World Influence Through Twitter. CoRR abs/1506.05903 (2015) - [i23]Israel Mendonça, Rosa Figueiredo, Vincent Labatut, Philippe Michelon:
Relevance of Negative Links in Graph Partitioning: A Case Study Using Votes From the European Parliament. CoRR abs/1507.04215 (2015) - [i22]Jean-Valère Cossu, Vincent Labatut, Nicolas Dugué:
A Review of Features for the Discrimination of Twitter Users: Application to the Prediction of Offline Influence. CoRR abs/1509.06585 (2015) - 2014
- [c16]Vincent Labatut, Nicolas Dugué, Anthony Perez:
Identifying the community roles of social capitalists in the Twitter network. ASONAM 2014: 371-374 - [c15]Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut:
A method for characterizing communities in dynamic attributed complex networks. ASONAM 2014: 481-484 - [c14]Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut:
Une méthode pour caractériser les communautés des réseaux dynamiques à attributs. EGC 2014: 101-112 - [c13]Nicolas Dugué, Vincent Labatut, Anthony Perez:
Identification de rôles communautaires dans des réseaux orientés appliquée à Twitter. EGC 2014: 125-130 - [i21]Burcu Kantarci, Vincent Labatut:
Classification of Complex Networks Based on Topological Properties. CoRR abs/1402.0238 (2014) - [i20]Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut:
A Method for Characterizing Communities in Dynamic Attributed Complex Networks. CoRR abs/1406.6597 (2014) - [i19]Vincent Labatut, Nicolas Dugué, Anthony Perez:
Identifying the Community Roles of Social Capitalists in the Twitter Network. CoRR abs/1406.6611 (2014) - 2013
- [j2]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
Towards realistic artificial benchmark for community detection algorithms evaluation. Int. J. Web Based Communities 9(3): 349-370 (2013) - [c12]Burcu Kantarci, Vincent Labatut:
Classification of Complex Networks Based on Topological Properties. CGC 2013: 297-304 - [c11]Samet Atdag, Vincent Labatut:
A comparison of named entity recognition tools applied to biographical texts. ICSCS 2013: 228-233 - [p1]Vincent Labatut, Jean-Michel Balasque:
Informative Value of Individual and Relational Data Compared Through Business-Oriented Community Detection. The Influence of Technology on Social Network Analysis and Mining 2013: 303-330 - [i18]Vincent Labatut:
Generalized Measures for the Evaluation of Community Detection Methods. CoRR abs/1303.5441 (2013) - [i17]Chantal Cherifi, Vincent Labatut, Jean François Santucci:
Benefits of Semantics on Web Service Composition from a Complex Network Perspective. CoRR abs/1305.0191 (2013) - [i16]Cihan Aksoy, Vincent Labatut, Chantal Cherifi, Jean François Santucci:
MATAWS: A Multimodal Approach for Automatic WS Semantic Annotation. CoRR abs/1305.0194 (2013) - [i15]Chantal Cherifi, Vincent Labatut, Jean François Santucci:
Topological Properties of Web Services Similarity Networks. CoRR abs/1305.0196 (2013) - [i14]Chantal Cherifi, Vincent Labatut, Jean François Santucci:
Web Services Dependency Networks Analysis. CoRR abs/1305.0261 (2013) - [i13]Chantal Cherifi, Vincent Labatut, Jean François Santucci:
On Flexible Web Services Composition Networks. CoRR abs/1305.0688 (2013) - [i12]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
Towards realistic artificial benchmark for community detection algorithms evaluation. CoRR abs/1308.0577 (2013) - [i11]Samet Atdag, Vincent Labatut:
A Comparison of Named Entity Recognition Tools Applied to Biographical Texts. CoRR abs/1308.0661 (2013) - [i10]Nicolas Dugué, Vincent Labatut, Anthony Perez:
Rôle communautaire des capitalistes sociaux dans Twitter. CoRR abs/1309.2132 (2013) - [i9]Nicolas Dugué, Vincent Labatut, Anthony Perez:
Identification de rôles communautaires dans des réseaux orientés appliquée à Twitter. CoRR abs/1312.3794 (2013) - [i8]Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut:
Une méthode pour caractériser les communautés des réseaux dynamiques à attributs. CoRR abs/1312.4676 (2013) - 2012
- [c10]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
An Empirical Study of the Relation between Community Structure and Transitivity. CompleNet 2012: 99-110 - [c9]Vincent Labatut, Atay Ozgovde:
Topological Measures for the Analysis of Wireless Sensor Networks. ANT/MobiWIS 2012: 397-404 - [i7]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
Comparative Evaluation of Community Detection Algorithms: A Topological Approach. CoRR abs/1206.4987 (2012) - [i6]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
An Empirical Study of the Relation Between Community Structure and Transitivity. CoRR abs/1207.3234 (2012) - [i5]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
Qualitative Comparison of Community Detection Algorithms. CoRR abs/1207.3603 (2012) - [i4]Vincent Labatut, Hocine Cherifi:
Accuracy Measures for the Comparison of Classifiers. CoRR abs/1207.3790 (2012) - [i3]Vincent Labatut, Atay Ozgovde:
Topological measures for the analysis of wireless sensor networks. CoRR abs/1208.2712 (2012) - 2011
- [c8]Chantal Cherifi, Vincent Labatut, Jean François Santucci:
On Flexible Web Services Composition Networks. DICTAP (1) 2011: 45-59 - [c7]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
Qualitative Comparison of Community Detection Algorithms. DICTAP (2) 2011: 265-279 - [c6]Cihan Aksoy, Vincent Labatut, Chantal Cherifi, Jean François Santucci:
MATAWS: A Multimodal Approach for Automatic WS Semantic Annotation. NDT 2011: 319-333 - [i2]Vincent Labatut, Hocine Cherifi:
Evaluation of Performance Measures for Classifiers Comparison. CoRR abs/1112.4133 (2011) - [i1]Günce Keziban Orman, Vincent Labatut, Hocine Cherifi:
On Accuracy of Community Structure Discovery Algorithms. CoRR abs/1112.4134 (2011) - 2010
- [c5]Vincent Labatut, Jean-Michel Balasque:
Business-Oriented Analysis of a Social Network of University Students: Informative Value of Individual and Relational Data Compared through Group Detection. ASONAM 2010: 25-32 - [c4]Günce Keziban Orman, Vincent Labatut:
The Effect of Network Realism on Community Detection Algorithms. ASONAM 2010: 301-305 - [c3]Chantal Cherifi, Vincent Labatut, Jean François Santucci:
Benefits of Semantics on Web Service Composition from a Complex Network Perspective. NDT (2) 2010: 80-90
2000 – 2009
- 2009
- [c2]Günce Keziban Orman, Vincent Labatut:
A Comparison of Community Detection Algorithms on Artificial Networks. Discovery Science 2009: 242-256 - 2004
- [j1]Vincent Labatut, Josette Pastor, Serge Ruff, Jean-François Démonet, Pierre Celsis:
Cerebral modeling and dynamic Bayesian networks. Artif. Intell. Medicine 30(2): 119-139 (2004) - 2003
- [b1]Vincent Labatut:
Réseaux causaux probabilistes à grande échelle : un nouveau formalisme pour la modélisation du traitement de l'information cérébrale. (Large-Scale Probabilistic Causal Networks: a New Formalism for cerebral Information Processing Modeling). Paul Sabatier University, Toulouse, France, 2003 - [c1]Vincent Labatut, Josette Pastor, Serge Ruff:
Dynamic Bayesian modeling of the cerebral activity. IJCAI 2003: 169-176
Coauthor Index
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