Philippe Lenca
Biographic Data
| ID | 1801837 |
|---|---|
| NAME | Philippe Lenca |
| GIVEN NAMES | Philippe |
| FAMILY NAME | Lenca |
| SIGNATURE | LENCA P |
| AFFILIATIONS | Centre National de la Recherche Scientifique |
| ORCID | 0000-0001-5014-2347 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models
The findings in this study suggest that weak coherence play a key role in classification. No significant differences in the use of "I" and filled pauses were found between groups using a statistical test, but an explainability model showed its different contributions. The contribution of each linguistic feature to the classification by patient group provided deeper insight into linguistic manifestations of each patient group and their subtle diff…
An empirical characterization of community structures in complex networks using a bivariate map of quality metrics
Community structure
Discovering community structure in complex networks is a mature field since a tremendous number of community detection methods have been introduced in the literature. Nevertheless, it is still very challenging for practitioners to determine which method would be suitable to get insights into the structural information of the networks they study. Many recent efforts have been devoted to investigating various quality scores of the community structu…
Community structure
Discovering community structure in complex networks is a mature field since a tremendous number of community detection methods have been introduced in the literature. Nevertheless, it is still very challenging for practitioners to determine which method would be suitable to get insights into the structural information of the networks they study. Many recent efforts have been devoted to investigating various quality scores of the community structu…
Community structure
Discovering community structure in complex networks is a mature field since a tremendous number of community detection methods have been introduced in the literature. Nevertheless, it is still very challenging for practitioners to determine which method would be suitable to get insights into the structural information of the networks they study. Many recent efforts have been devoted to investigating various quality scores of the community structu…
An empirical characterization of community structures in complex networks using a bivariate map of quality metrics
Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models
The findings in this study suggest that weak coherence play a key role in classification. No significant differences in the use of "I" and filled pauses were found between groups using a statistical test, but an explainability model showed its different contributions. The contribution of each linguistic feature to the classification by patient group provided deeper insight into linguistic manifestations of each patient group and their subtle diff…
Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Opinion Dynamics and Social Influence (2 works) · Bioinformatics and Genomic Networks (1 work) · Clique (1 work) · Community structure (1 work) · Complex network (1 work) · Data mining (1 work) · Data Visualization and Analytics (1 work) · Graph (1 work)