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2020 – today
- 2024
[j17]Jean-Charles Lamirel, Francis Lareau, Christophe Malaterre:
CFMf topic-model: comparison with LDA and Top2Vec. Scientometrics 129(10): 6387-6405 (2024)- [c59]Ahmed El Azhar Jebbari, Jean-Charles Lamirel, Bart Lamiroy, Aurélie Vallereau:
Détection d'anomalies sur des documents juridiques contractuels. EGC 2024: 247-254 - 2023
- [c58]Tahani Fennir, Bart Lamiroy
, Jean-Charles Lamirel:
Using GANs for Domain Adaptive High Resolution Synthetic Document Generation. ICDAR Workshops (1) 2023: 49-61 - 2022
- [j16]Erwan Schild, Gautier Durantin, Jean-Charles Lamirel, Florian Miconi:
Iterative and Semi-Supervised Design of Chatbots Using Interactive Clustering. Int. J. Data Warehous. Min. 18(2): 1-19 (2022) - 2021
- [j15]Nicolas Dugué, Jean-Charles Lamirel, Yue Chen:
Evaluating clustering quality using features salience: a promising approach. Neural Comput. Appl. 33(19): 12939-12956 (2021) - [j14]Yue Chen, Jean-Charles Lamirel:
Editorial preface to the Zeyuan Liu memorial issue. Scientometrics 126(7): 6133-6134 (2021) - [j13]Jean-Charles Lamirel, Younes Gueddari, Yuqi Wang, Pascal Cuxac, Anthony Perez, Nicolas Dugué:
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 126(7): 6273-6300 (2021) - [c57]Erwan Schild, Gautier Durantin, Jean-Charles Lamirel, Florian Miconi:
Conception itérative et semi-supervisée d'assistants conversationnels par regroupement interactif des questions. EGC 2021: 157-168 - [c56]Thibault Prouteau, Victor Connes, Nicolas Dugué, Anthony Perez, Jean-Charles Lamirel, Nathalie Camelin, Sylvain Meignier:
SINr: Fast Computing of Sparse Interpretable Node Representations is not a Sin! IDA 2021: 325-337 - 2020
- [j12]Jean-Charles Lamirel, Marie Cottrell, Madalina Olteanu, Bruno Lévy:
Editorial. Neural Comput. Appl. 32(24): 17973-17975 (2020) - [j11]Jean-Charles Lamirel, Yue Chen, Pascal Cuxac, Shadi Al Shehabi, Nicolas Dugué, Zeyuan Liu:
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 125(3): 2971-2999 (2020)
2010 – 2019
- 2019
- [c55]Jean-Charles Lamirel, Pascal Cuxac:
Feature Selection and Graph Representation for an Analysis of Science Fields Evolution: An Application to the Digital Library ISTEX. BIR@ECIR 2019: 88-99 - [c54]Madalina Olteanu, Jean-Charles Lamirel:
When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation Patterns. WSOM+ 2019: 140-149 - 2018
- [j10]Hazem Al Saied, Nicolas Dugué, Jean-Charles Lamirel:
Automatic summarization of scientific publications using a feature selection approach. Int. J. Digit. Libr. 19(2-3): 203-215 (2018) - [c53]Nicolas Dugué, Jean-Charles Lamirel, Anthony Perez:
Bringing a Feature Selection Metric from Machine Learning to Complex Networks. COMPLEX NETWORKS (2) 2018: 107-118 - 2017
- [c52]Nicolas Dugué, Jean-Charles Lamirel:
Une métrique de sélection de variables appliquée à la centralité et à la détection des rôles communautaires. EGC 2017: 9-20 - [e1]Jean-Charles Lamirel, Marie Cottrell, Madalina Olteanu:
12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, WSOM 2017, Nancy, France, June 28-30, 2017. IEEE 2017, ISBN 978-1-5090-6638-4 [contents] - 2016
- [c51]Jean-Charles Lamirel, Nicolas Dugué, Pascal Cuxac:
Performing and Visualizing Temporal Analysis of Large Text Data Issued for Open Sources: Past and Future Methods. BDAS 2016: 56-76 - [c50]Jean-Charles Lamirel:
Reliable Clustering Indexes. IEA/AIE 2016: 103-114 - [c49]Jean-Charles Lamirel, Nicolas Dugué, Pascal Cuxac:
New efficient clustering quality indexes. IJCNN 2016: 3649-3657 - [c48]Nicolas Dugué, Jean-Charles Lamirel, Pascal Cuxac:
Diachronic'Explorer: Keep track of your clusters. RCIS 2016: 1-2 - [c47]Jean-Charles Lamirel:
Reliable Clustering Quality Estimation from Low to High Dimensional Data. WSOM 2016: 95-105 - 2015
- [j9]Jean-Charles Lamirel, Ingrid Falk, Claire Gardent:
Federating clustering and cluster labelling capabilities with a single approach based on feature maximization: French verb classes identification with IGNGF neural clustering. Neurocomputing 147: 136-146 (2015) - [j8]Jean-Charles Lamirel, Pascal Cuxac, Aneesh Sreevallabh Chivukula, Kafil Hajlaoui:
Optimizing text classification through efficient feature selection based on quality metric. J. Intell. Inf. Syst. 45(3): 379-396 (2015) - [c46]Jean-Charles Lamirel:
New Metrics and Related Statistical Approaches for Efficient Mining in Very Large and Highly Multidimensional Databases. BDAS 2015: 3-20 - [c45]Jean-Charles Lamirel, Pascal Cuxac, Kafil Hajlaoui:
A Novel Approach to Feature Selection Based on Quality Estimation Metrics. EGC (best of volume) 2015: 121-140 - [c44]Jean-Charles Lamirel, Pascal Cuxac:
New Quality Indexes for Optimal Clustering Model Identification with High Dimensional Data. ICDM Workshops 2015: 855-862 - [c43]Jean-Charles Lamirel, Shadi Al Shehabi:
Feature Maximization Based Clustering Quality Evaluation: A Promising Approach. PAKDD Workshops 2015: 210-222 - 2014
- [j7]Kafil Hajlaoui, Jean-Charles Lamirel, Pascal Cuxac:
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. 9(1/2): 142-163 (2014) - [c42]Jean-Charles Lamirel, Pascal Cuxac, Kafil Hajlaoui:
Une nouvelle approche pour la sélection de variables basée sur une métrique d'estimation de la qualité. EGC 2014: 143-154 - 2013
- [j6]Kafil Hajlaoui, Pascal Cuxac, Jean-Charles Lamirel, Claire François:
Aide à l'expertise des brevets par alignement avec les publications scientifiques. Document Numérique 16(1): 11-29 (2013) - [j5]Pascal Cuxac, Jean-Charles Lamirel, Valerie Bonvallot:
Efficient supervised and semi-supervised approaches for affiliations disambiguation. Scientometrics 97(1): 47-58 (2013) - [c41]Jean-Charles Lamirel:
Enhancing Classification Accuracy with the Help of Feature Maximization Metric. ICTAI 2013: 569-574 - [c40]Jean-Charles Lamirel:
Dealing with highly imbalanced textual data gathered into similar classes. IJCNN 2013: 1-7 - [c39]Jean-Charles Lamirel, Pascal Cuxac, Aneesh Sreevallabh Chivukula, Kafil Hajlaoui:
A New Feature Selection and Feature Contrasting Approach Based on Quality Metric: Application to Efficient Classification of Complex Textual Data. PAKDD Workshops 2013: 367-378 - 2012
- [j4]Jean-Charles Lamirel:
A new approach for automatizing the analysis of research topics dynamics: application to optoelectronics research. Scientometrics 93(1): 151-166 (2012) - [c38]Ingrid Falk, Claire Gardent, Jean-Charles Lamirel:
Classifying French Verbs Using French and English Lexical Resources. ACL (1) 2012: 854-863 - [c37]Kafil Hajlaoui, Pascal Cuxac, Jean-Charles Lamirel, Claire François:
Enhancing Patent Expertise through Automatic Matching with Scientific Papers. Discovery Science 2012: 299-312 - [c36]Jean-Charles Lamirel, Ingrid Falk, Claire Gardent:
Enhancing NLP Tasks by the Use of a Recent Neural Incremental Clustering Approach Based on Cluster Data Feature Maximization. WSOM 2012: 235-244 - [c35]Jean-Charles Lamirel:
Combining Neural Clustering with Intelligent Labeling and Unsupervised Bayesian Reasoning in a Multiview Context for Efficient Diachronic Analysis. WSOM 2012: 245-254 - 2011
- [c34]Jean-Charles Lamirel, Raghvendra Mall, Mumtaz Ahmad:
Comparative Behaviour of Recent Incremental and Non-incremental Clustering Methods on Text: An Extended Study. IEA/AIE (1) 2011: 19-28 - [c33]Jean-Charles Lamirel, Raghvendra Mall, Pascal Cuxac, Ghada Safi:
Variations to incremental growing neural gas algorithm based on label maximization. IJCNN 2011: 956-965 - [c32]Jean-Charles Lamirel, Pascal Cuxac, Raghvendra Mall, Ghada Safi:
A New Efficient and Unbiased Approach for Clustering Quality Evaluation. PAKDD Workshops 2011: 209-220 - [c31]Jean-Charles Lamirel, Raghvendra Mall, Shadi Al Shehabi, Ghada Safi:
A New Label Maximization Based Incremental Neural Clustering Approach: Application to Text Clustering. WSOM 2011: 257-266 - 2010
- [b2]Jean-Charles Lamirel:
Vers une approche systémique et multivues pour l'analyse de données et la recherche d'information : un nouveau paradigme. Nancy 2 University, France, 2010 - [c30]Jacques Ducloy, Thierry Daunois, Muriel Foulonneau, Alice Hermann, Jean-Charles Lamirel, Stéphane Sire, Jean-Pierre Thomesse, Christine Vanoirbeek:
Metadata for WICRI, a Network of Semantic Wikis for Communities in Research and Innovation. Dublin Core Conference 2010: 94-102 - [c29]Jean-Charles Lamirel, Ghada Safi, Navesh Priyankar, Pascal Cuxac:
Mining Research Topics Evolving Over Time Using a Diachronic Multi-source Approach. ICDM Workshops 2010: 17-24 - [c28]Jean-Charles Lamirel, Zied Boulila, Maha Ghribi, Pascal Cuxac:
A New Incremental Growing Neural Gas Algorithm Based on Clusters Labeling Maximization: Application to Clustering of Heterogeneous Textual Data. IEA/AIE (3) 2010: 139-148
2000 – 2009
- 2008
- [i1]Claire François, Jean-Charles Lamirel, Shadi Al Shehabi:
Combining Advanced Visualization and Automatized Reasoning for Webometrics: A Test Study. CoRR abs/0810.5057 (2008) - 2007
- [c27]Jean-Charles Lamirel, Shadi Al Shehabi:
An Extended Neural Gas Model for Efficient Data Mining Tasks. FLAIRS 2007: 509-511 - [c26]Mahmoud Zennaki, Ahmed Ech-Cherif, Jean-Charles Lamirel:
Using Reactive Tabu Search in Semi-supervised Classification. ICTAI (2) 2007: 340-344 - [c25]Randa Kassab, Jean-Charles Lamirel:
Towards a synthetic analysis of user's information need for more effective personalized filtering services. SAC 2007: 852-859 - 2006
- [c24]Randa Kassab, Jean-Charles Lamirel:
A new approach to intelligent text filtering based on novelty detection. ADC 2006: 149-156 - [c23]André Alusse, Jean-Charles Lamirel, Abdel Belaïd:
PFC: Un outil d'aide à la découverte des contenus des documents et à la création de dossiers. CIDE 2006: 219-235 - [c22]Mohammed Attik, Shadi Al Shehabi, Jean-Charles Lamirel:
Clustering Analysis for Data Samples with Multiple Labels. Databases and Applications 2006: 50-57 - [c21]Mohammed Attik, Shadi Al Shehabi, Jean-Charles Lamirel:
Clustering Quality Measures for Data Samples with Multiple Labels. Databases and Applications 2006: 58-65 - [c20]Shadi Al Shehabi, Jean-Charles Lamirel:
A new hyperbolic visualization method for displaying the results of a neural gas model: application to Webometrics. ESANN 2006: 295-300 - [c19]Mahmoud Zennaki, Ahmed Ech-Cherif, Jean-Charles Lamirel:
A Tabu Search Meta-Heuristic for Image Semi-Supervised Classification. GMAI 2006: 239-243 - [c18]Nicolas Carrez, Jean-Charles Lamirel, Shadi Al Shehabi:
Extracting Informative Rules from High Dimensional Data Using a Numerical Approach. ICDM Workshops 2006: 453-457 - [c17]Hager Kammoun, Jean-Charles Lamirel, Mohamed Ben Ahmed:
Apprentissage neuro-symbolique pour la RI coopérative, adaptative et évolutive : le modèle multi-agents SARCI. INFORSID 2006: 451-466 - [c16]Randa Kassab, Jean-Charles Lamirel:
An innovative approach to intelligent information filtering. SAC 2006: 1089-1093 - 2005
- [c15]Randa Kassab, Jean-Charles Lamirel, Emmanuel Nauer:
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. CORIA 2005: 185-200 - [c14]Randa Kassab, Jean-Charles Lamirel, Emmanuel Nauer:
Novelty Detection for Modeling User's Profile. FLAIRS 2005: 830-831 - [c13]Shadi Al Shehabi, Jean-Charles Lamirel:
Knowledge Extraction from Unsupervised Multi-topographic Neural Network Models. ICANN (2) 2005: 479-484 - 2004
- [j3]Jean-Charles Lamirel, Claire François, Shadi Al Shehabi, Martial Hoffmann:
New classification quality estimators for analysis of documentary information: Application to patent analysis and web mapping. Scientometrics 60(3): 445-562 (2004) - [j2]Jean-Charles Lamirel, Shadi Al Shehabi, Claire François, Xavier Polanco:
Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project. Scientometrics 61(3): 427-441 (2004) - 2003
- [c12]Jean-Charles Lamirel, Yannick Toussaint, Shadi Al Shehabi:
A Hybrid Classification Method for Database Contents Analysis. FLAIRS 2003: 286-292 - 2001
- [j1]Xavier Polanco, Claire François, Jean-Charles Lamirel:
Using artificial neural networks for mapping of scienceand technology: A multi-self-organizing-maps approach. Scientometrics 51(1): 267-292 (2001) - [c11]Yannick Toussaint, Jean-Charles Lamirel:
Combining Symbolic and Numeric Techniques for DL Contents Classification and Analysis. IEA/AIE 2001: 253-258 - [c10]Jean-Charles Lamirel:
Using images for enhancing discovering task in a DL context. Storage and Retrieval for Media Databases 2001: 373-383 - 2000
- [c9]Jean-Charles Lamirel, Yannick Toussaint:
Combining symbolic and numeric techniques for DL contents classificationand analysis. DELOS 2000 - [c8]M. Mercedes Martínez, Carlos Enrique Cuesta Quintero, Pablo de la Fuente, Jean-Charles Lamirel:
Integración de Colecciones Heterogéneas en Bibliotecas Digitales. JBIDI 2000 - [c7]Jean-Charles Lamirel, Jacques Ducloy, Hager Kammoun:
A self organizing map (SOM) extended model for information discovery in a digital library context. MDM/KDD 2000: 60-66 - [c6]Jean-Charles Lamirel, Jacques Ducloy, Gérald Oster:
Adaptative browsing for information discovery in an iconographic context. RIAO 2000: 1657-1675 - [c5]Jean-Charles Lamirel, Jacques Ducloy, Hager Kammoun:
Some Basics of a Self Organizing Map (SOM) Extended Model for Information Discovery in a Digital Library Context. Rough Sets and Current Trends in Computing 2000: 399-403 - [c4]Jean-Charles Lamirel, Jacques Ducloy, Hager Kammoun:
Topographic Combination of Images and Text for Information Discovery in a Digital Library Context. SBBD 2000: 232-246
1990 – 1999
- 1995
- [b1]Jean-Charles Lamirel:
Application d'une approche symbolico-connexionniste pour la conception d'un système documentaire hautement interactif. Henri Poincaré University, Nancy, France, 1995 - 1994
- [c3]Jean-Charles Lamirel, Marion Créhange:
Application of a Symbolico-Connectionist Approach for the Design of a Highly Interactive Documentary Database Interrogation System with On-Line Learning Capabilities. CIKM 1994: 155-163 - [c2]Jacques Ducloy, Jean-Charles Lamirel, Emmanuel Nauer:
A Workbench for Bibliographic or Factual Data Handling. CODATA 1994: 63-70 - 1991
- [c1]Jacques Ducloy, Luc Grivel, Jean-Charles Lamirel, Xavier Polanco, Laurent Schmitt:
INIST experience in hyper-document building from bibliographic databases. RIAO 1991: 25-44
Coauthor Index
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last updated on 2024-12-04 20:12 CET by the dblp team
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