Julien Velcin Home Page

Publications (international scope)

Gaussian Embedding of Linked Documents from a Pretrained Semantic Space by Antoine Gourru, Julien Velcin and J. Jacques. Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020. Code available
New Datasets and a Benchmark of Document Network Embedding Methods for Scientific Expert Finding by R. Brochier, A. Gourru, A. Guille and J. Velcin. Proceedings of the 10th International Workshop on Bibliometric-enhanced Information Retrieval (BIR) co-located with 42nd European Conference on Information Retrieval.
Behavioral differences: insights, explanations and comparisons of French and US Twitter usage during elections by Ian Davidson, Antoine Gourru, Julien Velcin and Yue Wu. Social Network Analysis and Mining (SNAM), 10: 6. https://doi.org/10.1007/s13278-019-0611-9, 2020.
Inductive Document Network Embedding with Topic-Word Attention by R. Brochier, A. Guille and J. Velcin. Proceedings of the 42nd European Conference on IR Research (ECIR), Lisbon, Portugal, 2020. Code available
Document Network Projection in Pretrained Word Embedding Space by A. Gourru, J. Velcin, J. Jacques and A. Guille. Proceedings of the 42nd European Conference on IR Research (ECIR), Lisbon, Portugal, 2020. The presentation is available on Youtube. Code available
How to detect novelty in textual data streams? A comparative study of existing methods by C. Christophe, J. Velcin, J. Cugliari, P. Suignard and M. Boumghar. Proceedings of the 4th Workshop on Advanced Analytics and Learning on Temporal Data (AALTD), 110-125, colocated with ECML-PKDD 2019, Würzburg, Germany.
Weaving Information Propagation: Modeling The Way Information Spreads In Document Collections by C. Huyghues-Despointes, L. Khouas, J. Velcin, and S. Loudcher. Proceedings of the 32nd Canadian Conference on Artificial Intelligence (Canadian AI), May 28-31, Kingston, Canada, 2019.
Link Prediction with Mutual Attention for Text-Attributed Networks by R. Brochier, A. Guille and J. Velcin. Proceedings of the International Workshop on Deep Learning for Graphs and Structured Data Embedding, colocated with WWW (Companion Volume), May 13–17, 2019, San Francisco, CA, USA.
Global Vectors for Node Representation by R. Brochier, A. Guille and J. Velcin. Proceedings of the International World Wide Web Conference (WWW), May 13–17, 2019, San Francisco, CA, USA. Code available
Impact of the Query Set on the Evaluation of Expert Finding Systems by R. Brochier, A. Guille, B. Rothan and J. Velcin. Proceedings of the 3rd Workshop BIRNDL, pp. 32-45, colocated with SIGIR 2018, Ann Arbor, USA.
Fast and Simple Deterministic Seeding of KMeans for Text Document Clustering by E. Sherkat, J. Velcin and E. Milios. Proceedings of the 9th Conference and Labs of the Evaluation Forum (CLEF 2018), pp.76-88, Avignon, France. Code available
Readitopics: Make Your Topic Models Readable via Labeling and Browsing by J. Velcin, A. Gourru, E. Giry-Fouquet, C. Gravier, M. Roche and P. Poncelet. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018, demo track), pp.5874-5876, Stockholm, Sweden. Code available
United we stand: Using multiple strategies for topic labeling by A. Gourru, J. Velcin, M. Roche, C. Gravier and P. Poncelet. Proceedings of the 23rd International Conference on Natural Language & Information Systems (NLDB), pp.352-363, France, 2018.
Role detection in online forums based on growth models for trees by A. Lumbreras, B. Jouve, J. Velcin and M. Guégan. Social Network Analysis and Mining (SNAM), 7(1): 49:1-49:13, Springer, 2017.
Evolutionary clustering for categorical data using parametric links among multinomial mixture models by M.A. Hasnat, J. Velcin, S. Bonnevay and J. Jacques. Econometrics and Statistics, vol.3: pp.141-159, Elsevier, 2017.
Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models by A. Lumbreras, J. Velcin, M. Guégan, B. Jouve. Computational Statistics, 32(1): pp.145-177, Springer, 2017.
A Scalable Document-based Architecture for Text Analysis by C.P. Truica, J. Darmont, J. Velcin. Proceedings of the International Conference on Advanced Data Mining and Applications (ADMA), pp.481-494, Australia, 2016.
Shallow Text Clustering Does Not Mean Weak Topics: How Topic Identification Can Leverage Bigram Features by J. Velcin, M. Roche, P. Poncelet. Proceedings of DMNLP@PKDD/ECML, Italy, 2016: pp.25-32.
ECSTRA-INSERM @ CLEF eHealth2016-task 2: ICD10 Code Extraction from Death Certificates by M. Dermouche, V. Looten, R. Flicoteaux, S. Chevret, J. Velcin, N. Taright. CLEF (Working Notes), 2016: pp.61-68.
Supervised Topic Models for Diagnosis Code Assignment to Discharge Summaries by M. Dermouche, J. Velcin, R. Flicoteaux, S. Chevret and N. Taright. Proceedings of the 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING), Konya, Turkey, 2016.
ClusPath: A Temporal-driven Clustering to Infer Typical Evolution Paths by M.A. Rizoiu, J. Velcin, S. Bonnevay and S. Lallich. Data Mining and Knowledge Discovery (DMKD), 30(5): pp.1324-1349, Springer, 2016. Code available
Sentiment Analysis on Social Media for Stock Movement Prediction by T.H. Nguyen, K. Shirai and J. Velcin. Expert Systems with Applications (ESWA), Elsevier, vol.42 (24), Dec. 2015.
Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study by M.A. Hasnat, J. Velcin, S. Bonnevay and J. Jacques. Proceedings of the 14th International Symposium on Intelligent Data Analysis (IDA), regular poster. St-Etienne, France, 2015.
Automatic Language Identification for Romance Languages using Stop Words and Diacritics, by C.O. Truică, J. Velcin and A. Boicea. Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), Romania, 2015.
A Joint Model for Topic-Sentiment Modeling from Text by M. Dermouche, L. Khouas, J. Velcin, S. Loucher. Proceedings of the 30th ACM/SIGAPP Symposium On Applied Computing (SAC), datamining track. Salamanca, Spain, 2015.
Temporal Multinomial Mixture for Instance-oriented Evolutionary Clustering by Y. M. Kim, J. Velcin, S. Bonnevay, M. A. Rizoiu. Proceedings of the European Conference on Information Retrieval (ECIR). Vienna, Austria, 2015.
Semantic-enriched Visual Vocabulary Construction in a Weakly Supervised Context by M. A. Rizoiu, J. Velcin, S. Lallich. Intelligent Data Analysis (IDA), vol. 19 (1), pp.161-185. IOS Press, 2015.
Data Science and Decision Support at ERIC by F. Bentayeb, J. Velcin, S. Bonnevay, J. Darmont. SIGMOD Record, December 2014, pp.37-42 (Vol. 43, No. 4).
A Joint Model for Topic-Sentiment Evolution over Time by M. Dermouche, J. Velcin, S. Loudcher, L. Khouas. Proceedings of the IEEE International Conference on Data Mining (ICDM), pp.773-778. Shenzhen, China, 2014 (short paper).
How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions by M. A. Rizoiu, J. Velcin, S. Lallich. International Journal on Artificial Intelligence Tools (IJAIT), vol. 23 (4), 2014.
Early Stage Conversation Catalysts on Entertainment-Based Web Forums by J. Lanagan, N. Anokhin, J. Velcin. State of the Art Applications of Social Network Analysis. Can, Fazli, Özyer, Tansel, Polat, Faruk (Eds.). ISBN 978-3-319-05912-9, Springer, pp. 97-118, 2014.
Investigating the Image of Entities in Social Media: Dataset Design and First Results by J. Velcin, Y.M. Kim, C. Brun, J.Y. Dormagen, E. SanJuan, L. Khouas, A. Peradotto, S. Bonnevay, C. Roux, J. Boyadjian, A. Molina and M. Neihouser. Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC), pp.818-822. Reykjavik, Iceland, 2014.
AMI&ERIC: How to Learn with Naive Bayes and Prior knowledge: an Application to Sentiment Analysis by M. Dermouche, L. Kouas, J.Velcin, S. Loudcher. In proceedings of 7th International Workshop on Semantic Evaluation (SemEval 2013), vol. 2 pp.364-368, in conjunction with NAACL 2013. Atlanta, USA,2013.
Unsupervised feature construction for improving data representation and semantics by M. A. Rizoiu, J. Velcin, S. Lallich. Journal of Intelligent Information Systems (JIIS), vol. 40 (3), pp. 501-527, Springer, 2013.
Overview and Preliminary Results for a Opinions Summarizarion Method by D.C. Cercel, S. Trausan-Matu, J. Velcin. Proceedings of the 19th International Conference on Control Systems and Computer Science (CSCS), pp.218-224. Bucharest, Romania, 2013.
Structuring typical evolutions using Temporal-Driven Constrained Clustering by M.A. Rizoiu, J. Velcin, S. Lallich. Proceedings of the 24th IEEE International Conference on Tools with Artificial Intelligence (ICTAI). Athens, Greece, 2012. Best student paper award.
Choreographic Data for Data Mining and Classification by C. Ioan, J. Velcin, S. Trausan-matu. Proceedings of the 24th IEEE International Conference on Tools with Artificial Intelligence (ICTAI). Athens, Greece, 2012.
Social Citation: Finding Roles in Social Networks. An Analysis of TV-Series Web Forums by N. Anokhin, J. Lanagan, J. Velcin. Second International Workshop on Mining Communities and People Recommenders (COMMPER), in conjunction with ECML/PKDD 2012, Bristol, UK.
Extracting Celebrities from Online Discussions by M. Forestier, J. Velcin, A. Stavrianou, D.A. Zighed. International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE Computer Society Press. Istanbul, Turkey, August 2012.
Analyzing Social Roles using Enriched Social Network on On-Line Sub-Communities by M. Forestier, J. Velcin, D. Zighed. International Conference on Digital Society (ICDS). Valencia, Spain, 2012.
Roles in Social Networks: Methodologies and Research Issues by M. Forestier, A. Stavrianou, J. Velcin, D.A. Zighed. Web Intelligence and Agent Systems: An International Journal, (WIAS), vol. 10 (1): pp. 117-133, IOS Press, 2012.
Privacy preserving aggregation of secret classifiers by G. Gavin, J. Velcin, P. Aubertin. Transactions on data privacy, vol. 4 (3), pp. 167-187, special issue of selected papers from the 1st ECML/PKDD Workshop on Privacy and Security issues in Data Mining and Machine Learning, 2011.
Improving Topic Evaluation Using Conceptual Knowledge by C. Musat, J.Velcin, M.A. Rizoiu, S. Trausan-Matu. Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI). Barcelona, Spain. July 2011.
Extracting social networks to understand interaction by M. Forestier, J. Velcin, D.A. Zighed. International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE Computer Society Press. Taiwan, July 2011.
Extracting Social Networks Enriched by Using Text by M. Forestier, J. Velcin, D.A. Zighed. International Symposium on Methodologies for Intelligent Systems (ISMIS). Poland, Warsaw. June 2011.
Concept-based Topic Model Improvement by C. Musat, J.Velcin, M.A. Rizoiu, S. Trausan-Matu. International Symposium on Methodologies for Intelligent Systems (ISMIS). Poland, Warsaw. June 2011.
Topic Extraction for Ontology Learning by M.A. Rizoiu, J. Velcin. Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances. Eds Wong W., Liu W. and Bennamoun M.. ISBN 978-1-60960-625-1. Hershey, Pennsylvania. IGI Global 2011, pp. 38-61.
Quadratic Error Minimization in a Distributed Environment with Privacy Preserving by G. Gavin, J. Velcin. Privacy and Security Issues in Data Mining and Machine Learning - International ECML/PKDD Workshop (PSDML). Revised Selected Papers. Barcelona, Spain, 2010. Springer LNCS.
PROG: A Complementary Model to the Social Networks for Mining Forums by A. Stavrianou, J. Velcin, J.H. Chauchat. From Sociology to Computing in Social Networks. ISBN 978-3-7091-0293-0. Springer-Verlag, 2010.
Definition and Measures of an Opinion Model for Mining Forums by A. Stavrianou, J. Velcin, J.H. Chauchat. International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE Computer Society Press. Athens, Greece. July 2009.
A Content-Oriented Framework for Online Discussion Analysis by A. Stavrianou, J. Velcin, J.H. Chauchat. IEEE International Symposium on Mining and Web (MAW), Bradford, UK. May 2009.
Word Clustering with Validity Indices by A. El Sayed, J. Velcin, D.A. Zighed. Proceedings of the 21st Canadian Conference on AI. Windsor, Ontario, USA (2008).
Default Clustering with Conceptual Structures by J. Velcin, J.G. Ganascia. Journal on Data Semantics VIII, LNCS 4380, Springer-verlag (2007), p. 1-25.
A Tabu-based Approach for Topic Extraction by J. Velcin, J.G. Ganascia. Proceedings of the Machine Learning and Data Mining Conference (MLDM poster), pp.41-54, Leipzig, Germany (2007).
Unsupervised Learning Informational Limit in Case of Sparsely Described Examples by J. Velcin, J.G. Ganascia. In Selected Contributions in Data Analysis and Classification, ISSN 1431-8814, Springer Berlin Heidelberg (2007), pp. 345-355.
Topic Extraction with AGAPE by J. Velcin, J.G. Ganascia. Proceedings of the International Conference on Advanced Data Mining and Applications (ADMA 2007).
Modeling Stereotype Construction with Artificial Intelligence by J. Velcin, J.G. Ganascia. Annual scientific meeting of the International Society of Political Psychology (ISPP). Portland, Oregon, USA (2007).
Stereotype Extraction with Default Clustering by J. Velcin, J.G. Ganascia. Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI). Edinburgh, Scotland (2005).
Default Clustering from Sparse Data Sets by J. Velcin, J.G. Ganascia. Proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU). Springer-Verlag. Barcelona, Spain (2005).
Modeling default induction with conceptual structures by J. Velcin, J.G. Ganascia. ER 2004 Conference Proceedings. Lu, Atzeni, Chu, Zhou, and Ling editors. Springer-Verlag. Shangai, China (2004).
Clustering of Conceptual Graphs with Sparse Data by J. Velcin, J.G. Ganascia. Proceedings of the 12th International Conference on Conceptual Structures (ICCS). Springer-Verlag. Huntsville, USA (2004).

Publications (national scope)

Tri-clustering pour données de comptage, par Margot Selosse, Antoine Gourru, Julien Jacques, Julien Velcin. Journées des Statistiques (JdS), Nancy, France, Jun 2019.
Utilisation de techniques de modélisation thématiques pour la détection de nouveauté dans des flux de données textuelles, par Clément Christophe, Julien Velcin et Manel Boumghar. Actes de la 18ème conférence internationale sur l'Extraction et la Gestion des Connaissances (EGC), p.239-250, Paris, 2018.
Extraction de chaînes cohérentes en vue de reconstuire la trajectoire de l'information, par Charles Huyghues-Despointes, Julien Velcin, Leila Khouas et Sabine Loudcher. Actes de la 18ème conférence internationale sur l'Extraction et la Gestion des Connaissances (EGC), p.317-322, Paris, 2018.
Peerus Review: Un outil de recherche d’experts scientifiques (papier démo), par Robin Brochier, Adrien Guille, Julien Velcin, Benjamin Rothan et François Di Cioccio. Actes de la 18ème conférence internationale sur l'Extraction et la Gestion des Connaissances (EGC), p.463-466, Paris, 2018.
Retour d’expérience sur la détection automatique de métaphores dans des textes de Géographie, par M. Beligné, A. Campar, J.H. Chauchat, M. Lefeuvre, I. Lefort, S. Loudcher, J. Velcin. EDA 2017: 159-160.
Détection automatique de métaphores dans des textes de Géographie : une étude prospective, par M. Beligné, A. Campar, J.H. Chauchat, M. Lefeuvre, I. Lefort, S. Loudcher et J. Velcin. Poster à la conférence TALN 2017, Orléans.
Fouille de textes pour une analyse comparée de l’information diffusée par les médias en ligne : une étude sur trois éditions du Huffington Post, par J. Velcin, J.C. Soulages, S. Kurpiel, D.L. Otavio, M. Del Vecchio et F. Aubrun. Atelier Journalisme computationnel, adossé à la conférence EGC, Grenoble, 2017.
Étude de l'image de marque d'entités dans le cadre d'une plateforme de veille sur le Web social (papier démo), par L. Khouas, C. Brun, A. Peradotto, J.V. Cossu, J. Boyadjian, J. Velcin. 22ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN), Caen, Juin 2015.
Analyse d'opinions dans un cadre de veille sur le Web (papier démo), par M. Dermouche, L. Khouas, S. Loucher, J. Velcin, E. Fourboul. Actes de la 15ème conférence internationale sur l'Extraction et la Gestion des Connaissances (EGC). Luxembourg, 2015.
Analyser l’image de marque d’entités sur le Web : revue du projet ImagiWeb, par J. Velcin, A. Peradotto, L. Khouas, J.V. Cossu, J.Y. Dormagen et C. Brun. Revue Ingénierie des Systèmes d'Information (ISI), numéro spécial sur le "big data", vol.19(3), p.159-162. Hermès, 2014.
Analyse des rôles dans les communautés virtuelles : définitions et premières expérimentations sur IMDb, par A. Lumbreras, J. Lanagan, J. Velcin et B. Jouve. Actes de la 4ème conférence sur les modèles et l’analyse des réseaux : Approches mathématiques et informatiques (MARAMI). Saint-Etienne, France, 2013.
Une nouvelle mesure pour l'évaluation des méthodes d'extraction de thématiques : la Vraisemblance Généralisée, par M. Dermouche, J. Velcin, S. Loudcher, L. Khouas. Actes de la 13ème Conférence Francophone sur l'Extraction et la Gestion des Connaissances (EGC), Toulouse, France, 2013. Nominé pour le prix du meilleur article académique.
Analyse des réclamations d'allocataires de la CAF : un cas d'étude en fouille de données, par S. Loudcher, J. Velcin, V. Forissier, C. Broilliard, P. Simonnot. Actes de la 13ème Conférence Francophone sur l'Extraction et la Gestion des Connaissances (EGC), Toulouse, France, 2013. Nominé pour le prix du meilleur article applicatif.
Regrouper les données textuelles et nommer les groupes à l'aide de classes recouvrantes par M.A. Rizoiu, J. Velcin, J.H. Chauchat. Actes des 10ème journées francophones en Extraction et Gestion des Connaissances (EGC), Hammamet, Tunisie, 2010. Nominé pour le prix du meilleur article académique.
Recommendation of key messages extracted from forums by A. Stavrianou, J. Velcin, J.H. Chauchat. Atelier Recherche et Recommandation d'information dans les Reseaux Sociaux (INFORSID-REiSO), Marseille, France, 2010.
Fouille de discussions pour l'identification de rôles sociaux par M. Forestier, J. Velcin, D.A. Zighed. Atelier Recherche et Recommandation d'information dans les Reseaux Sociaux (INFORSID-REiSO), Marseille, France, 2010.
A combination of opinion mining and social network techniques for discussion analysis by A. Stavrianou, J. Velcin, J.H. Chauchat. Revue des Nouvelles Technologies de l'Information (RNTI), Cepadues 2009.
Un cadre pour la représentation et l'analyse de débats sur le Web par A. Stavrianou, J. Velcin, J.H. Chauchat. Atelier Veille Numérique (EGC-VN), Strasbourg, France. Janvier 2009.
Un cadre formel pour la veille numérique sur la presse en ligne par A. Stavrianou, J. Velcin, J.H. Chauchat. Atelier Veille Numérique (EGC-VN), Strasbourg, France, Janvier 2009.
Logiciel d'Aide à l'Evaluation des Catégorisations by J. Velcin, W. Vacher, J.G. Ganascia. Actes de la Conférence Extraction et Gestion des Connaissances (EGC), Namur, Belgium, 2007.
Classification par défaut à base de stéréotypes par J. Velcin. Actes de la Conférence francophone sur l'apprentissage automatique (CAp), Tregastel, France. 2006.

Publications (digital humanities / computational social sciences)

L’analyse quantitative des médias sociaux, une alternative aux enquêtes déclaratives ? La mesure de la popularité des personnalités politiques sur Twitter par Boyadjian et J. Velcin. Dossier Humanités numériques, corpus et sens coordonné par J. Longhi, Question de Communication, vol.31 p. 111-135, 2017.
Le Web politique au prisme de la science des données, numéro spécial de la revue Réseaux 204, 2017. Numéro coordonné par J. Boyadjian, A. Olivesi et J. Velcin. Ed. La Découverte.

HDR thesis

Contributions à la science des données : Fouille de données textuelles appliquée à l’analyse des médias sociaux par J. Velcin. HDR de l'Université de Lyon 2. Soutenue le 5/29/2015.

PhD thesis

Extraction automatique de stéréotypes à partir de données symboliques et lacunaires par J. Velcin. Thèse de Doctorat de l'Université de Paris 6. Soutenue le 11/30/2005.

Master thesis

Reconstruction rationnelle des mentalités collectives : deux études sur la xénophobie, par J. Velcin. Thèse de Master de l'Université de Paris 6. Soutenue le 09/11/2002.