Lamirel, Jean-Charles

Associate Professor (HDR), Université de Strasbourg (IUTRS)

Publications

2024

Conference paper

  1. Détection d’anomalies sur des documents juridiques contractuels. Ahmed Jebbari, Jean-Charles Lamirel, Bart Lamiroy, Aurelie Vallereau. In proceedings of Extraction et Gestion des Connaissances, Dijon, France. Jérôme Gensel, Christophe Cruz, Hocine Cherifi (eds). 2024.

  2. Analyse non supervisée de corpus de documents pour la recherche de sujets : une nouvelle approche basée sur le clustering et la maximisation des traits. Jean-Charles Lamirel. In proceedings of Congrès National de la Recherche des IUT, Mulhouse, France.

2023

Conference paper

  1. Using GANs for Domain Adaptive High Resolution Synthetic Document Generation. Tahani Fennir, Bart Lamiroy, Jean-Charles Lamirel. In proceedings of ICDAR Workshops, San José, United States.

2022

Journal

  1. Iterative and Semi-Supervised Design of Chatbots Using Interactive Clustering. Erwan Schild, Gautier Durantin, Jean-Charles Lamirel, Florian Miconi. International Journal of Data Warehousing and Mining (IJDWM), IGI Global.

2021

Journal

  1. Evaluating clustering quality using features salience: a promising approach. Nicolas Dugué, Jean-Charles Lamirel, Yue Chen. Neural Computing and Applications, Springer Verlag.
  2. 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. Jean-Charles Lamirel, Younes Gueddari, Yuqi Wang, Pascal Cuxac, Anthony Perez, Nicolas Dugué. Scientometrics, Springer Verlag.

Conference paper

  1. SINr: Fast Computing of Sparse Interpretable Node Representations is not a Sin!. Thibault Prouteau, Victor Connes, Nicolas Dugué, Anthony Perez, Jean-Charles Lamirel, Nathalie Camelin, Sylvain Meignier. In proceedings of Advances in Intelligent Data Analysis XIX, 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal.
  2. Concevoir un assistant conversationnel de manière itérative et semi-supervisée avec le clustering interactif. Erwan Schild, Gautier Durantin, Jean-Charles Lamirel. In proceedings of Atelier - Fouille de Textes - Text Mine 2021 - En conjonction avec EGC 2021, Montpellier / Virtual, France.
  3. Conception itérative et semi-supervisée d’assistants conversationnels par regroupement interactif des questions. Erwan Schild, Gautier Durantin, Jean-Charles Lamirel, Florian Miconi. In proceedings of EGC 2021 - 21èmes Journées Francophones Extraction et Gestion des Connaissances, Montpellier / Virtual, France.

2020

Journal

  1. Science of Science research in mainland China: 40 years of evolution. A new method of analysis based on clustering with feature maximization and contrast graphs. Jean-Charles Lamirel, Yue Chen, Pascal Cuxac, Shadi Al Shehabi, Nicolas Dugué, Zeyuan Liu. Scientometrics, Springer Verlag.
  2. Editorial of Special Issue on WSOM+ 2017. Jean-Charles Lamirel, Marie Cottrell, Madalina Olteanu, Bruno Lévy. Neural Computing and Applications, Springer Verlag.
  3. La recherche en Science de la Science en Chine continentale : 40 ans d’évolution. Une nouvelle méthode d’analyse basée sur le clustering avec maximisation des traits et graphes de contraste. Jean-Charles Lamirel, Pascal Cuxac. Revue ouverte d’ingénierie des systèmes d’information, ISTE OpenScience.

Conference paper

  1. Mining scientific publications with automated tools. Jean-Charles Lamirel. In proceedings of International Virtual Conference on “Preparedness of Library and Information Services in New Normal”, Mhow/Virtual, India.
  2. Feature maximization: a new large-scope metric especially adapted to big, noisy and complex data statistics. Jean-Charles Lamirel. In proceedings of 14th International Conference on Operations Research (ICOR 2020), La Havane, Cuba.
  3. Text Mining Methods applied to the Processing of Scientific Data. Jean-Charles Lamirel. In proceedings of 9th International Library Information Professional Summit (I-LIPS), Gwalior, India.
  4. Apport de la méthode de maximisation des traits pour la fouille de texte. Jean-Charles Lamirel. In proceedings of EGC-2020 – Workshop DL for NLP: Deep Learning pour le traitement automatique des langues, Bruxelles, Belgium.
  5. Use of Advanced AI Technique in Scientific Outputs and Communications Analysis (Part 2). Jean-Charles Lamirel. In proceedings of Invited Seminar – Faculty of Management and Economics & Scientific Association of the Department of Knowledge and Information Science, Téhéran, Iran, Islamic Republic of.
  6. Use of Advanced AI Technique in Scientific Outputs and Communications Analysis (Part1). Jean-Charles Lamirel. In proceedings of Invited Seminar – Faculty of Management and Economics & Scientific Association of the Department of Knowledge and Information Science, Téhéran, Iran, Islamic Republic of.

2019

Conference paper

  1. SKEEFT : indexing method taking into account the structure of the document. Pascal Cuxac, Jean-Charles Lamirel, Nicolas Kieffer. In proceedings of 15th International Conference on Webometrics, Informetrics and Scientometrics and 20th COLLNET meeting, Dalian, China.
  2. Future Digital Libraries will heavily rely on Machine Learning. Jean-Charles Lamirel. In proceedings of 8th International Library and Information Professionals Summit, (I-LIPS 2019) on Empowering Libraries with emerging Technologies for Common Sustainable Future, Lucknow, India.
  3. Methods for Diachronic Analysis of Scientific Data. Jean-Charles Lamirel. In proceedings of Conference on Scientometrics & Evaluation (CCSE2019), Chengdu, China.
  4. Diachronic Analysis of Textual Data. Jean-Charles Lamirel. In proceedings of IEEE Congress on Evolutionary Computation, CEC 2019, Wellington, New Zealand.
  5. Urban segregation analysis in GIS: a new challenge for clustering. Jean-Charles Lamirel. In proceedings of 15th IEEE International Conference: Beyond Databases, Architectures and Structures (BDAS’2019), Ustron, Poland.
  6. A novel approach based on clustering along with feature maximization and contrast graphs. An example of application for diachronic analysis of research. Jean-Charles Lamirel. In proceedings of CICLing 2019 (20th International Conference on Computational Linguistics and Intelligent Text Processing), La Rochelle, France.
  7. Adapting feature maximization metric from machine learning to complex network analysis. Jean-Charles Lamirel. In proceedings of IWOR 2019 (13th International Workshop on Operation Research), La Havane, Cuba.
  8. New approaches for social network analysis. Jean-Charles Lamirel. In proceedings of ICoASL 2019 (Sixth International Conference of Asian Special Libraries), Delhi, India.
  9. Analyse diachronique des données textuelles : mise en comparaison des méthodes LDA et des méthodes basées sur le clustering et les graphes de contraste. Jean-Charles Lamirel. In proceedings of EGC-GAST Workshop 19eme Conference Francophone sur l’extraction et la gestion des connaissances, Metz, France.
  10. Une nouvelle approche d’analyse non supervisée des données textuelles basée sur la combinaison du clustering, de la maximisation des traits et des graphes de contraste: application à l’analyse de l’évolution de sujets de recherche en Science de la Science. Jean-Charles Lamirel. In proceedings of Text Mine Workshop 2019 (EGC), Metz, France.
  11. Use of data mining and big data management in library science: new challenging approaches. Jean-Charles Lamirel. In proceedings of DELNET (Developing Library Network) Invited Conference, Delhi, India.
  12. Deep learning methods for text classification. Jean-Charles Lamirel. In proceedings of DUT Invited International Seminar, Dalian, China.
  13. Basic approaches for text classification. Jean-Charles Lamirel. In proceedings of DUT Invited International Seminar, Dalian, China.
  14. From massive databases to the Web of data: disambiguation and alignment of geographical entities in scientific texts. Jean-Charles Lamirel, Pascal Cuxac. In proceedings of 15th International Conference on Webometrics, Informetrics and Scientometrics and 20th COLLNET meeting, Dalian, China.
  15. Feature selection and graph representation for an analysis of science fields evolution : an application to the digital library ISTEX. Jean-Charles Lamirel, Pascal Cuxac. In proceedings of ECIR 2019 - 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2019), Cologne, France.
  16. When clustering the multiscalar fingerprint of the city reveals its segregation patterns. Madalina Olteanu, Jean-Charles Lamirel. In proceedings of 13th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, Barcelone, Spain.

2018

Journal

  1. Automatic summarization of scientific publications using a feature selection approach. Hazem Al Saied, Nicolas Dugué, Jean-Charles Lamirel. International Journal on Digital Libraries, Springer Verlag.
  2. An overview on 40 years science of science research topic evolution in China: a novel approach based on clustering and feature maximization. Jean-Charles Lamirel, Yue Chen, Zehuan Liu. Science of Science and Management of S&T.

Conference paper

  1. Clustering models for mining association rules from numerical datasets. Shadi Al Shehabi, Ahmed Al-Jibouri, Jean-Charles Lamirel. In proceedings of 1st International Eurasian Conference on Science, Engineering and Technology (EurasianSciEnTech18), Ankara, Türkiye.
  2. Bringing a Feature Selection Metric from Machine Learning to Complex Networks. Nicolas Dugué, Jean-Charles Lamirel, Anthony Perez. In proceedings of COMPLEX NETWORKS 2018:The Seventh International Conference on Complex Networks & their Applications, Cambridge, United Kingdom.
  3. A new noise-resisting feature-based clustering quality evaluation approach scaling from low to high dimensional data. Jean-Charles Lamirel. In proceedings of COMPSTAT 2018 (23rd International Conference on Computational Statistics), Iasi, Romania.
  4. Optimal clustering model detection using features salience: a new promising approach for real data context. Jean-Charles Lamirel. In proceedings of 25th International Science Conference on Computer Networks CN2018, Gliwice, Poland.
  5. Clustering Quality based on features: an efficient approach. Jean-Charles Lamirel. In proceedings of ICOR (13th International Conference on Operation Research), La Havane, Cuba.
  6. Topic extraction models: a comparison. Jean-Charles Lamirel. In proceedings of DUT Invited International Seminar, Dalian, China.
  7. Novel graph-based techniques applied to science evaluation in big data context. Jean-Charles Lamirel. In proceedings of Chinese Academy of Science Invited International Seminar, Pékin, China.
  8. Highlighting central roles in scientific communities: towards new indicators and methods. Jean-Charles Lamirel. In proceedings of University of Gliwice Invited International Seminar, Gliwice, Poland.
  9. A novel patent dataset construction strategy based on machine learning for S&T analysis. Kai Song, Yue Chen, Jean-Charles Lamirel. In proceedings of 14th International Conference on Webometrics, Informetrics and Scientometrics and 20th COLLNET meeting, Macao, China.

2017

Journal

  1. Report of The 12th International Conference on Webometrics, Informetrics and Scientometrics (WIS). Hildrun Kretschmer, Jean-Charles Lamirel, Praveen Kumar Jain. Collnet Journal of Scientometrics and Information Management.

Book

  1. Trends in Bibliometrics and Scientometrics Studies. Jean-Charles Lamirel, Praveen Kumar Jain, Parveen Babbar.

Conference paper

  1. Une métrique de sélection de variables appliquée à la centralité et à la détection des rôles communautaires. Nicolas Dugué, Jean-Charles Lamirel. In proceedings of 17ème Conférence Extraction et Gestion des Connaissances (EGC 2017), Grenoble, France.

  2. Diachronic’Explorer: Keep track of your clusters !. Nicolas Dugué, Jean-Charles Lamirel, Pascal Cuxac. In proceedings of RCIS, Grenoble, France. Sergio España, Jolita Ralyté, Carine Souveyet (eds). 2017.

  3. Clustering quality evaluation: a task that has to deal with a naturally noisy context. Jean-Charles Lamirel. In proceedings of LABELNOISE’2017 - Label Noise Problems in Statistics, Machine Learning and Classification, Nancy, France.

  4. Feature maximization metric and its application to large data. Jean-Charles Lamirel. In proceedings of 5th CMM Pucón Symposium: Data Science for Frontier Astronomy, Biology and Medicine, Puerto Varas, Chile.

  5. Application de la maximisation des traits aux données volumineuses : graphes de contraste et identification des rôles communautaires dans les graphes. Jean-Charles Lamirel. In proceedings of 6ème Journées EGC « Big Data Mining and Visualization », Lille, France.

  6. The text mining techniques in the big data context. Jean-Charles Lamirel. In proceedings of 13th IEEE International Conference: Beyond Databases, Architectures and Structures (BDAS’2017), Ustron, Poland.

  7. Identification et analyse automatisée de thèmes récurrents dans la science : les exemples de la théorie des cordes et de la théorie du Big Bang en astronomie. Jean-Charles Lamirel. In proceedings of ACFAS : 85e Congrès de l’ACFAS, Montréal, Canada.

  8. Community role analysis in scientometrics and webometrics: new scale independent approaches. Jean-Charles Lamirel. In proceedings of 6th International Library and Information Professionals Summit, LIPS, dehli, India.

  9. Highlighting central roles in scientific communities: towards new indicators and methods. Jean-Charles Lamirel. In proceedings of International ICSTI conference on Information support of science and education: scientometrics and bibliometric, Moscou, Russian Federation.

  10. Clustering principles and methods. Jean-Charles Lamirel. In proceedings of DUT Invited International Seminar, Dalian, China.

  11. Diachronic science analysis. Jean-Charles Lamirel. In proceedings of DUT Invited International Seminar, Dalian, China.

Proceedings

  1. TextMine’17. Pascal Cuxac, Vincent Lemaire, Jean-Charles Lamirel.
  2. Proceedings of 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+) 2017. Jean-Charles Lamirel, Marie Cottrell, Madalina Olteanu.

2016

Journal

  1. Visualisation pour la détection d’évolutions dans des corpus de publications scientifiques. Nicolas Dugué, Jean-Charles Lamirel, Pascal Cuxac. Les Cahiers du numérique, Lavoisier.

Book chapter

  1. A Novel Approach to Feature Selection Based on Quality Estimation Metrics. Jean-Charles Lamirel, Pascal Cuxac, Kafil Hajlaoui. Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed (eds). 2016.

Conference paper

  1. Diachronic’Explorer : keep track of your clusters !. Nicolas Dugué, Jean-Charles Lamirel, Pascal Cuxac. In proceedings of RCIS 2016, Grenoble, France.
  2. Managing Very Large and Highly Multidimensional Data Collections Mining Ad-Hoc Metrics and Related Statistics. Jean-Charles Lamirel. In proceedings of XII IEEE Latin American Summer School on Computational Intelligence - EVIC 2016, Santiago, Chile.
  3. Vers une interprétation diachronique du contenu de corpus de données numériques multi-sources : application à l´étude de l´évolution des données scientifiques en ligne. Jean-Charles Lamirel. In proceedings of CIDE 19 - 19ème Colloque International sur le Document Électronique 24-26 Novembre 2016, Athènes, Greece.
  4. Reliable clustering indexes. Jean-Charles Lamirel. In proceedings of IEA-AIE 2016 The 29th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, Morioka, Japan.
  5. Visualization for the detection of changes in corpora of scientific papers. Jean-Charles Lamirel. In proceedings of LIPS 2016 - 5th Library and Information Professional Summit – (LIPS 2016) on “From Ownership to Access: Leveraging the Digital Paradigm”, Delhi, India.
  6. Reliable clustering quality estimation from low to high dimensional data. Jean-Charles Lamirel. In proceedings of 11th Workshop on Self-Organizing Maps (WSOM 2016), Houston, United States.
  7. New efficient clustering quality indexes. Jean-Charles Lamirel, Nicolas Dugué, Pascal Cuxac. In proceedings of International Joint Conference on Neural Networks (IJCNN 2016), Vancouver, Canada.
  8. Performing and Visualizing Temporal Analysis of Large Text Data Issued for Open Sources : Past and Future Methods. Jean-Charles Lamirel, Nicolas Dugué, Pascal Cuxac. In proceedings of 12th IEEE International Conference: Beyond Databases, Architectures and Structures (BDAS’2016), Ustron, Poland. Stanisław Kozielski, Dariusz Mrozek, Paweł Kasprowski, Bożena Małysiak-Mrozek, Daniel Kostrzewa (eds). 2016.

2015

Journal

  1. Federating clustering and cluster labelling capabilities with a single approach based on feature maximization: French verb classes identification with IGNGF neural clustering.. Jean-Charles Lamirel, Ingrid Falk, Claire Gardent. Neurocomputing, Elsevier.

Conference paper

  1. Feature selection and complex networks methods for an analysis of collaboration evolution in science: an application to the ISTEX digital library. Nicolas Dugué, Jean-Charles Lamirel, Ali Tebbakh. In proceedings of ISTE-ISKO Maghreb 2015 Post Proceedings Book, Hammamet, Tunisia.
  2. Feature selection and complex networks methods for an analysis of collaboration evolution in science: an application to the ISTEX digital library. Nicolas Dugué, Ali Tebbakh, Pascal Cuxac, Jean-Charles Lamirel. In proceedings of ISKO-MAGHREB 2015, Hammamet, Tunisia.
  3. Exploring the dynamics of scientific collections using a new combination of approaches mixing graph representation and feature selection. Jean-Charles Lamirel. In proceedings of DISC 2015, Daegu, Korea, Republic of.
  4. New quality indexes for optimal clustering model identification based on cross-domain approach. Jean-Charles Lamirel. In proceedings of ICTAI – CIMA workshop - 28th International Conference on Tools with Artificial Intelligence (ICTAI), Vietri sul Mare, Italy.
  5. Nouveaux indices de qualité de clustering basés sur la maximisation de traits. Jean-Charles Lamirel. In proceedings of SFC’15, Nantes, France.
  6. New metrics and related statistical approaches for efficient mining in very large and highly multidimensional databases. Jean-Charles Lamirel. In proceedings of 11th IEEE International Conference: Beyond Databases, Architectures and Structures (BDAS’2015), Cracovie, Poland.
  7. Feature Maximization: a Highly Accurate Approach for Feature Selection and Meta-Classification. Jean-Charles Lamirel. In proceedings of Classification Society 2015 Annual Meeting, Hamilton, Canada.
  8. Feature maximization based clustering quality evaluation: a promising approach. Jean-Charles Lamirel. In proceedings of QIMIE 2015: 4th International PAKDD Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models, Ho Chi Min, Viet Nam.
  9. New quality indexes for optimal clustering model identification with high dimensional data. Jean-Charles Lamirel, Pascal Cuxac. In proceedings of ICDM-HDM’15 - International Workshop on High Dimensional Data Mining, Atlantic City, United States.

2014

Journal

  1. A promising combination of approaches for solving complex text classification tasks: application to the classification of scientific papers into patents classes. Kafil Hajlaoui, Jean-Charles Lamirel. International Journal of Knowledge and Learning, Inderscience.
  2. Optimizing text classification through efficient feature selection based on quality metric. Jean-Charles Lamirel, Pascal Cuxac, Kafil Hajlaoui. Journal of Intelligent Information Systems, Springer Verlag.
  3. Automatic websites classification and retrieval using websites communication signatures. Jean-Charles Lamirel, David Reymond. Journal of Information Management and Scientometrics, Aligarh Muslim University.

Conference paper

  1. Measuring and highlighting changes of influence in authors/topics networks through the use of a new metric: application to a compound dataset of scientific data. Jean-Charles Lamirel. In proceedings of DISC 2014, Daegu, Korea, Republic of.
  2. Improving textual data classification and discrimination using an ad-hoc metric: application to a famous text discrimination challenge. Jean-Charles Lamirel, Pascal Cuxac. In proceedings of 4th International Symposium ISKO-Maghreb 2014, Alger, Algeria.
  3. Dynamically highlighting influential authors in a topic domain : a tentative approach. Jean-Charles Lamirel, Pascal Cuxac. In proceedings of 10th International Conference on Webometrics, Informetrics and Scientometrics (WIS), Illmenau, Germany.
  4. Une nouvelle méthode statistique pour la classification robuste des données textuelles : le cas Mitterand-Chirac. Jean-Charles Lamirel, Pascal Cuxac. In proceedings of JADT 2014 : 12èmes Journées internationales d’Analyse statistique des Données Textuelles, Paris, France.
  5. Une nouvelle approche pour la sélection de variables basée sur une métrique d’estimation de la qualité. Jean-Charles Lamirel, Pascal Cuxac, Kafil Hajlaoui. In proceedings of EGC 2014, Rennes, France.

2013

Journal

  1. Efficient supervised and semi-supervised approaches for affiliations disambiguation. Pascal Cuxac, Jean-Charles Lamirel, Valérie Bonvallot. Scientometrics, Springer Verlag.
  2. Aide à l’expertise des brevets par alignement avec les publications scientifiques. Kafil Hajlaoui, Pascal Cuxac, Jean-Charles Lamirel, Claire François. Document numérique - Revue des sciences et technologies de l’information. Série Document numérique, Hermès.
  3. Multi-View Data Analysis and Concept Extraction Methods for Text. Jean-Charles Lamirel. Knowledge Organization, Ergon Verlag.

Conference paper

  1. Analyse des évolutions et des interactions entre domaines scientifiques : GRAFSEL, association de la sélection de variables et de la représentation graphique. Pascal Cuxac, Jean-Charles Lamirel. In proceedings of VSST 2013 - 7e colloque de Veille Stratégique, Scientifique et Technologique, Nancy, France.
  2. Analysis of evolutions and interactions between science fields : the cooperation between feature selection and graph representation. Pascal Cuxac, Jean-Charles Lamirel. In proceedings of 14th COLLNET Meeting, Tartu, Estonia.
  3. Enhancing classification accuracy with the help of feature maximization metric. Jean-Charles Lamirel. In proceedings of ICTAI, Washington, United States.
  4. Dealing with highly imbalanced textual data gathered into similar classes. Jean-Charles Lamirel. In proceedings of IJCNN - 2013 International Joint Conference on Neural Networks, Dallas, United States.
  5. Enhancing feature selection with feature maximization metric. Jean-Charles Lamirel. In proceedings of WSC, Hong Kong, China.
  6. Supervised and unsupervised multi-view data analysis methods for text. Jean-Charles Lamirel. In proceedings of WISSORG’2013, Postdam, Germany.
  7. Amélioration de la qualité des résultats des classifieurs par la métrique de maximisation d’étiquetage. Jean-Charles Lamirel, Pascal Cuxac. In proceedings of ISKO-MAGHREB, Marrakech, Morocco.
  8. Nouvelles méthodes statistiques pour le traitement des données textuelles volumineuses et changeantes. Jean-Charles Lamirel, Pascal Cuxac. In proceedings of Premières Rencontres Scientifiques du Réseau Mixte LaFEF (Langue Française et Expressions Francophones), Strasbourg, France.
  9. A new feature selection and feature contrasting approach based on quality metric: application to efficient classification of complex textual data. Jean-Charles Lamirel, Pascal Cuxac, Kafil Hajlaoui, Aneesh Sreevallabh Chivukula. In proceedings of International Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2013), Gold Coast, Australia.

2012

Journal

  1. A new approach for automatizing the analysis of research topics dynamics: application to optoelectronics research. Jean-Charles Lamirel. Scientometrics, Springer Verlag.

Conference paper

  1. Efficient supervised and semi-supervised approaches for affliations disambiguation. Pascal Cuxac, Valérie Bonvallot, Jean-Charles Lamirel. In proceedings of 13th COLLNET Meeting, Seoul, Korea, Democratic People’s Republic of.

  2. Efficient supervised and semi-supervised approaches for affiliations disambiguation. Pascal Cuxac, Jean-Charles Lamirel. In proceedings of WIS - 8th International Conference on Webometrics, Informetrics and Scientometrics - 2012, Séoul, Korea, Republic of.

  3. Approche semi-supervisée pour la désambiguïsation des affiliations dans les bases de données bibliographiques. Pascal Cuxac, Jean-Charles Lamirel, Valérie Bonvallot. In proceedings of 2nd International Symposium ISKO Maghreb - 2012, Hammamet, Tunisia.

  4. Classifying French Verbs Using French and English Lexical Resources. Ingrid Falk, Claire Gardent, Jean-Charles Lamirel. In proceedings of The 50th annual meeting of the Association for Computational Linguistics - ACL’12, Jeju, Korea, Republic of.

  5. Enhancing Patent Expertise through Automatic Matching with Scientific Papers. Kafil Hajlaoui, Pascal Cuxac, Jean-Charles Lamirel, Claire François. In proceedings of DS 2012 : The Fifteenth International Conference on Discovery Science, Lyon, France. Jean-Gabriel Ganascia, Philippe Lenca, Jean-Marc Petit (eds). 2012.

  6. Aide à l’expertise des brevets par alignement avec les publications scientifiques. Kafil Hajlaoui, Pascal Cuxac, Jean-Charles Lamirel, Claire François. In proceedings of 3ème Séminaire de Veille Stratégique, Scientifique et Technologique, Ajaccio, France.

  7. Combining Neural Clustering with Intelligent Labeling and Unsupervised Bayesian Reasoning in a Multiview Context for Efficient Diachronic Analysis. Jean-Charles Lamirel. In proceedings of WSOM - 9th Workshop on Self-Organizing Maps - 2012, Santiago, Chile.

  8. Opening new perspectives for classifying and mining textual and web data. Jean-Charles Lamirel. In proceedings of 2nd international Symposium ISKO-MAGHREB - 2012, Hammamet, Tunisia.

  9. A new incremental clustering approach based on cluster data feature maximization. Jean-Charles Lamirel. In proceedings of Classification Society 2012 Annual Meeting, Pittsburgh, United States.

  10. A new approach for improving clustering quality based on connected maximized cluster features. Jean-Charles Lamirel. In proceedings of Classification Society 2012 Annual Meeting, Pittsburgh, United States.

  11. An unbiased symbolico-numeric approach for reliable clustering quality evaluation. Jean-Charles Lamirel. In proceedings of Classification Society 2012 Annual Meeting, Pittsburgh, United States.

  12. Détection des évolutions dans les corpus textuels. Jean-Charles Lamirel, Pascal Cuxac. In proceedings of EGC 2012 CIDN Workshop, Bordeaux, France.

  13. Enhancing NLP Tasks by the Use of a Recent Neural Incremental Clustering Approach Based on Cluster Data Feature Maximization. Jean-Charles Lamirel, Ingrid Falk, Claire Gardent. In proceedings of WSOM - 9th Workshop on Self-Organizing Maps - 2012, Santiago, Chile.

  14. Automatic websites classification and retrieval using websites communication signatures. Jean-Charles Lamirel, David Reymond. In proceedings of WIS - 8th International Conference on Webometrics, Informetrics and Scientometrics - 2012, Séoul, Korea, Republic of.

2011

Journal

  1. Analyse intelligente de documents et découverte de connaissances. Pascal Cuxac, Jean-Charles Lamirel. Bulletin de l’Association Française pour l’Intelligence Artificielle, AFIA.
  2. Learning Solution Quality of Hard Combinatorial Problems by Kernel Methods. Mahmoud Zennaki, Abdel Ech-Cherif, Jean-Charles Lamirel. International Journal of Computer Applications, Foundation of Computer Science.

Book chapter

  1. Clustering incrémental et méthodes de détection de nouveauté : application à l’analyse intelligente d’informations évoluant au cours du temps. Pascal Cuxac, Jean-Charles Lamirel. Luc Grivel (eds). 2011.

  2. Recherche des évolutions technologiques à partir de bases de données bibliographiques : apport de la classification incrémentale. Jean-Charles Lamirel, Pascal Cuxac, Claire François. Luc Grivel (eds). 2011.

Conference paper

  1. A new diachronic methodology for automatizing the analysis of research topics dynamics : an example of application on optoelectronics research. Jean-Charles Lamirel. In proceedings of 7th International Conference on Webometrics, Informetrics and Scientometrics and 12th COLLNET Meeting, Istanbul, Türkiye.
  2. A new method for automatically analyzing the research dynamics: application on optoelectronics research. Jean-Charles Lamirel. In proceedings of 13th ISSI 2011 Conference, Durban, South Africa.
  3. Une nouvelle méthodologie diachronique pour automatiser l’analyse de la dynamique des domaines de recherche. Jean-Charles Lamirel. In proceedings of 1st. International Symposium ISKO-Maghreb, Hammamet, Tunisia.
  4. A new label maximization based incremental neural clustering approach: application to text clustering. Jean-Charles Lamirel, Shadi Al Shehabi, Ghada Safi. In proceedings of 8th Workshop on Self-Organizing Maps (WSOM 2011), Espoo, Finland.
  5. A new efficient and unbiased approach for clustering quality evaluation. Jean-Charles Lamirel, Pascal Cuxac, Raghvendra Mall. In proceedings of QIMIE’11, Shenzen, China.
  6. Comparative behaviour of recent incremental and non-incremental clustering methods on text: an extended study. Jean-Charles Lamirel, Raghvendra Mall, Mumtaz Ahmad. In proceedings of The Twenty-fourth International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2011), Syracuse, United States.
  7. Comportement comparatif des méthodes de clustering incrémentales et non incrémentales sur les données textuelles hétérogènes. Jean-Charles Lamirel, Raghvendra Mall, Mumtaz Ahmad. In proceedings of 11th International Francophone Conference on Knowledge Extraction and Management (EGC 2011), Brest, France.
  8. Variations to incremental growing neural gas algorithm based on label maximization. Jean-Charles Lamirel, Raghvendra Mall, Pascal Cuxac, Ghada Safi. In proceedings of International Joint Conference on Neural Networks - IJCNN 2011, San Jose, United States.

2010

Book chapter

  1. A new multi-viewpoint and multi-level clustering paradigm for efficient data mining tasks. Jean-Charles Lamirel. Kimito Funatsu (eds). 2010.

Conference paper

  1. Les méthodes de classification non supervisées appliquées aux textes : mesure de la performance des résultats de clustering de documents. Pascal Cuxac, Jean-Charles Lamirel, Maha Ghribi. In proceedings of Association Canadienne des Science de l’Information - ACSI 2010, Montréal, Canada.

  2. Metadata for Wicri, a network of semantic Wikis for communities in research and innovation. Jacques Ducloy, Thierry Daunois, Muriel Foulonneau, Alice Hermann, Jean-Charles Lamirel, Stéphane Sire, Jean-Pierre Thomesse, Christine Vanoirbeek. In proceedings of International Conference on Dublin Core and Metadata Applications - DC-2010, Pittsburgh, United States. Michael Lauruhn, Diane I. Hillmann (eds). 2010.

  3. Mesures de qualité de clustering de documents : Prise en compte de la distribution des mots clés. Maha Ghribi, Pascal Cuxac, Jean-Charles Lamirel, Alain Lelu. In proceedings of 10ème Conférence Internationale Francophone sur l’Extraction et la Gestion des Connaissances - EGC 2010, Hammamet, Tunisia. Nicolas Béchet (eds). 2010.

  4. Un nouvel algorithme incrémental de gaz neuronal croissant basé sur l’étiquetage des clusters par maximisation de vraisemblance : application au clustering des gros corpus de données textuelles hétérogènes. Jean-Charles Lamirel, Zied Boulila, Maha Ghribi, Pascal Cuxac, Claire François. In proceedings of Sixième colloque : Veille Stratégique Scientifique et Technologique - VSST’2010, Toulouse, France.

  5. A new incremental neural clustering approach for performing reliable large scope scientometrics analysis. Jean-Charles Lamirel, Zied Boulila, Maha Ghribi, Pascal Cuxac, Claire François. In proceedings of 6th International Conference on Webometrics, Informetrics and Scientometrics and 11th COLLNET Meeting, Mysore, India.

  6. A new incremental growing neural gas algorithm based on clusters labeling maximization: application to clustering of heterogeneous textual data. Jean-Charles Lamirel, Zied Boulila, Maha Ghribi, Pascal Cuxac, Claire François. In proceedings of 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2010), Cordoba, Spain. Nicolás García-Pedrajas, Francisco Herrera, José Manuel Benítez, Colin Fyfe, Moonis Ali (eds). 2010.

  7. A new general paradigm for mining research topics evolving over time. Jean-Charles Lamirel, Pascal Cuxac, Charif Haydar, Claire François. In proceedings of 3rd International Conference on Information Systems and Economic Intelligence - SIIE’2010, Sousse, Tunisia.

  8. Unsupervised recall and precision measures: a step towards new efficient clustering quality indexes. Jean-Charles Lamirel, Maha Ghribi, Pascal Cuxac. In proceedings of 19th International Conference on Computational Statistics - COMPSTAT’2010, Paris, France.

  9. Micro rappel précision non supervisés : vers de nouvelles mesures de qualité de clustering. Jean-Charles Lamirel, Maha Ghribi, Pascal Cuxac. In proceedings of XVIIèmes Rencontres de la Société Francophone de Classification- SFC’10, Saint-Denis de La Réunion, France.

  10. Exploitation d’une mesure de micro-précision cumulée non supervisée pour l’évaluation fiable de la qualité des résultats de clustering. Jean-Charles Lamirel, Maha Ghribi, Pascal Cuxac. In proceedings of 42èmes Journées de Statistique, Marseille, France.

  11. Use of distance-based indexes might well lead to misinterpretation of clustering quality results. Jean-Charles Lamirel, Ghada Safi. In proceedings of 1st International Workshop on Validation Statistics, Berlin, Germany.

  12. Mining research topics evolving over time using a diachronic multi-source approach. Jean-Charles Lamirel, Ghada Safi, Navesh Pryankar, Pascal Cuxac. In proceedings of 4th International Workshop on Mining Multiple Information Sources - ICDM 2010, Sydney, Australia.

2009

Conference paper

  1. Intelligent patents analysis using a multiview neural-based approach. Jean-Charles Lamirel, Shadi Al Shehabi. In proceedings of Conference on Recent Trends in Patinformatics, Puna, India.
  2. Analysis of research topics evolving over time using an unsupervised neural clustering in a multiview context. Jean-Charles Lamirel, Shareef Haydar. In proceedings of 5th International Conference on Webometrics, Informetrics and Scientometrics and 10th COLLNET Meeting - WIS 2009, Dalian, China.

2008

Conference paper

  1. A Multi-level Abstraction Model for Competitive Learning Neural Networks. Randa Kassab, Jean-Charles Lamirel. In proceedings of Artificial Intelligence and Applications - AIA 2008, Innsbruck, Austria, Austria.
  2. Feature-Based Cluster Validation for High-Dimensional Data. Randa Kassab, Jean-Charles Lamirel. In proceedings of Artificial Intelligence and Applications - AIA 2008, Innsbruck, Austria, Austria.
  3. Combination of hyperbolic visualization and graph-based approach for organizing data analysis results: an application to social network analysis. Jean-Charles Lamirel. In proceedings of 4th International Conference on Webometrics, Informetrics and Scientometrics and 9th Collnet Meeting, Berlin, Germany.
  4. Novel Labeling Strategies for Hierarchical Representation of Multidimensional Data Analysis Results. Jean-Charles Lamirel, Anh Phuong Ta, Mohammed Attik. In proceedings of AIA - IASTED, Innbruck, Austria.

2007

Conference paper

  1. Towards a Synthetic Analysis of User’s Information Need for More Effective Personalized Filtering Services. Randa Kassab, Jean-Charles Lamirel. In proceedings of SAC ’07: ACM symposium on Applied computing, Seoul, Korea, Republic of.

2006

Journal

  1. Evaluation of collaboration between European universities using dynamic interaction between multiple sources. Shadi Al Shehabi, Jean-Charles Lamirel. Journal of Information Management and Scientometrics, Aligarh Muslim University.
  2. Combining Advanced Vizualization and Automatized Reasoning for Webometrics: A Test Study. Claire François, Shadi Al Shehabi, Jean-Charles Lamirel. Journal of Information Management and Scientometrics, Aligarh Muslim University.

Conference paper

  1. A new hyperbolic visualization method for displaying the results of a neural gas model: application to webometrics. Shadi Al Shehabi, Jean-Charles Lamirel. In proceedings of Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN).
  2. PFC : Un outil d’aide à la découverte du contenu des documents et à la création de dossiers. André Alusse, Jean-Charles Lamirel, Abdel Belaïd. In proceedings of 9ème Colloque International sur le Document Électronique 2006 - CIDE. 9, Fribourg, Switzerland.
  3. Clustering Quality Measures for Data Samples wth Multiple Labels. Mohammed Attik, Shadi Al Shehabi, Jean-Charles Lamirel. In proceedings of Proceedings of The IASTED International Conference on Databases and Applications - DBA’2006.
  4. Clustering Analysis for Data samples with Multiple Labels. Mohammed Attik, Shadi Al Shehabi, Jean-Charles Lamirel. In proceedings of Proceedings of The IASTED International Conference on Databases and Applications - DBA’2006.
  5. Extracting Informative Rules From High Dimensionnal Data Using a Numerical Approach. Nicolas Carrez, Jean-Charles Lamirel, Shadi Al Shehabi. In proceedings of Sixth IEEE International Conference on Data Mining Workshops, 2006. ICDM Workshops 2006, Hong-Kong, Hong Kong.
  6. Combining Advanced Visualization and Automatized Reasoning for Webometrics : A Test Study. Claire François, Jean-Charles Lamirel, Shadi Al Shehabi. In proceedings of COLLNET 2006, Nancy, France.
  7. Apprentissage neuro-symbolique pour la RI coopérative, adaptative et évolutive : le modèle multi-agents SARCI. Hager Kammoun, Jean-Charles Lamirel, Mohamed Ben Ahmed. In proceedings of INFORSID 2006.
  8. An Innovative Approach to Intelligent Information Filtering. Randa Kassab, Jean-Charles Lamirel. In proceedings of SAC ’06 : ACM symposium on Applied computing, Dijon, France.
  9. A New Approach to Intelligent Text Filtering Based on Novelty Detection. Randa Kassab, Jean-Charles Lamirel. In proceedings of The 17th Australasian Database Conference - ADC 2006, Tasmania, Australia, Australia.
  10. Highlighting characteristics of groups of collaboration using a new label analysis technique: a methodology proposal. Jean-Charles Lamirel. In proceedings of International Forum on Science Study and Scientometrics, China.
  11. MultiSOM: a multiview neural model for accurately analyzing and mining complex data. Jean-Charles Lamirel, Shadi Al Shehabi. In proceedings of Proceedings of the 4th International Conference on Coordinated & Multiple Views in Exploratory Visualization - CMV 2006.
  12. A Tabu Search Meta-Heuristic for Image Semi-Supervised Classification. Mahmoud Zennaki, Abdel Ech-Cherif, Jean-Charles Lamirel. In proceedings of Proceedings of the International Conference on Geometric Modeling and Imaging - GMAI’2006.

2005

Conference paper

  1. Knowledge Extraction from Unsupervised Multi-topographic Neural Network Models. Shadi Al Shehabi, Jean-Charles Lamirel. In proceedings of International Conference on Artificial Neural Networks - ICANN 2005, Warsaw/Poland. Włodzisław Duch, Janusz Kacprzyk, Erkki Oja, Sławomir Zadrożny (eds). 2005.

  2. Multi-Topographic Neural Network Communication and Generalization for Multi-Viewpoint Analysis. Shadi Al Shehabi, Jean-Charles Lamirel. In proceedings of International Joint Conference on Neural Networks - IJCNN’05, Montréal/Canada.

  3. Machine-Learning applied to Queries and Documents for an Adaptive and Evolutive Information Retrieval. Hager Kammoun, Jean-Charles Lamirel, Mohamed Ben Ahmed. In proceedings of Proceedings of the 2th International Conference on Machine Intelligence - ACIDCA-ICMI’2005.

  4. Neural-Symbolic Machine-Learning for Knowledge Discovery and Adaptive Information Retrieval. Hager Kammoun, Jean-Charles Lamirel, Mohammed Ben Ahmed. In proceedings of Transaction on Engineering, Computing and Technology.

  5. Novelty Detection for Modeling User’s Profile. Randa Kassab, Jean-Charles Lamirel, Emmanuel Nauer. In proceedings of The 18th International FLAIRS Conference, Clearwater Beach/USA, United States.

  6. Une nouvelle approche pour la modélisation du profil de l’utilisateur dans les systèmes de filtrage d’information : le modèle de filtre détecteur de nouveauté. Randa Kassab, Jean-Charles Lamirel, Emmanuel Nauer. In proceedings of 2ème COnférence en Recherche d’Infomations et Applications - CORIA’2005, Grenoble/France, France.

  7. Unsupervised rule extraction using neural numerical models : application to Patent analysis and Web Mining. Jean-Charles Lamirel. In proceedings of 2nd Taiwanese-French Conference in Information Technologies - TFIT 2005, Tainan/Taiwan, ROC.

  8. Link analysis based on unsupervised numerical knowledge extraction. Jean-Charles Lamirel. In proceedings of First DUT sessions on Scientometrics, China.

  9. Evaluation of collaboration between European universities using dynamic interaction between multiple sources. Jean-Charles Lamirel. In proceedings of Proceedings of the 10th International Conference of the International Society for Scientometrics and Informetrics and Collnet Session - ISSI’2005.

  10. Emerging Techniques of Hyperbolic Visualization for Webometrics. Jean-Charles Lamirel. In proceedings of First DUT sessions on Scientometrics, DUT (Dalian), China.

  11. Efficient Knowledge Extraction using Unsupervised Neural Network Models. Jean-Charles Lamirel, Shadi Al Shehabi. In proceedings of 5th Workshop On Self-Organizing Maps - WSOM 05, Paris/France.

2004

Journal

  1. New classification quality estimators for analysis of documentary information: application to patent analysis and web mapping. Jean-Charles Lamirel, Shadi Al Shehabi, Claire François, Martial Hoffmann. Scientometrics, Springer Verlag.
  2. Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project. Jean-Charles Lamirel, Shadi Al Shehabi, Claire François, Xavier Polanco. Scientometrics, Springer Verlag.

Conference paper

  1. Unsupervised neural networks of topographic and gas families documentary data classification. Shadi Al Shehabi, Jean-Charles Lamirel. In proceedings of The 8th World Multi-Conference on Systemics, Cybernetics and Informatics - WMSCI’04, Orlando, USA.
  2. Inference Bayesian Network for Multi-topographic neural network communication: a case study in documentary data. Shadi Al Shehabi, Jean-Charles Lamirel. In proceedings of International Conference on Information and Communication Technologies: from Theory to Applications - ICTTA 2004, Damascus, Syria.
  3. Visualization of Web data: Complementarities between a graph and a multi-maps approach. Claire François, Marianne Hoerlesberger, Shadi Al Shehabi, Xavier Polanco, Jean-Charles Lamirel. In proceedings of 8th International Conference on Science and Technology Indicators - ST 2004, Leiden, Nederlands.
  4. New neural methods for Webometrics. Jean-Charles Lamirel. In proceedings of 4th International Conference on University Evaluation and Research Evaluation, Wuhan, China.
  5. Optimized Data Analysis Based on Neural Networks: Experiments on the MultiSOM Model in the Framework of Patent and Web Data Analysis. Jean-Charles Lamirel. In proceedings of The 4th Sino Franco Workshop on Web Technologies, Tamkang, Taiwan.
  6. Using a compound approach based on elaborated neural network for Webometrics: an example issued from the EICSTES project. Jean-Charles Lamirel, Shadi Al Shehabi, Claire François, Xavier Polanco, Martial Hoffmann. In proceedings of 5th COLNET Meeting - COLLNET 2004, Roorkee, India.

2003

Conference paper

  1. Intelligent patent analysis through the use of a neural network: experiment of multi-viewpoint analysis with the MultiSOM model. Jean-Charles Lamirel, Shadi Al Shehabi, Martial Hoffmann, Claire Francois. In proceedings of The ACL 2003 Workshop on Patent Corpus Processing, Sapporo, Japan.
  2. The MultiSOM model: current status in the EISCTES project. Jean-Charles Lamirel, Claire François, Shadi Al Shehabi. In proceedings of EISCTES - Special Session on Information Visualization, France.
  3. New classification quality estimators for analysis of documentary information: application to patent analysis and web mapping. Jean-Charles Lamirel, Claire François, Shadi Al Shehabi, Martial Hoffmann. In proceedings of Proceedings of the 9th International Conference on Scientometrics and Informetrics (ISSI).
  4. A Hybrid Classification Method for Database Contents Analysis. Jean-Charles Lamirel, Yannick Toussaint, Shadi Al Shehabi. In proceedings of The 16th International FLAIRS Conference - FLAIRS 2003, St. Augustine, Florida.

Research report

  1. Multi-maps SOM platform. Claire François, Martial Hoffmann, Jean-Charles Lamirel, Xavier Polanco.
  2. Artificial neural network mapping experiments. Claire François, Martial Hoffmann, Jean-Charles Lamirel, Xavier Polanco, Shadi Al Shehabi.

2002

Conference paper

  1. Association de méthodes symboliques et numériques pour l’analyse du contenu de bases de données. Jean-Charles Lamirel, Yannick Toussaint. In proceedings of 13ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle - RFIA’2002, Angers, France.

2001

Journal

  1. Using Artificial Neural Networks for Mapping of Science and technology: a multi self-organizing Maps approach. Xavier Polanco, Claire François, Jean-Charles Lamirel. Scientometrics, Springer Verlag.

Conference paper

  1. A classificatory System for Information Retrieval: SARCI. Hager Kammoun, Jean-Charles Lamirel. In proceedings of The 5th World Multi-Conference on Systemics, Cybernetics and Informatics - SCI 2001, Orlando, USA.
  2. MicroNOMAD model application to Digital Museum of Butterflies. Jean-Charles Lamirel. In proceedings of First Sino-Franco Workshop on Multimedia, Puli, Taiwan.
  3. Réseaux neuronaux avancés pour la cartographie de la science et de la technologie : Application à l’analyse des brevets. Jean-Charles Lamirel, Yannick Toussaint, Jacques Ducloy, Catherine Czysz, Claire François. In proceedings of Veille Stratégique Scientifique et Technologique - VSST’2001, Barcelone, Espagne.
  4. Using a MultiSOM approach for Mapping of Science and Technology. Jean-Charles Lamirel, Yannick Toussaint, Claire François, Xavier Polanco. In proceedings of ISSI 2001, none.
  5. Combining Symbolic and Numeric Techniques for Database Content Analysis. Yannick Toussaint, Jean-Charles Lamirel, Mathieu d’Aquin. In proceedings of AI/IEA01, none.

2000

Conference paper

  1. Information Visualization and Analysis for Knowledge Discovery: Using a Multi Self-Organizing Mapping. Claire François, Xavier Polanco, Jean-Charles Lamirel. In proceedings of 4th PKDD Conference : Workshop on Machine Learning & Textual Information Access, Lyon, France.

  2. Using images for enhancing discovering task in a DL context. Jean-Charles Lamirel. In proceedings of SPIE 2001, none.

  3. A self organizing map (SOM) extended model for information discovery in a digital library context. Jean-Charles Lamirel, Jacques Ducloy, Hager Kammoun. In proceedings of ACM 6TH SIGKDD Conference: Workshop on Multimedia Data Mining, Boston, MA, USA.

  4. Topographic Combination of Images and Texts for Information Discovery in a Digital Library Context. Jean-Charles Lamirel, Jacques Ducloy, Hager Kammoun. In proceedings of ACM/SBBD 2000, none.

  5. A Self Organizing Map (SOM) Extended Model for Information Discovery. Jean-Charles Lamirel, Jacques Ducloy, Hager Kammoun. In proceedings of RSCTC 2000, none.

  6. Adaptive browsing for information discovery in an iconographic context. Jean-Charles Lamirel, Jacques Ducloy, Gérald Oster. In proceedings of RIAO’2000, Collège de France, Paris, France. CID (eds). 2000.

  7. Navigation adaptative et découverte d’information assistées par un fonds iconographique. Jean-Charles Lamirel, Hager Kammoun, Jacques Ducloy. In proceedings of ERGOIA 2000, Biarritz, France.

  8. Adaptive Mapping Model for Data Clustering and Visualization. Jean-Charles Lamirel, Xavier Polanco, Claire François. In proceedings of S & T2000, none.

  9. Combining symbolic and numeric techniques for DL contents classification and analysis. Jean-Charles Lamirel, Yannick Toussaint. In proceedings of First DELOS Workshop on Information seeking, searching and querying in Digital Librairies, none.

  10. Consultas Heterogeneas en Bibliotecas Digitales Distributas. M. Martinez, C.E. Cuesta, Pablo de La Fuente, Jean-Charles Lamirel. In proceedings of SEID 2000, none.

  11. Integracion de Colecciones Heterogeneas en Bibliotecas Digitales. M. Martinez, C.E. Cuesta, Pablo de La Fuente, Jean-Charles Lamirel. In proceedings of Primida Jornadas de Bibliotecas Digitales - JBDIDT’2000, none.

1999

Conference paper

  1. Le modèle neuronal multi-topographique MicroNOMAD : application à l’analyse et à la consultation d’une base iconographique. Jean-Charles Lamirel. In proceedings of Colloque de bibliométrie appliquée de l’Ile Rousse, Ile Rousse, Corse, France.
  2. L’approche multi-topographique MicroNOMAD : application à la navigation dans une base iconographique. Jean-Charles Lamirel, Jacques Ducloy. In proceedings of Journées d’études sur les Systèmes d’nformation Elaborée - SFBA’99, Ile de Rousse/France.
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