Pascal Cuxac

发表

Characterization of the moduli of elasticity of an anisotropic rock using dynamic and static methods

J. Henry, F. Homand, E. Morel, 1993 .

AIL Active and Incremental Learning August 27 , 2012 , Montpellier , France ECAI 2012 – 20 TH European Conference on Artificial Intelligence

V. Lemaire, Pascal Cuxac, J. Lamirel, 2012 .

Eﬃcient supervised and semi-supervised approaches for aﬄiations disambiguation

Pascal Cuxac, Valerie Bonvallot, Jean-Charles Lamirel, 2015 .

Capturing Frontier Research in Grant Proposals and Initial Analysis of the Comparison between Model vs . Peer Review

D. Holste, Thomas Scherngell, E. Schiebel, 2012 .

Optimizing text classification through efficient feature selection based on quality metric

Pascal Cuxac, A. Chivukula, K. Hajlaoui, 2015, Journal of Intelligent Information Systems.

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

Pascal Cuxac, Nicolas Dugué, Jean-Charles Lamirel, 2021, Scientometrics.

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

Yue Chen, Zeyuan Liu, Pascal Cuxac, 2020, Scientometrics.

Nicolas Dugué, Zeyuan Liu, Yue Chen, 2020, Scientometrics.

New efficient clustering quality indexes

Jean-Charles Lamirel, Pascal Cuxac, Nicolas Dugué, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A concept for inferring ‘frontier research’ in grant proposals

D. Holste, Thomas Scherngell, E. Schiebel, 2013, Scientometrics.

A Concept for Inferring 'Frontier Research' in Research Project Proposals

Claire François, Edgar Schiebel, Pascal Cuxac, 2011 .

Mining Research Topics Evolving Over Time Using a Diachronic Multi-source Approach

Jean-Charles Lamirel, Pascal Cuxac, Ghada Safi, 2010, 2010 IEEE International Conference on Data Mining Workshops.

A New Feature Selection and Feature Contrasting Approach Based on Quality Metric: Application to Efficient Classification of Complex Textual Data

Jean-Charles Lamirel, Aneesh Sreevallabh Chivukula, Kafil Hajlaoui, 2013, PAKDD Workshops.

Feature selection and complex networks methods for an analysis of collaboration evolution in science: an application to the ISTEX digital library

Jean-Charles Lamirel, Pascal Cuxac, Nicolas Dugué, 2015 .

Improving textual data classification and discrimination using an ad-hoc metric: Application to a famous text discrimination challenge

Pascal Cuxac, Jean-Charles Lamirel, 2014, 2014 4th International Symposium ISKO-Maghreb: Concepts and Tools for knowledge Management (ISKO-Maghreb).

Analysis of evolutions and interactions between science fields: the cooperation between feature selection and graph representation

Jean-Charles Lamirel, Pascal Cuxac, Pascal Cuxac, 2013 .

Enhancing Patent Expertise through Automatic Matching with Scientific Papers

Jean-Charles Lamirel, Claire François, Kafil Hajlaoui, 2012, Discovery Science.

New efficient clustering quality indexes

Pascal Cuxac, Nicolas Dugué, Jean-Charles Lamirel, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Diachronic'Explorer: Keep track of your clusters

Jean-Charles Lamirel, Pascal Cuxac, Nicolas Dugué, 2016, 2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS).

Performing and Visualizing Temporal Analysis of Large Text Data Issued for Open Sources: Past and Future Methods

Jean-Charles Lamirel, Pascal Cuxac, Nicolas Dugué, 2015, BDAS.

A New Incremental Growing Neural Gas Algorithm Based on Clusters Labeling Maximization: Application to Clustering of Heterogeneous Textual Data

Jean-Charles Lamirel, Pascal Cuxac, Zied Boulila, 2010, IEA/AIE.

Paving the way for next generation data-stream clustering: towards a unique and statistically valid cluster structure at any time step

Pascal Cuxac, Alain Lelu, Martine Cadot, 2011, Int. J. Data Min. Model. Manag..