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Keywords

Cluster Analysis European Parliament Signed graphs Réseaux complexes Community Detection Graph Partitioning Centrality measure Correlation Clustering Twitter Community detection Named entity recognition Community Structure Social networks Structural Balance Classification Signed Graph Complex networks Dynamic Bayesian networks Computational neuroscience Complex Networks
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113

Vincent Labatut

Position

Associate Professor HDR, Avignon Université
Laboratoire Informatique d'Avignon - LIA EA 4128 (AU CS Lab)
Centre d'enseignement et de recherche en informatique - CERI (AU CS Department)

Contact Information

  • Room: C114
  • Email: vincent.labatut@univ-avignon.fr
  • Telephone: +33 (0)4 90 84 35 25
  • Address: LIA-CERI, 339 chemin des Meinajariès, BP 1228, 84911 Avignon Cedex 9, France

On-line Presence

> Professional Experience

> Education

> Teaching

> Seminars

> Supervision

> Review Work

> Organization

> Publications

Short biography. Vincent Labatut graduated in Computer Science at the Université de Pau et des Pays de l'Adour (France) in 1998, and obtained a MSc. degree in Artificial Intelligence at the Université Paul-Sabatier Toulouse III (France) in 2000. He joined the INSERM (French National Institute of Health and Medical Research) and completed his PhD in Artificial Intelligence in 2003, working on large-scale cerebral networks. In 2005, he was hired as an assistant professor by Galatasaray Üniversitesi in Istanbul (Turkey) where he turned to data mining and complex network analysis. In 2014, he moved to Avignon Université (France) as an associate professor. He now works in problems related to the extraction of complex networks from raw data (in particular text) and to their characterization, which includes designing centrality measures and partitioning methods. As a member of the Agorantic Research Federation, he works on various interdisciplinary problems, e.g. identifying the online activity of politicians, describing influence networks at the time of Carolus Magnus, studying biomimetic connections between certain urban structures and spider webs, detecting situations of corruption in public procurements. He obtained an Habilitation à Diriger des Recherches (HDR) at Avignon Université in 2021.

Research topics. His current research topics include complex network analysis (centrality, community detection, signed networks, etc.), as well as information retrieval and natural language processing (especially in/on/for graphs).

Professional Experience

2014–Présent
Avignon, France		 Associate Professor, Avignon Université
2005–2014
Istanbul, Turkey		 Assistant Professor, Galatasaray Üniversitesi
2003–2006
Toulouse, France		 Technical consultant and co-founder, Personnalité Numérique SAS
Internet start-up, developed a remote/portable virtual hard-drive
2003–2005
Toulouse, France		 Lecturer (ATER), Université Toulouse III Paul-Sabatier
Part-time position
2000–2003
Toulouse, France		 Junior Lecturer, Université Toulouse III Paul-Sabatier

Education

2021
Avignon		 Habilitation à Diriger des Recherches (HDR), Avignon Université
Specialty: Computer Science
Title: "Combining Heterogeneous Information: Contributions to the Extraction and Analysis of Feature-Rich Complex Networks" ⟨tel-03264989⟩
Defense: 16 june 2021, Avignon
2000–2003
Toulouse		 Doctor of Philosophy (PhD), Université Toulouse III Paul-Sabatier
Specialty: Computer Science
Funded by a a French national research fellowship
Title: "Reseaux causaux probabilistes à grande echelle : un nouveau formalisme pour la modelisation du traitement de l'information cerebrale" (Large scale probabilistic causal networks: a new formalism for the modeling of cerebral information processing) ⟨tel-00005190⟩
Defense: 18 december 2003, Toulouse
Supervisor: Josette Pastor, IR HDR INSERM, Unité 455, Toulouse
1999–2000
Toulouse		 Diplôme d'études approfondies (DEA) (Master of Science), Université Toulouse III Paul-Sabatier
Specialty: Artificial Intelligence
Title: "Reseaux causaux : quelle approche pour le cerveau ?" (Causal networks: Which approach to model the brain?)
Supervisor: Josette Pastor, IR HDR INSERM, Unité 455, Toulouse
1998–1999
Toulouse		 Maîtrise (Bachelor of Science), Université Toulouse III Paul-Sabatier
Specialty: Computer Science
1997–1998
Pau		 Licence, Université de Pau et des pays de l'Adour
Speciality: Computer Science
1995–1997
Pau		 Diplôme d'études universitaires générales (DEUG), Université de Pau et des pays de l'Adour
Specialty: Mathematics & Computer Science (MIAS)

Teaching

Domain Year Course Language
Unsupervised Learning M2 Computer Science FR
Information Retrieval M1, M2 Computer Science, Economics/Law FR
Complex Networks M2 Computer Science, Geography FR, EN
Data Mining M2 Computer Science FR, EN
Artificial Intelligence L3, M1 Computer Science, Biology FR
Object and UML Modeling L3 Computer Science FR
Java Programming L3 Computer Science FR
Web Programming M1, M2 Computer Science FR, EN
Caml Programming L1, L2 Computer Science, Mathematics FR
Pascal Programming L1 Biologie FR
C Programming L1, L2, L3 Computer Science, Mathematics, Biology, Industrial Engineering FR
Algorithmics L1, L2 Computer Science, Mathematics, Industrial Engineering FR
Database Management L3 Biologie FR
Distributed Systems M1 Computer Science FR
Operating Systems L3 Computer Science FR
Logic L1 Computer Science, Mathematics FR
Boole Algebra L1 Computer Science, Mathematics FR
Office Suite L1, L3 Computer Science, Mathematics, Biology FR
Introduction to Computer Science L1 Computer Science, Mathematics FR

Seminars

  • "Résumé automatique de séries TV'' (Automatic summarization of TV series). 20èmes Rencontres enseignants-chercheurs LIA/LMA, Avignon, France, 12/03/2020.
  • "Modélisation par graphes signés pour détecter les situations de conflits" (Signed graph-based models to detect conflictual situations). Journée Humanités Numériques, organized by UMR Ciham & FR Agorantic, Avignon, France, 27/05/2019.
  • "Playing around with CLEF collections, Elastic Search and Kibana". CLEF/ARIA Master Class, with R. Dufour & L. Ermakova, CLEF 2018, Avignon, France, 14/09/2018.
  • "Données ouvertes et détection de corruption dans les marchés publics" (Open data and detection of corruption in public procurements). Series of seminars on the digital world, Université pour Tous, Vaison-la-romaine, France, 09/01/2018.
  • "Modèles à base de graphes signés pour la détection de corruption dans les marchés publics" (Signed Graph-based Models for the Detection of Corruption in Public Procurements). Seminars of the Living Lab, Villa Créative Supramuros, Université d'Avignon et des Pays du Vaucluse (UAPV), France, 11/07/2017.
  • "Modélisation par graphes signés" (Modeling through Signed Graphs). Seminar of the FR Agorantic, Université d'Avignon et des Pays du Vaucluse (UAPV), France, 07/12/2016.
  • "Complex Networks & Community Detection". École Doctorale Agrosciences & Sciences (ED 536), Université d'Avignon et des Pays du Vaucluse (UAPV), France, 15/06/2016.
  • "Complex Networks: Presentation, main results and open problems". Maore Team seminars, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (LIRMM), Université de Montpellier, France, 09/05/2016.
  • "Rôle communautaire d'un nœud". Working seminars of Espace, UMR Espace, Aix-Marseille Université (AMU), Aix-en-Provence, France, 26/05/2015.
  • "Natural Language and Complex Networks". Apprentissage automatique et sciences du langage seminars, Laboratoire Parole et Langage (LPL), Aix-Marseille Université (AMU), Aix-en-Provence, France, 15/05/2015.
  • "Analyse de réseaux complexes" (Complex networks analysis). Team ComplexNetworks seminars, Laboratoire d'informatique de l'Université Pierre et Marie Curie – Paris 6 (LIP6), France, 12/04/2013.
  • "Analyse de réseaux complexes" (Complex network analysis). Team A3 seminars, Laboratoire d'informatique de l'Université Paris Nord – Paris 13 (LIPN), France, 11/04/2013.
  • "Community detection in complex networks: problems, methods and applications". Workshop on graph theory and applications III, Boğaziçi Universitesi, Istanbul, Turkey, 11/10/2012.
  • "Complex Network Analysis" (Complex network analysis). Seminars of the Mathematics Department, Galatasaray Üniversitesi, Istanbul, Turkey, 20/04/2012.
  • "Détection et interprétation de communautés dans les réseaux complexes" (Detection and interpretation of communities in complex networks). IRIT-UT1 seminars, Université Toulouse 1 Capitole, Toulouse, France, 24/01/2012.
  • "Réseaux complexes : une introduction" (ComplexNetworks: an Introduction). Département d'informatique, Galatasaray Üniversitesi, Istanbul, Turkey, 21/12/2011.
  • "Complex Networks: Methods and Application to a Few Case Studies". Team SosLab seminars, Université Boğaziçi, Istanbul, Turquie, 20/06/2011.
  • "Réseaux causaux probabilistes à grande échelle" (Large-scale causal probabilistic networks). Team Cortex seminars, Loria, Nancy, France, 29/03/2004.

Supervision

Undegraduate and M1 theses

  • Alexandre Faure, Laurent Pereira da Silva Quintas, and Virgile Sucal. "Classification de graphes signés" (Classifying signed graphs). Co-advised with R. Figueiredo & N. Arınık (LIA). Master 1 Thesis. Avignon, FR: Université d’Avignon, 2021.
  • Tewis Lemaire and Baptiste Quay. "Extraction de réseaux sociaux fictionnels à partir de romans" (Extraction of fictional social networks from novels). Co-advised with X. Bost (Orkis). Master 1 Thesis. Avignon, FR: Université d’Avignon, 2021.
  • Vincent De Germiny, Maximilien Hugot, and Alexandre Martin. "Réseaux politiques et dynamiques spatiales" (Political networks and spatial dynamics). Co-advised with R. Figueiredo (LIA) & A. Grunin (CIHAM). Master 1 Thesis. Avignon, FR: Université d’Avignon, 2019.
  • Julien Boge, Julien Delvaux, and Adrien Sartori. "Réseaux et pouvoir dans l’Europe du premier Moyen-Âge" (Networks and power in first Middle-Age Europe). Co-advised with R. Figueiredo (LIA) & A. Grunin (CIHAM). Master 1 Thesis. Avignon, FR: Université d’Avignon, 2018.
  • Axel Clerici, Alexandra Moshina, and Gaëtan Schmidt. "Extraction de réseaux sociaux fictionnels à partir de textes" (Extraction of fictional social networks from text). Master 1 Thesis. Avignon, FR: Université d’Avignon, 2018.
  • Hajar Ezzraidy, Ayoub Hajjar, and Jihan Menioui. "Traitement des réseaux signés" (Processing of signed networks). Co-advised with R. Figueiredo (LIA). Master 1 Thesis. Avignon, FR: Université d’Avignon, 2016.
  • Banu Erdem. "Analyse et extraction de données à partir du site du Parlement Européen" (Analysis and extraction of data from the European Parliament website). Lisans Thesis. Istanbul, TR: Galatasaray Üniversitesi, 2013.
  • Bekir Çınar. "Détection de communautés par propagation du label pour la plateforme Gephi" (Community detection through Label Propagation for the Gephi framework). Lisans Thesis. Istanbul, TR: Galatasaray Üniversitesi, 2013.
  • Hatice Burcu Küpelioğlu. "Exploitation de la syntaxe HTML pour la reconnaissance d'entités nommées" (Leveraging HTML syntax for the recognition of named entities). Lisans Thesis. Istanbul, TR: Galatasaray Üniversitesi, 2012.
  • Burcu Kantarcı. "Mise en place d'une Plateforme pour la détection de communautés dans les réseaux complexes" (Setting up a platform for the detection of communities in complex networks). Lisans Thesis. Istanbul, TR: Galatasaray Üniversitesi, 2011.
  • Yasa Bolkar Akbulut. "Reconnaissance d'entités nommées pour l'extraction automatique d'un réseau social à partir de Wikipedia" (Named entity recongnition for the automatic extraction of a social network based on Wikipedia). Lisans Thesis. Istanbul, TR: Galatasaray Üniversitesi, 2011.
  • Cihan Aksoy and Koray Mançuhan. "Annotation automatique de descriptions de services Web" (Automatic annotation of Web service descriptions)’. Lisans Thesis. Istanbul, TR: Galatasaray Üniversitesi, 2010.
  • Nadin Kökciyan. "Classification de services web par des méthodes de clustering"  (Classification of Web services through clustering methods). Lisans Thesis. Istanbul, TR: Galatasaray Üniversitesi, 2009.

Graduate and M2 theses

  • Thomas Bringer. "Extraction et analyse de graphes signés pour détecter la corruption dans les marchés publics" (Extraction and analysis of signed graphs to detect corruption in public procurement). Coadvised with R. Figueiredo (LIA). Master 2 Thesis. Avignon, FR: Université d’Avignon, 2019.
  • Noé Cécillon. "Exploration de caractéristiques d’embeddings de graphes pour la détection de messages abusifs" (Exploring graph embedding characteristics for the detection of abusive messages). Co-advised with R. Dufour (LIA). Master 2 Thesis. Avignon, FR: Université d’Avignon, 2019.
  • Vitor dos Santos Ponciano. "Graph optimization problems related with social network balance". Co-advised with R. Figueiredo (LIA) & P.-H. Morand (LBNC – Laboratoire Biens, Normes, Contrats). Master 2 Thesis. Avignon, FR: Université d’Avignon, 2016.
  • Abir Hadda. "Résolution automatique d’anaphores grammaticales" (Automatic resolution of grammatical anaphoras). Co-advised with L. A. Cabrera Diego (LIA) & J.-M. Torres (LIA). Master 2 Thesis. Avignon, FR: Université d’Avignon, 2016.
  • Chadine Ganouni. "Capturer les criminels ! Une approche combinant les jeux à somme nulle et l’apprentissage en ligne" (Capture the felons! An approach combining zero-sum games and on-line learning). Co-advised with A. Reiffers-Masson (INRIA) & Y. Hayel (LIA). Master 2 Thesis. Avignon, FR: Avignon Université, 2016.
  • Adonis Baazaoui. "Trust networks based on social networks". Co-advised with R. El-Azouzi (LIA). Master 2 Thesis. Avignon, FR: Université d’Avignon et des Pays de Vaucluse, 2015.
  • Sabrine Ayachi. "Extraction de réseaux sociaux à partir de notices biographiques" (Extraction of social networks based on biographical articles). Co-advised with G. Marrel (LBNC – Laboratoire Biens, Normes, Contrats) & F. Monier (CNE – CentreNorbert Elias). Master 2 Thesis. Avignon, FR: Université d’Avignon et des Pays de Vaucluse, 2015.
  • Burcu Kantarcı. "Classification of Complex Networks in Terms of Topological Properties". MSc Thesis. Istanbul, TR: Galatasaray Üniversitesi, 2013.
  • Samet Atdağ. "Comparison and Combination of Named Entity Recognition Tools Applied to Biographical Texts". MSc Thesis. Istanbul, TR: Galatasaray Üniversitesi, 2013.
  • Cihan Aksoy. "Fully Automatic Annotation of Web Service Descriptions". MSc Thesis. Istanbul, TR: Galatasaray Üniversitesi, 2013.
  • Günce Keziban Orman. "Community Detection in Complex Networks". MSc Thesis. Istanbul, TR: Galatasaray Üniversitesi, 2010.
  • Barış Aksoy. "Cluster Analysis of Decompression Illness". Co-advised with M. Egit (Galatasaray Üniversitesi). MSc Thesis. Istanbul, TR: Galatasaray Üniversitesi, 2009.
  • Sylvain Gadave. "Aide à la construction de modèles en neurosciences" (Helping to design neuroscience models). DESS Thesis. Toulouse, FR: Université Paul-Sabatier - Toulouse III, 2005.

Pre-doctoral Internships

  • Nejat Arınık. "Modélisation par graphes signés pour détecter les situations de corruption et de collusion dans les marchés publics" (Signed graph modeling for the detection of corruption and collusion in public procurement). Co-advised with R. Figueiredo (LIA) & P.-H. Morand (LBNC). Avignon, FR: Université d’Avignon, 2017.
  • Israel Mendonça. "Signed Graph Optimization Applied to Community Detection and Related Problems". Co-advised with R. Figueiredo (LIA) & P. Michelon (LIA). Avignon, FR: Université d’Avignon, 2015.

Doctoral Theses

  • Arthur Amalvy. "Natural language processing and relationship modelisation for the unified representation of narrative documents". Co-advised with R. Dufour (LS2N). PhD Thesis. Avignon, FR : Avignon Université, Expected in 2024.
  • Lucas Potin. "Complex Graph Analysis for the Detection of Corruption in Public Procurements". Co-advised with C. Largeron (Laboratoire Hubert Curien) & R. Figueiredo (LIA). PhD Thesis. Avignon, FR: Avignon Université, Expected in 2024.
  • Noé Cécillon. "Combinaison du contenu et de la structure par representation learning : application à l’analyse de documents textuels" (Combining content and structure through representation learning: application to the analysis of textual documents). Co-advised with G. Linarès (LIA) & R. Dufour (LIA). PhD Thesis. Avignon, FR: Université d’Avignon, Expected in 2022.
  • Noémie Févrat. "Réélection ou rotation ? Reconstitution automatique de trajectoires politiques et réformes de la représentation démocratique" (Relection or rotation? Automatically retrieval of professional political trajectories, and democratic representation reforms)’. Co-advised with G. Marrel (LBNC – Laboratoire Biens, Normes, Contrats). PhD Thesis. Avignon, FR: Université d’Avignon, Expected in 2022.
  • Nejat Arınık. "Solving Graph partitioning problems related to structural balance". Co-advised with R. Figueiredo (LIA) & R. El-Azouzi (LIA). PhD Thesis. Avignon, FR: Avignon Université, 2021.
  • Adrien Gresse. "L'art de la voix : Caractériser l'information vocale dans un choix artistique" (The art of voice: Characterizing vocal information in artistic choices). Co-advised with J.-F. Bonastre (LIA) & R. Dufour (LIA). PhD Thesis. Avignon, FR: Avignon Université, 2020. ⟨tel-02938152⟩
  • Günce Keziban Orman. "Contribution to the interpretation of evolving communities in complex networks : Application to the study of social interactions". Co-advised with J.-F. Boulicaut (INSA Lyon). PhD Thesis. Istanbul, TR & Lyon, FR: Galatasaray Üniversitesi & INSA Lyon, 2014. ⟨tel-01081028⟩

Review Work

Journal Editor

Journal Reviewer

International Conference Reviewer

National Conference Reviewer

Doctoral Committees

Research Agencies

Organization

Publications

Journal articles23 documents

  • Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linares. Graph embeddings for Abusive Language Detection. SN Computer Science, Springer, 2021, 2, pp.37. ⟨10.1007/s42979-020-00413-7⟩. ⟨hal-03042171⟩
  • Noé Cecillon, Richard Dufour, Vincent Labatut. Approche multimodale par plongements de texte et de graphes pour la détection de messages abusifs. Revue TAL, ATALA (Association pour le Traitement Automatique des Langues), 2021, 62 (2), pp.13-38. ⟨hal-03527016⟩
  • Nejat Arinik, Vincent Labatut, Rosa Figueiredo. Characterizing and comparing external measures for the assessment of cluster analysis and community detection. IEEE Access, IEEE, 2021, 9, pp.20255-20276. ⟨10.1109/ACCESS.2021.3054621⟩. ⟨hal-03124118⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs. Journal of Complex Networks, Oxford University Press, 2020, 8 (6), pp.cnaa025. ⟨10.1093/comnet/cnaa025⟩. ⟨hal-02994011⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Multiple partitioning of multiplex signed networks: Application to European parliament votes. Social Networks, Elsevier, 2020, 60, pp.83-102. ⟨10.1016/j.socnet.2019.02.001⟩. ⟨hal-02082574v3⟩
  • Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linares. Conversational Networks for Automatic Online Moderation. IEEE Transactions on Computational Social Systems, IEEE, 2019, 6 (1), pp.38-55. ⟨10.1109/tcss.2018.2887240⟩. ⟨hal-01999546v2⟩
  • Vincent Labatut. Introduction to the special issue on Graph and Network Analysis. Journal of Interdisciplinary Methodologies and Issues in Science, Journal of Interdisciplinary Methodologies and Issues in Science, 2019, Graph and Network Analysis, Analysis of networks and graphs, pp.0. ⟨10.18713/JIMIS-180719-5-6⟩. ⟨hal-02368152v2⟩
  • Vincent Labatut, Xavier Bost. Extraction and Analysis of Fictional Character Networks: A Survey. ACM Computing Surveys, Association for Computing Machinery, 2019, 52 (5), pp.89. ⟨10.1145/3344548⟩. ⟨hal-02173918v5⟩
  • Xavier Bost, Serigne Gueye, Vincent Labatut, Martha Larson, Georges Linarès, et al.. Remembering winter was coming: Character-oriented video summaries of TV series. Multimedia Tools and Applications, Springer Verlag, 2019, 78 (24), pp.35373-35399. ⟨10.1007/s11042-019-07969-4⟩. ⟨hal-02278188v2⟩
  • Vincent Labatut. Continuous Average Straightness in Spatial Graphs. Journal of Complex Networks, Oxford University Press, 2018, 6 (2), pp.269-296. ⟨10.1093/comnet/cnx033⟩. ⟨hal-01571212v2⟩
  • Günce Keziban Orman, Vincent Labatut, Ahmet Teoman Naskali. Exploring the Evolution of Node Neighborhoods in Dynamic Networks. Physica A: Statistical Mechanics and its Applications, Elsevier, 2017, 482, pp.375-391. ⟨10.1016/j.physa.2017.04.084⟩. ⟨hal-01512952v2⟩
  • Alexandre Reiffers-Masson, Vincent Labatut. Opinion-Based Centrality in Multiplex Networks: A Convex Optimization Approach. Network Science, Cambridge Journals, 2017, 5 (2), pp.213-234. ⟨10.1017/nws.2017.7⟩. ⟨hal-01486629v3⟩
  • Vincent Labatut, Rosa Figueiredo. Introduction to the special issue on Graphs & Social Systems. Journal of Interdisciplinary Methodologies and Issues in Science, Journal of Interdisciplinary Methodologies and Issues in Science, 2017, Graphs & Social Systems, Graphs and social systems, pp.0. ⟨10.18713/JIMIS-300617-2-0⟩. ⟨hal-01560655⟩
  • Jean-Valère Cossu, Vincent Labatut, Nicolas Dugué. A Review of Features for the Discrimination of Twitter Users: Application to the Prediction of Offline Influence. Social Network Analysis and Mining, Springer, 2016, 6 (1), pp.25. ⟨10.1007/s13278-016-0329-x⟩. ⟨hal-01203171v3⟩
  • Vincent Labatut. Generalized Measures for the Evaluation of Community Detection Methods. International Journal of Social Network Analysis and Mining (SNAM), 2015, 2 (1), pp.44-63. ⟨10.1504/IJSNM.2015.069776⟩. ⟨hal-00802923v2⟩
  • Didier Josselin, Sonia Chekir, Alain Pasquet, Vincent Labatut, Yvan Capowiez, et al.. Modélisation, simulation et analyse de propriétés de réseaux orbitèles. Revue Internationale de Géomatique, Lavoisier, 2015, 25 (4), pp.515-536. ⟨10.3166/RIG.25.515-536⟩. ⟨hal-01249881⟩
  • Nicolas Dugué, Vincent Labatut, Anthony Perez. A community role approach to assess social capitalists visibility in the Twitter network. Social Network Analysis and Mining, Springer, 2015, 5, pp.26:1-26-13. ⟨10.1007/s13278-015-0266-0⟩. ⟨hal-01163741⟩
  • Günce Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut. Interpreting communities based on the evolution of a dynamic attributed network. Social Network Analysis and Mining, Springer, 2015, 5, pp.20. ⟨10.1007/s13278-015-0262-4⟩. ⟨hal-01163778⟩
  • Günce Keziban Orman, Vincent Labatut, Hocine Cherifi. Towards realistic artificial benchmark for community detection algorithms evaluation. International Journal of Web Based Communities, Inderscience, 2013, 9 (3), pp.349-370. ⟨10.1504/IJWBC.2013.054908⟩. ⟨hal-00840261⟩
  • Günce Keziban Orman, Vincent Labatut, Hocine Cherifi. Comparative Evaluation of Community Detection Algorithms: A Topological Approach. Journal of Statistical Mechanics: Theory and Experiment, IOP Publishing, 2012, 2012 (08), pp.P08001. ⟨10.1088/1742-5468/2012/08/P08001⟩. ⟨hal-00710659⟩
  • Vincent Labatut, Hocine Cherifi. EVALUATION OF PERFORMANCE MEASURES FOR CLASSIFIERS COMPARISON. Ubiquitous Computing and Communication Journal , Ubicc Journal, 2011, 6, pp.21, 34. ⟨hal-00653071⟩
  • Günce Orman, Vincent Labatut, Hocine Cherifi. On Accuracy of Community Structure Discovery Algorithms. Journal of Convergence Information Technology, Advanced Institute of Convergence Information Technology Research Center, 2011, 6 (11), pp.283, 292. ⟨hal-00653084⟩
  • Vincent Labatut, Josette Pastor, Serge Ruff, Jean-François Démonet, Pierre Celsis. Cerebral modeling and dynamic Bayesian networks. Artificial Intelligence in Medicine, Elsevier, 2004, 30 (2), pp.119-139. ⟨10.1016/S0933-3657(03)00042-3⟩. ⟨hal-00634307⟩

Conference papers57 documents

  • Arthur Amalvy, Vincent Labatut, Richard Dufour. BERT meets d'Artagnan: Data Augmentation for Robust Character Detection in Novels. Workshop on Computational Methods in the Humanities (COMHUM), Jun 2022, Lausanne, Switzerland. ⟨hal-03617722⟩
  • Arthur Amalvy, Vincent Labatut, Richard Dufour. Remplacement de mentions pour l'adaptation d'un corpus de reconnaissance d'entités nommées à un domaine cible. 29ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN), Jun 2022, Avignon, France. ⟨hal-03651510v2⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Multiple Partitioning of Multiplex Signed Networks. 21ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF), Société Française de Recherche Opérationnelle et d’Aide à la Décision, Feb 2020, Montpellier, France. ⟨hal-02428300⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Characterizing measures for the assessment of cluster analysis and community detection. 11ème Conférence Modèles & Analyse de Réseaux : approches mathématiques et informatiques (MARAMI), Oct 2020, Montpellier (en ligne), France. pp.4. ⟨hal-02993542⟩
  • Xavier Bost, Vincent Labatut, Georges Linares. Serial Speakers: a Dataset of TV Series. 12th International Conference on Language Resources and Evaluation (LREC 2020), May 2020, Marseille, France. pp.4256-4264. ⟨hal-02477736⟩
  • Noé Cecillon, Richard Dufour, Vincent Labatut, Georges Linares. Tuning Graph2vec with Node Labels for Abuse Detection in Online Conversations. 11ème Conférence Modèles & Analyse de Réseaux : approches mathématiques et informatiques (MARAMI), Oct 2020, Montpellier, France. ⟨hal-02993571⟩
  • Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linares. WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection. 12th International Conference on Language Resources and Evaluation (LREC 2020), May 2020, Marseille, France. pp.1375-1383. ⟨hal-02497514⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Multiple Optimal Solutions but Single Search: A Study of the Correlation Clustering Problem. 20ème congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF), Société Française de Recherche Opérationnelle et d'Aide à la Décision, Feb 2019, Le Havre, France. ⟨hal-02051683⟩
  • Adrien Gresse, Mathias Quillot, Richard Dufour, Vincent Labatut, Jean-François Bonastre. Similarity Metric Based on Siamese Neural Networks for Voice Casting. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2019, Brighton, United Kingdom. pp.6585-6589, ⟨10.1109/ICASSP.2019.8683178⟩. ⟨hal-02004762⟩
  • Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linarès. Abusive Language Detection in Online Conversations by Combining Content-and Graph-based Features. ICWSM International Workshop on Modeling and Mining Social-Media-Driven Complex Networks, Jun 2019, Munich, Germany. pp.8. ⟨hal-02130205⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Study of the European Parliament votes through the multiple partitioning of signed multiplex networks. 29th European Conference On Operational Research (EURO), Jul 2018, Valencia, Spain. ⟨hal-01939888⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Exploiting Antagonistic Relations in Signed Graphs under the Structural Balance Hypothesis. PGMO Days, Dec 2018, Paris, France. ⟨hal-01939893⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Analysis of Roll-Calls in the European Parliament by Multiple Partitioning of Multiplex Signed Networks. 9ème Conférence Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques (MARAMI 2018), Oct 2018, Avignon, France. ⟨hal-01933679⟩
  • Adrien Gresse, Richard Dufour, Vincent Labatut, Mickael Rouvier, Jean-François Bonastre. Mesure de similarité fondée sur des réseaux de neurones siamois pour le doublage de voix. XXXIIèmes Journées d’Études sur la Parole (JEP), Jun 2018, Aix-en-Provence, France. ⟨10.21437/JEP.2018-2⟩. ⟨hal-01819198⟩
  • Mathias Quillot, Cassandre Ollivier, Richard Dufour, Vincent Labatut. Exploiting Antagonistic Relations in Signed Graphs under the Structural Balance Hypothesis. PGMO Days, Dec 2018, Paris, France. ⟨hal-01580578⟩
  • Vincent Labatut, Guillaume Marrel. La visibilité politique en ligne : Contribution à la mesure de l’e-reputation politique d’un maire urbain. Big Data et visibilité en ligne - Un enjeu pluridisciplinaire de l’économie numérique, Nov 2017, Fort de France, France. ⟨hal-01904352⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Signed Graph Analysis for the Interpretation of Voting Behavior. International Conference on Knowledge Technologies and Data-driven Business (i-KNOW), Oct 2017, Graz, Austria. ⟨hal-01583133v3⟩
  • Adrien Gresse, Mickael Rouvier, Richard Dufour, Vincent Labatut, Jean-Francois Bonastre. Acoustic Pairing of Original and Dubbed Voices in the Context of Video Game Localization. Interspeech, Aug 2017, Stockholm, Sweden. pp.2839-2843, ⟨10.21437/Interspeech.2017-1311⟩. ⟨hal-01572151⟩
  • Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linares. Impact Of Content Features For Automatic Online Abuse Detection. International Conference on Computational Linguistics and Intelligent Text Processing, Apr 2017, Budapest, Hungary. pp.404-419, ⟨10.1007/978-3-319-77116-8_30⟩. ⟨hal-01505502⟩
  • Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linares. Detection of abusive messages in an on-line community. 14ème Conférence en Recherche d'Information et Applications (CORIA), Mar 2017, Marseille, France. pp.153-168, ⟨10.24348/coria.2017.16⟩. ⟨hal-01505017⟩
  • Etienne Papegnies, Richard Dufour, Vincent Labatut, Georges Linarès. Détection de messages abusifs au moyen de réseaux conversationnels. 8ème Conférence Modèles et Analyse des Réseaux : Approches Mathématiques et Informatiques (MARAMI), Oct 2017, La Rochelle, France. ⟨hal-01614279⟩
  • Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linares. Graph-based Features for Automatic Online Abuse Detection. 5th International Conference on Statistical Language and Speech Processing, Oct 2017, Le Mans, France. pp.70-81, ⟨10.1007/978-3-319-68456-7_6⟩. ⟨hal-01571639⟩
  • Xavier Bost, Vincent Labatut, Serigne Gueye, Georges Linarès. Extraction de réseaux dynamiques conversationnels par lissage narratif. 7ème Conférence Modèles & Analyse de Réseaux : approches mathématiques et informatiques (MARAMI), Oct 2016, Cergy-Pontoise, France. ⟨hal-01385215⟩
  • Xavier Bost, Vincent Labatut, Serigne Gueye, Georges Linares. Narrative Smoothing: Dynamic Conversational Network for the Analysis of TV Series Plots. DyNo: 2nd International Workshop on Dynamics in Networks, in conjunction with the 2016 IEEE/ACM International Conference ASONAM, Aug 2016, San Francisco, United States. pp.1111-1118, ⟨10.1109/ASONAM.2016.7752379⟩. ⟨hal-01276708v6⟩
  • Didier Josselin, Vincent Labatut, Dieter Mitsche. Straightness of rectilinear vs. radio-concentric networks: modeling simulation and comparison. Symposium on Simulation for Architecture and Urban Design (SimAUD), May 2016, London, United Kingdom. ⟨hal-01367824⟩
  • Guillaume Marrel, Vincent Labatut, Marc El Bèze. Le Web comme miroir du travail politique quotidien ? : Reconstituer l'écho médiatique en ligne des événements d'un agenda d'élu. 13ème Congrès de l'Association Française de Science Politique (AFSP), Association Française de Science Politique, Jun 2015, Aix-en-Provence, France. ⟨hal-01904338⟩
  • Israel Mendonça, Rosa Figueiredo, Vincent Labatut, Philippe Michelon. Relevance of Negative Links in Graph Partitioning: A Case Study Using Votes From the European Parliament. 2nd European Network Intelligence Conference (ENIC), Sep 2015, Karlskrona, Sweden. pp.122-129, ⟨10.1109/ENIC.2015.25⟩. ⟨hal-01176090v2⟩
  • Jean-Valère Cossu, Nicolas Dugué, Vincent Labatut. Detecting Real-World Influence Through Twitter. 2nd European Network Intelligence Conference (ENIC), Sep 2015, Karlskrona, Sweden. pp.83-90, ⟨10.1109/ENIC.2015.20⟩. ⟨hal-01164453v2⟩
  • Israel Mendonça, Rosa Figueiredo, Vincent Labatut, Phillipe Michelon. Informative Value of Negative Links for Graph Partitioning, with an application to European Parliament Votes. 6ème Conférence Modèles et Analyse de Réseaux : approches mathématiques et informatiques (MARAMI), 2015, Nîmes, France. ⟨hal-02055158⟩
  • Vincent Labatut. Étude de l'omniprésence des propriétés petit-monde et sans-échelle. 5ème Conférence Modèles & Analyse de Réseaux : approches mathématiques et informatiques (MARAMI), Oct 2014, Paris, France. ⟨hal-01075680⟩
  • Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut. Une méthode pour caractériser les communautés des réseaux dynamiques à attributs. 14ème Conférence Extraction et Gestion des Connaissances (EGC), Jan 2014, Rennes, France. pp.101-112. ⟨hal-00918181⟩
  • Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut. A Method for Characterizing Communities in Dynamic Attributed Complex Networks. IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), Aug 2014, Pékin, China. pp.481-484, ⟨10.1109/ASONAM.2014.6921629⟩. ⟨hal-01011913⟩
  • Nicolas Dugué, Vincent Labatut, Anthony Perez. Identifying the Community Roles of Social Capitalists in the Twitter Network. IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), Aug 2014, Pékin, China. pp.371-374, ⟨10.1109/ASONAM.2014.6921612⟩. ⟨hal-01011910v2⟩
  • Nicolas Dugué, Vincent Labatut, Anthony Perez. Identification de rôles communautaires dans des réseaux orientés appliquée à Twitter. 14ème conférence Extraction et Gestion des Connaissances, Jan 2014, Rennes, France. pp.125-130. ⟨hal-00918175⟩
  • Burcu Kantarcı, Vincent Labatut. Classification of Complex Networks Based on Topological Properties. 3rd Conference on Social Computing and its Applications, Sep 2013, Karlsruhe, Germany. pp.297-304, ⟨10.1109/CGC.2013.54⟩. ⟨hal-00940688⟩
  • Samet Atdağ, Vincent Labatut. A Comparison of Named Entity Recognition Tools Applied to Biographical Texts. 2nd International Conference on Systems and Computer Science, Aug 2013, Villeneuve d'Ascq, France. 6p. ⟨hal-00849797⟩
  • Nicolas Dugué, Vincent Labatut, Anthony Perez. Rôle communautaire des capitalistes sociaux dans Twitter. 4ème Conférence sur les modèles et l'analyse de réseaux : approches mathématiques et informatiques (MARAMI), Oct 2013, Saint-Étienne, France. pp.12. ⟨hal-00859779⟩
  • Vincent Labatut, Ozgovde Atay. Topological measures for the analysis of wireless sensor networks. 3rd International Conference on Ambient Systems (ANT), Networks and Technologies, 2012, Niagara Falls, Canada. pp.397-404, ⟨10.1016/j.procs.2012.06.052⟩. ⟨hal-00723724⟩
  • Vincent Labatut. Une nouvelle mesure pour l'évaluation des méthodes de détection de communautés. 3ème Conférence sur les modèles et l'analyse de réseaux : approches mathématiques et informatiques (MARAMI), 2012, Paris Villetaneuse, France. 12 p. ⟨hal-00743888⟩
  • Günce Orman, Vincent Labatut, Hocine Cherifi. An Empirical Study of the Relation Between Community Structure and Transitivity. 3rd Workshop on Complex Networks, Mar 2012, Melbourne, Florida, United States. pp.99-110, ⟨10.1007/978-3-642-30287-9_11⟩. ⟨hal-00717707⟩
  • Chantal Cherifi, Vincent Labatut, Jean-François Santucci. On Flexible Web Services Composition Networks.. The International Conference on Digital Information and Communication Technology and its Applications DICTAP 2011, Jun 2011, Dijon, France. pp.45-59, ⟨10.1007/978-3-642-21984-9_5⟩. ⟨hal-00620565⟩
  • Cihan Aksoy, Vincent Labatut, Chantal Cherifi, Jean-François Santucci. MATAWS: A Multimodal Approach for Automatic WS Semantic Annotation. Third International Conference on Networked Digital Technologies, Jul 2011, Macau, China. pp.319-333, ⟨10.1007/978-3-642-22185-9_27⟩. ⟨hal-00620566⟩
  • Günce Orman, Vincent Labatut, Hocine Cherifi. Qualitative Comparison of Community Detection Algorithms. DICTAP 2011, The International Conference on Digital Information and Communication Technology and its Applications, Jun 2011, Dijon, France. pp.265-279, ⟨10.1007/978-3-642-22027-2_23⟩. ⟨hal-00611385⟩
  • Vincent Labatut, Hocine Cherifi. Accuracy Measures for the Comparison of Classifiers. The 5th International Conference on Information Technology, May 2011, amman, Jordan. pp.1,5. ⟨hal-00611319⟩
  • Keziban Gunce, Vincent Labatut, Hocine Cherifi. Relation entre transitivité et structure de communauté dans les réseaux complexes. 2ème Journée thématique Fouille de Grands Graphes (JFGG), Oct 2011, Grenoble, France. ⟨hal-01112256⟩
  • Chantal Cherifi, Vincent Labatut, Jean-François Santucci. Benefits of Semantics on Web Service Composition from a Complex Network Perspective.. Second International Conference on Networked Digital Technologies, Jul 2010, Prague, Czech Republic. pp.80-90, ⟨10.1007/978-3-642-14306-9_9⟩. ⟨hal-00620559⟩
  • Chantal Cherifi, Vincent Labatut, Jean-François Santucci. Web Services Dependency Networks Analysis. International Conference of New Media and Interactivity, Apr 2010, Istanbul, Turkey. pp.115-120. ⟨hal-00620541⟩
  • Günce Orman, Vincent Labatut. The Effect of Network Realism on Community Detection Algorithms. International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2010, Odense, Denmark. pp.301-305, ⟨10.1109/ASONAM.2010.70⟩. ⟨hal-00633641⟩
  • 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. International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2010, Odense, Denmark. pp.25-32, ⟨10.1109/ASONAM.2010.15⟩. ⟨hal-00633643⟩
  • Baris Aksoy, Vincent Labatut, Egi Murat, Tamer Ozyigit, Petar Denoble, et al.. Association Rules of DCI Patient Clusters and Reliability of Clustering Analysis. International Conference on Diving Hyperbaric Medicine, 2009, Aberdeen, United Kingdom. pp.58. ⟨hal-00633616⟩
  • Günce Orman, Vincent Labatut. Relative Evaluation of Partition Algorithms for Complex Networks. 1st International Conference on Networked Digital Technologies (NDT), 2009, Ostrava, Czech Republic. pp.20-25, ⟨10.1109/NDT.2009.5272078⟩. ⟨hal-00633624⟩
  • Günce Keziban Orman, Vincent Labatut. A Comparison of Community Detection Algorithms on Artificial Networks. International Conference on Discovery Science, Oct 2009, Porto, Portugal. pp.242-256, ⟨10.1007/978-3-642-04747-3_20⟩. ⟨hal-00633640v2⟩
  • Vincent Labatut, Josette Pastor. Dynamic Bayesian Networks for Integrated Neural Computation. 1st International IEEE-EMBS Conference on Neural Engineering, 2003, Capri, Italy. pp.537-540, ⟨10.1109/CNE.2003.1196882⟩. ⟨hal-00634305⟩
  • Vincent Labatut, Josette Pastor, Serge Ruff. Dynamic Bayesian modeling of the cerebral activity. 18th International Joint Conference on Artificial Intelligence (IJCAI), 2003, Acapulco, Mexico. pp.169-174. ⟨hal-00634306⟩
  • Vincent Labatut, Josette Pastor. Modeling the cerebral activity with dynamic probabilistic networks. 5th International Conference on Simulations in Biomedicine, 2003, Ljubljana, Slovenia. pp.459-468, ⟨10.2495/BIO030451⟩. ⟨hal-00634299⟩
  • Vincent Labatut, Josette Pastor, Serge Ruff. Le cerveau humain : un réseau causal fonctionnel ?. 1er Colloque des doctorants de l’École Doctorale Informatique et Télécommunications (EDIT), Université Paul Sabatier - Toulouse III, 2002, Toulouse, France. pp.34-39. ⟨hal-01176101⟩
  • Vincent Labatut, Josette Pastor. Bayesian Modeling of Cerebral Information Processing. Bayesian Models in Medicine Workshop / 8th European conference on Artificial Intelligence in Medicine (AIME), 2001, Cascais, Portugal. pp.5. ⟨hal-00634303⟩

Poster communications2 documents

  • Josette Pastor, Vincent Labatut, Marc Lafon, Pierre Celsis. Modèles intégrés du traitement de l’information cérébrale. Journées INSERM Midi-Pyrénées, 2001, Toulouse, France. 2001. ⟨hal-01176104⟩
  • Josette Pastor, Vincent Labatut, Marc Lafon, Pierre Celsis. Modèles Intégrés du Traitement de l’Information Cérébrale. 10èmes Journées Neurosciences & Sciences de l’Ingénieur (NSI), 2000, Dinar, France. 2000. ⟨hal-01176094⟩

Book sections6 documents

  • Guillaume Marrel, Vincent Labatut. La visibilité politique en ligne de la maire de Paris : Contribution à la mesure de l’écho Web-médiatique d’Anne Hidalgo. Christophe Alcantara; Francine Charest; Serge Agostinelli. Big Data et visibilité en ligne : Un enjeu pluridisciplinaire de l'économie numérique, Presses des Mines, pp.271-286, 2018. ⟨hal-03173422⟩
  • Xavier Bost, Vincent Labatut, Serigne Gueye, Georges Linarès. Extraction and Analysis of Dynamic Conversational Networks from TV Series. Mehmet Kaya; Jalal Kawash; Suheil Khoury; Min-Yuh Day. Social Network Based Big Data Analysis and Applications, Springer, pp.55-84, 2018, Lecture Notes in Social Networks, 978-3-319-78195-2. ⟨10.1007/978-3-319-78196-9_3⟩. ⟨hal-01543938v3⟩
  • Vincent Labatut, Günce Keziban Orman. Community Structure Characterization. Encyclopedia of Social Network Analysis and Mining, 2nd Edition, Springer, 2017, ⟨10.1007/978-1-4614-7163-9_110151-1⟩. ⟨hal-01525440v2⟩
  • 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, Springer, pp.303-330, 2013, Lecture Notes in Social Networks, ⟨10.1007/978-3-7091-1346-2_13⟩. ⟨hal-00633650⟩
  • Vincent Labatut, Jean-Michel Balasque. Detection and Interpretation of Communities in Complex Networks: Methods and Practical Application. Computational Social Networks: Tools, Perspectives and Applications, Springer, pp.81-113, 2012, ⟨10.1007/978-1-4471-4048-1_4⟩. ⟨hal-00633653v3⟩
  • Chantal Cherifi, Vincent Labatut, Jean-François Santucci. Topological Properties of Web Services Similarity Networks. Sarrafzadeh, M., Petratos, P. Strategic Advantage of Computing Information Systems in Enterprise Management, ATINER, pp.105-117, 2010. ⟨hal-00620552⟩

Reports6 documents

  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. 2-Edge Connected Balanced Subgraphs for Correlation Clustering Problem. [Research Report] Avignon Université. 2020. ⟨hal-02428305⟩
  • Vincent Labatut, Noémie Févrat, Guillaume Marrel. BRÉF – Base de données Révisée des Élu·es de France. [Rapport Technique] Avignon Université; Agorantic FR 3621; Laboratoire Informatique d'Avignon EA 4128; Laboratoire Biens Normes et Contrats EA 3788. 2020. ⟨hal-02886580⟩
  • Vincent Labatut. Improved Named Entity Recognition Through SVM-Based Combination. [Research Report] Galatasaray University, Computer Science Department. 2013. ⟨hal-01322867⟩
  • Cihan Aksoy, Vincent Labatut. A Fully Automatic Approach to the Semantic Annotation of Web Service Descriptions. [Research Report] Galatasaray University, Computer Science Department. 2012. ⟨hal-01112241⟩
  • Günce Keziban, Vincent Labatut. A Modification to Improve the Realism of Networks Generated with the LFR Model. [Research Report] TR201002121, Université Galatasaray. 2010. ⟨hal-01863318⟩
  • Jean-Michel Balasque, Vincent Labatut. Valeur informative supplémentaire apportée par l'analyse des réseaux sociaux : Premiers enseignements d'une étude au sein d'une population étudiante. [Rapport de recherche] TR200912031, Université Galatasaray. 2010. ⟨hal-01863315⟩

Theses1 document

  • Vincent Labatut. Réseaux causaux probabilistes à grande échelle : un nouveau formalisme pour la modélisation du traitement de l'information cérébrale. Intelligence artificielle [cs.AI]. Université Paul Sabatier - Toulouse III, 2003. Français. ⟨tel-00005190⟩

Habilitation à diriger des recherches1 document

  • Vincent Labatut. Combining Heterogeneous Information: Contributions to the Extraction and Analysis of Feature-Rich Complex Networks. Social and Information Networks [cs.SI]. Université d'Avignon, 2021. ⟨tel-03264989v3⟩

Lectures3 documents

  • Damien Berthet, Vincent Labatut. Algorithmique & programmation en langage C - vol.2 : Sujets de travaux pratiques. Licence. Algorithmique et Programmation, Istanbul, Turquie. 2014, pp.258. ⟨cel-01176120⟩
  • Damien Berthet, Vincent Labatut. Algorithmique & programmation en langage C - vol.1 : Supports de cours Volume 1 Période 2005-2014. Licence. Algorithmique et Programmation, Istanbul, Turquie. 2014, pp.232. ⟨cel-01176119v2⟩
  • Damien Berthet, Vincent Labatut. Algorithmique & programmation en langage C - vol.3 : Corrigés de travaux pratiques. Licence. Algorithmique et Programmation, Istanbul, Turquie. 2014, pp.217. ⟨cel-01176121⟩

Software14 documents