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Publication search results
found 29 matches
- 2024
- Pascal Cuxac:
La fouille de textes en IST : les outils Istex-TDM. INFORSID 2024: 164-167 - 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) - 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 - 2018
- Pascal Cuxac, Nicolas Kieffer:
Prise en compte de la structure des documents pour une indexation performante. EGC 2018: 365-366 - 2017
- Lyne Da Sylva, Pascal Cuxac:
Introduction. Document Numérique 20(2-3): 7-9 (2017) - 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, 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 - 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, 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 - 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) - Marianne Hörlesberger, Ivana Roche, Dominique Besagni, Thomas Scherngell, Claire François, Pascal Cuxac, Edgar Schiebel, Michel Zitt, Dirk Holste:
Erratum to: A concept for inferring 'frontier research' in grant proposals. Scientometrics 100(2): 609-610 (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) - Marianne Hörlesberger, Ivana Roche, Dominique Besagni, Thomas Scherngell, Claire François, Pascal Cuxac, Edgar Schiebel, Michel Zitt, Dirk Holste:
A concept for inferring 'frontier research' in grant proposals. Scientometrics 97(2): 129-148 (2013) - 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
- Kafil Hajlaoui, Pascal Cuxac, Jean-Charles Lamirel, Claire François:
Enhancing Patent Expertise through Automatic Matching with Scientific Papers. Discovery Science 2012: 299-312 - 2011
- Pascal Cuxac, Alain Lelu, Martine Cadot:
Paving the way for next generation data-stream clustering: towards a unique and statistically valid cluster structure at any time step. Int. J. Data Min. Model. Manag. 3(4): 341-360 (2011) - Jean-Charles Lamirel, Raghvendra Mall, Pascal Cuxac, Ghada Safi:
Variations to incremental growing neural gas algorithm based on label maximization. IJCNN 2011: 956-965 - Jean-Charles Lamirel, Pascal Cuxac, Raghvendra Mall, Ghada Safi:
A New Efficient and Unbiased Approach for Clustering Quality Evaluation. PAKDD Workshops 2011: 209-220 - 2010
- 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 - 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 - 2008
- Alain Lelu, Martine Cadot, Pascal Cuxac:
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends. CoRR abs/0811.0340 (2008) - Alain Lelu, Pascal Cuxac, Joel Johansson:
Classification dynamique d'un flux documentaire : une évaluation statique préalable de l'algorithme GERMEN. CoRR abs/0811.0602 (2008) - 2006
- Martine Cadot, Pascal Cuxac, Claire François:
Règles d'association avec une prémisse composée : mesure du gain d'information. EGC 2006: 599-600 - 2005
- Pascal Cuxac, Martine Cadot, Claire François:
Analyse comparative de classifications : apport des règles d'association floues. EGC 2005: 519-530
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