Jean-Charles Lamirel

Orcid: 0000-0001-7461-1785

According to our database1, Jean-Charles Lamirel authored at least 77 papers between 1991 and 2023.

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Bibliography

2023
Using GANs for Domain Adaptive High Resolution Synthetic Document Generation.
Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 2023

2022
Iterative and Semi-Supervised Design of Chatbots Using Interactive Clustering.
Int. J. Data Warehous. Min., 2022

2021
Analysis of the dynamics and influence of the research work of Prof. Liu Zeyuan in China featuring a new hybrid approach combining community detection with topic tracking.
Scientometrics, 2021

Editorial preface to the Zeyuan Liu memorial issue.
Scientometrics, 2021

Evaluating clustering quality using features salience: a promising approach.
Neural Comput. Appl., 2021

SINr: Fast Computing of Sparse Interpretable Node Representations is not a Sin!
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Conception itérative et semi-supervisée d'assistants conversationnels par regroupement interactif des questions.
Proceedings of the Extraction et Gestion des Connaissances, 2021

2020
An overview of the history of Science of Science in China based on the use of bibliographic and citation data: a new method of analysis based on clustering with feature maximization and contrast graphs.
Scientometrics, 2020

Editorial.
Neural Comput. Appl., 2020

2019
When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation Patterns.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Feature Selection and Graph Representation for an Analysis of Science Fields Evolution: An Application to the Digital Library ISTEX.
Proceedings of the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2019) co-located with the 41st European Conference on Information Retrieval (ECIR 2019), 2019

2018
Automatic summarization of scientific publications using a feature selection approach.
Int. J. Digit. Libr., 2018

Bringing a Feature Selection Metric from Machine Learning to Complex Networks.
Proceedings of the Complex Networks and Their Applications VII, 2018

2017
Une métrique de sélection de variables appliquée à la centralité et à la détection des rôles communautaires.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

2016
Reliable Clustering Quality Estimation from Low to High Dimensional Data.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Diachronic'Explorer: Keep track of your clusters.
Proceedings of the Tenth IEEE International Conference on Research Challenges in Information Science, 2016

New efficient clustering quality indexes.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Reliable Clustering Indexes.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

Performing and Visualizing Temporal Analysis of Large Text Data Issued for Open Sources: Past and Future Methods.
Proceedings of the Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, 2016

2015
Optimizing text classification through efficient feature selection based on quality metric.
J. Intell. Inf. Syst., 2015

Federating clustering and cluster labelling capabilities with a single approach based on feature maximization: French verb classes identification with IGNGF neural clustering.
Neurocomputing, 2015

Feature Maximization Based Clustering Quality Evaluation: A Promising Approach.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

New Quality Indexes for Optimal Clustering Model Identification with High Dimensional Data.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

A Novel Approach to Feature Selection Based on Quality Estimation Metrics.
Proceedings of the Advances in Knowledge Discovery and Management, 2015

New Metrics and Related Statistical Approaches for Efficient Mining in Very Large and Highly Multidimensional Databases.
Proceedings of the Beyond Databases, Architectures and Structures, 2015

2014
A promising combination of approaches for solving complex text classification tasks: application to the classification of scientific papers into patents classes.
Int. J. Knowl. Learn., 2014

Une nouvelle approche pour la sélection de variables basée sur une métrique d'estimation de la qualité.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

2013
Efficient supervised and semi-supervised approaches for affiliations disambiguation.
Scientometrics, 2013

Aide à l'expertise des brevets par alignement avec les publications scientifiques.
Document Numérique, 2013

A New Feature Selection and Feature Contrasting Approach Based on Quality Metric: Application to Efficient Classification of Complex Textual Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

Dealing with highly imbalanced textual data gathered into similar classes.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Enhancing Classification Accuracy with the Help of Feature Maximization Metric.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

2012
A new approach for automatizing the analysis of research topics dynamics: application to optoelectronics research.
Scientometrics, 2012

Enhancing NLP Tasks by the Use of a Recent Neural Incremental Clustering Approach Based on Cluster Data Feature Maximization.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Combining Neural Clustering with Intelligent Labeling and Unsupervised Bayesian Reasoning in a Multiview Context for Efficient Diachronic Analysis.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Enhancing Patent Expertise through Automatic Matching with Scientific Papers.
Proceedings of the Discovery Science - 15th International Conference, 2012

Classifying French Verbs Using French and English Lexical Resources.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
A New Label Maximization Based Incremental Neural Clustering Approach: Application to Text Clustering.
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

A New Efficient and Unbiased Approach for Clustering Quality Evaluation.
Proceedings of the New Frontiers in Applied Data Mining, 2011

Variations to incremental growing neural gas algorithm based on label maximization.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Comparative Behaviour of Recent Incremental and Non-incremental Clustering Methods on Text: An Extended Study.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

2010
A New Incremental Growing Neural Gas Algorithm Based on Clusters Labeling Maximization: Application to Clustering of Heterogeneous Textual Data.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Mining Research Topics Evolving Over Time Using a Diachronic Multi-source Approach.
Proceedings of the ICDMW 2010, 2010

Metadata for WICRI, a Network of Semantic Wikis for Communities in Research and Innovation.
Proceedings of the 2010 International Conference on Dublin Core and Metadata Applications, 2010

Vers une approche systémique et multivues pour l'analyse de données et la recherche d'information : un nouveau paradigme.
, 2010

2008
Combining Advanced Visualization and Automatized Reasoning for Webometrics: A Test Study
CoRR, 2008

2007
Towards a synthetic analysis of user's information need for more effective personalized filtering services.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Using Reactive Tabu Search in Semi-supervised Classification.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

An Extended Neural Gas Model for Efficient Data Mining Tasks.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

2006
An innovative approach to intelligent information filtering.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Apprentissage neuro-symbolique pour la RI coopérative, adaptative et évolutive : le modèle multi-agents SARCI.
Proceedings of the Actes du XXIVème Congrès INFORSID, Hammamet, Tunisie, 31 mai, 2006

Extracting Informative Rules from High Dimensional Data Using a Numerical Approach.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

A Tabu Search Meta-Heuristic for Image Semi-Supervised Classification.
Proceedings of the 2006 International Conference on Geometric Modeling and Imaging, 2006

A new hyperbolic visualization method for displaying the results of a neural gas model: application to Webometrics.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Clustering Quality Measures for Data Samples with Multiple Labels.
Proceedings of the IASTED International Conference on Databases and Applications, 2006

Clustering Analysis for Data Samples with Multiple Labels.
Proceedings of the IASTED International Conference on Databases and Applications, 2006

PFC: Un outil d'aide à la découverte des contenus des documents et à la création de dossiers.
Proceedings of the CIDE.9: 9<sup>e</sup> Colloque International sur le Document Électronique, 2006

A new approach to intelligent text filtering based on novelty detection.
Proceedings of the Database Technologies 2006, 2006

2005
Knowledge Extraction from Unsupervised Multi-topographic Neural Network Models.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Novelty Detection for Modeling User's Profile.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Une nouvelle approche pour la modélisation du prol de l'utilisateur dans les systèmes de filtrage d'information basés sur le contenu: le modèle de filtre détecteur de nouveauté.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2005

2004
Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project.
Scientometrics, 2004

New classification quality estimators for analysis of documentary information: Application to patent analysis and web mapping.
Scientometrics, 2004

2003
A Hybrid Classification Method for Database Contents Analysis.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

2001
Using artificial neural networks for mapping of scienceand technology: A multi-self-organizing-maps approach.
Scientometrics, 2001

Using images for enhancing discovering task in a DL context.
Proceedings of the Storage and Retrieval for Media Databases 2001, 2001

Combining Symbolic and Numeric Techniques for DL Contents Classification and Analysis.
Proceedings of the Engineering of Intelligent Systems, 2001

2000
Topographic Combination of Images and Text for Information Discovery in a Digital Library Context.
Proceedings of the XV Simpósio Brasileiro de Banco de Dados, 2000

Some Basics of a Self Organizing Map (SOM) Extended Model for Information Discovery in a Digital Library Context.
Proceedings of the Rough Sets and Current Trends in Computing, 2000

Adaptative browsing for information discovery in an iconographic context.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 2000

A self organizing map (SOM) extended model for information discovery in a digital library context.
Proceedings of the International Workshop on Multimedia Data Mining, 2000

Integración de Colecciones Heterogéneas en Bibliotecas Digitales.
Proceedings of the I Jornadas de Bibliotecas Digitales, 2000

Combining symbolic and numeric techniques for DL contents classificationand analysis.
Proceedings of the First DELOS Network of Excellence Workshop on Information Seeking, 2000

1995
Application d'une approche symbolico-connexionniste pour la conception d'un système documentaire hautement interactif.
PhD thesis, 1995

1994
A Workbench for Bibliographic or Factual Data Handling.
Proceedings of the Information Revolution: Impact on Science and Technology. Papers from CODATA Conf. 1994, 1994

Application of a Symbolico-Connectionist Approach for the Design of a Highly Interactive Documentary Database Interrogation System with On-Line Learning Capabilities.
Proceedings of the Third International Conference on Information and Knowledge Management (CIKM'94), Gaithersburg, Maryland, USA, November 29, 1994

1991
INIST experience in hyper-document building from bibliographic databases.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications) - RIAO 1991, 3rd International Conference, Universitad Autonoma de Barcelona, Spain, April 2, 1991


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