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Publication search results
found 78 matches
- 2023
- Tahani Fennir, Bart Lamiroy, Jean-Charles Lamirel:
Using GANs for Domain Adaptive High Resolution Synthetic Document Generation. ICDAR Workshops (1) 2023: 49-61 - 2022
- 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
- Nicolas Dugué, Jean-Charles Lamirel, Yue Chen:
Evaluating clustering quality using features salience: a promising approach. Neural Comput. Appl. 33(19): 12939-12956 (2021) - Yue Chen, Jean-Charles Lamirel:
Editorial preface to the Zeyuan Liu memorial issue. Scientometrics 126(7): 6133-6134 (2021) - 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) - 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 - 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
- Jean-Charles Lamirel, Marie Cottrell, Madalina Olteanu, Bruno Lévy:
Editorial. Neural Comput. Appl. 32(24): 17973-17975 (2020) - 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) - 2019
- 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 - Madalina Olteanu, Jean-Charles Lamirel:
When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation Patterns. WSOM+ 2019: 140-149 - 2018
- 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) - 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
- 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 - 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
- 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 - Jean-Charles Lamirel:
Reliable Clustering Indexes. IEA/AIE 2016: 103-114 - Jean-Charles Lamirel, Nicolas Dugué, Pascal Cuxac:
New efficient clustering quality indexes. IJCNN 2016: 3649-3657 - Nicolas Dugué, Jean-Charles Lamirel, Pascal Cuxac:
Diachronic'Explorer: Keep track of your clusters. RCIS 2016: 1-2 - Jean-Charles Lamirel:
Reliable Clustering Quality Estimation from Low to High Dimensional Data. WSOM 2016: 95-105 - 2015
- 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) - 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) - Jean-Charles Lamirel:
New Metrics and Related Statistical Approaches for Efficient Mining in Very Large and Highly Multidimensional Databases. BDAS 2015: 3-20 - 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 - Jean-Charles Lamirel, Pascal Cuxac:
New Quality Indexes for Optimal Clustering Model Identification with High Dimensional Data. ICDM Workshops 2015: 855-862 - Jean-Charles Lamirel, Shadi Al Shehabi:
Feature Maximization Based Clustering Quality Evaluation: A Promising Approach. PAKDD Workshops 2015: 210-222 - 2014
- 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) - 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
- 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) - Pascal Cuxac, Jean-Charles Lamirel, Valerie Bonvallot:
Efficient supervised and semi-supervised approaches for affiliations disambiguation. Scientometrics 97(1): 47-58 (2013)
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