Julien Velcin

Orcid: 0000-0002-2262-045X

According to our database1, Julien Velcin authored at least 98 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Capturing Style in Author and Document Representation.
CoRR, 2024

An Exemplars-Based Approach for Explainable Clustering: Complexity and Efficient Approximation Algorithms.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

When Quantization Affects Confidence of Large Language Models?
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Building Brownian Bridges to Learn Dynamic Author Representations from Texts.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023
Mini Minds: Exploring Bebeshka and Zlata Baby Models.
CoRR, 2023

Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Powered Dirichlet Process - Controlling the "Rich-Get-Richer" Assumption in Bayesian Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

The Other Side of Compression: Measuring Bias in Pruned Transformers.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks.
Proceedings of the Advances in Information Retrieval, 2023

Multivariate Powered Dirichlet-Hawkes Process.
Proceedings of the Advances in Information Retrieval, 2023

2022
Powered Dirichlet-Hawkes process: challenging textual clustering using a flexible temporal prior.
Knowl. Inf. Syst., 2022

Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms.
CoRR, 2022

Interactions in Information Spread.
CoRR, 2022

Dynamic Gaussian Embedding of Authors.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Serialized Interacting Mixed Membership Stochastic Block Model.
Proceedings of the IEEE International Conference on Data Mining, 2022

Le Processus Powered Dirichlet-Hawkes comme A Priori Flexible pour Clustering Temporel de Textes.
Proceedings of the Extraction et Gestion des Connaissances, 2022

Properties of Reddit News Topical Interactions.
Proceedings of the Complex Networks and Their Applications XI, 2022

2021
Change detection in textual classification with unexpected dynamics.
Expert Syst. Appl., 2021

Powered Dirichlet Process for Controlling the Importance of "Rich-Get-Richer" Prior Assumptions in Bayesian Clustering.
CoRR, 2021

Information Interactions in Outcome Prediction: Quantification and Interpretation using Stochastic Block Models.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Information Interaction Profile of Choice Adoption.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior.
Proceedings of the IEEE International Conference on Data Mining, 2021

Apprentissage Conjoint de Représentations d'Auteurs et de Documents.
Proceedings of the Extraction et Gestion des Connaissances, 2021

Writing Style Author Embedding Evaluation.
Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021

Monitoring geometrical properties of word embeddings for detecting the emergence of new topics.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Behavioral differences: insights, explanations and comparisons of French and US Twitter usage during elections.
Soc. Netw. Anal. Min., 2020

Interactions in information spread: quantification and interpretation using stochastic block models.
CoRR, 2020

Gaussian Embedding of Linked Documents from a Pretrained Semantic Space.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Document Network Projection in Pretrained Word Embedding Space.
Proceedings of the Advances in Information Retrieval, 2020

Inductive Document Network Embedding with Topic-Word Attention.
Proceedings of the Advances in Information Retrieval, 2020

New Datasets and a Benchmark of Document Network Embedding Methods for Scientific Expert Finding.
Proceedings of the 10th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 42nd European Conference on Information Retrieval, 2020

2019
Link Prediction with Mutual Attention for Text-Attributed Networks.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Global Vectors for Node Representations.
Proceedings of the World Wide Web Conference, 2019

How to Detect Novelty in Textual Data Streams? A Comparative Study of Existing Methods.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019

Weaving Information Propagation: Modeling the Way Information Spreads in Document Collections.
Proceedings of the Advances in Artificial Intelligence, 2019

2018
Peerus Review: a tool for scientific experts finding.
CoRR, 2018

Impact of the Query Set on the Evaluation of Expert Finding Systems.
Proceedings of the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018) co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

United We Stand: Using Multiple Strategies for Topic Labeling.
Proceedings of the Natural Language Processing and Information Systems, 2018

Readitopics: Make Your Topic Models Readable via Labeling and Browsing.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Extraction de chaînes cohérentes en vue de reconstuire la Trajectoire de l'information.
Proceedings of the Extraction et Gestion des Connaissances, 2018

Utilisation de techniques de modélisation thématiques pour la détection de nouveauté dans des flux de données textuelles.
Proceedings of the Extraction et Gestion des Connaissances, 2018

Peerus Review: Un outil de recherche d'experts scientifiques.
Proceedings of the Extraction et Gestion des Connaissances, 2018

Fast and Simple Deterministic Seeding of KMeans for Text Document Clustering.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2018

2017
Role detection in online forums based on growth models for trees.
Soc. Netw. Anal. Min., 2017

Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models.
Comput. Stat., 2017

Détection automatique de métaphores dans des textes de Géographie : une étude prospective (Automatic detection of metaphors in Geographical research papers : a prospective study).
Proceedings of the Actes des 24ème Conférence sur le Traitement Automatique des Langues Naturelles. Orléans, France, June 26-30, 2017, Volume 2, 2017

Retour d'expérience sur la détection automatique de métaphores dans des textes de Géographie.
Proceedings of the Actes des 13èmes journées francophones sur les Entrepôts de Données et l'Analyse en Ligne, 2017

2016
ClusPath: a temporal-driven clustering to infer typical evolution paths.
Data Min. Knowl. Discov., 2016

Shallow Text Clustering Does Not Mean Weak Topics: How Topic Identification Can Leverage Bigram Features.
Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing, 2016

ECSTRA-INSERM @ CLEF eHealth2016-task 2: ICD10 Code Extraction from Death Certificates.
Proceedings of the Working Notes of CLEF 2016, 2016

Supervised Topic Models for Diagnosis Code Assignment to Discharge Summaries.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

A Scalable Document-Based Architecture for Text Analysis.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015
Semantic-enriched visual vocabulary construction in a weakly supervised context.
Intell. Data Anal., 2015

Sentiment analysis on social media for stock movement prediction.
Expert Syst. Appl., 2015

CommentWatcher: An Open Source Web-based platform for analyzing discussions on web forums.
CoRR, 2015

Opinion mining from twitter data using evolutionary multinomial mixture models.
CoRR, 2015

A Comparative Study of Clustering Methods with Multinomial Distribution.
CoRR, 2015

Etude de l'image de marque d'entités dans le cadre d'une plateforme de veille sur le Web social.
Proceedings of the Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles. Démonstrations, 2015

Automatic Language Identification for Romance Languages Using Stop Words and Diacritics.
Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015

A joint model for topic-sentiment modeling from text.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Analyse et visualisation d'opinions dans un cadre de veille sur leWeb.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering.
Proceedings of the Advances in Information Retrieval, 2015

2014
Data Science and Decision Support at ERIC.
SIGMOD Rec., 2014

Analyser l'image de marque d'entités sur le web. Revue du projet ImagiWeb.
Ingénierie des Systèmes d Inf., 2014

How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions.
Int. J. Artif. Intell. Tools, 2014

Investigating the Image of Entities in Social Media: Dataset Design and First Results.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

A Joint Model for Topic-Sentiment Evolution over Time.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Unsupervised feature construction for improving data representation and semantics.
J. Intell. Inf. Syst., 2013

Analyse des rôles dans les communautés virtuelles : définitions et premières expérimentations sur IMDb.
CoRR, 2013

AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

Analyse des réclamations d'allocataires de la CAF : un cas d'étude en fouille de données.
Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

Une nouvelle mesure pour l'évaluation des méthodes d'extraction de thématiques : la Vraisemblance Généralisée.
Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

Overview and Preliminary Results for a Opinions Summarizarion Method.
Proceedings of the 19th International Conference on Control Systems and Computer Science, 2013

2012
Roles in social networks: Methodologies and research issues.
Web Intell. Agent Syst., 2012

Structuring Typical Evolutions Using Temporal-Driven Constrained Clustering.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Tagging Choreographic Data for Data Mining and Classification.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Extracting Celebrities from Online Discussions.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Privacy Preserving Aggregation of Secret Classifiers.
Trans. Data Priv., 2011

Concept-Based Topic Model Improvement.
Proceedings of the Emerging Intelligent Technologies in Industry, 2011

Extracting Social Networks Enriched by Using Text.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Improving Topic Evaluation Using Conceptual Knowledge.
Proceedings of the IJCAI 2011, 2011

Extracting Social Networks to Understand Interaction.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

2010
PROG: A Complementary Model to the Social Networks for Mining Forums.
Proceedings of the From Sociology to Computing in Social Networks - Theory, 2010

Quadratic Error Minimization in a Distributed Environment with Privacy Preserving.
Proceedings of the Privacy and Security Issues in Data Mining and Machine Learning, 2010

Regrouper les données textuelles et nommer les groupes à l'aide de classes recouvrantes.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2009
A combination of opinion mining and social network techniques for discussion analysis.
Proceedings of the Fouille de Données d'Opinions, 2009

Definition and Measures of an Opinion Model for Mining Forums.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

A Content-Oriented Framework for Online Discussion Analysis.
Proceedings of the 23rd International Conference on Advanced Information Networking and Applications, 2009

2008
Word Clustering with Validity Indices.
Proceedings of the Advances in Artificial Intelligence , 2008

2007
Default Clustering with Conceptual Structures.
J. Data Semant., 2007

A Tabu-based Approach for Topic Extraction.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Logiciel d'aide à l'évaluation des catégorisations.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Topic Extraction with AGAPE.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2005
Stereotype Extraction with Default Clustering.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Default Clustering from Sparse Data Sets.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004
Clustering of Conceptual Graphs with Sparse Data.
Proceedings of the Conceptual Structures at Work: 12th International Conference on Conceptual Structures, 2004

Modeling Default Induction with Conceptual Structures.
Proceedings of the Conceptual Modeling, 2004


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