Laetitia Jourdan
researcher ORCID ID = 0000-0002-4170-6830
Facts
10 properties- Instance of
- human
- Date of birth
- 1976
- Occupation
- researcher
- Doctoral advisor
- El-Ghazali Talbi, Clarisse Dhaenens[4][5]
- Doctoral student
- Jean-Charles Boisson, Arnaud Liefooghe, Marie-Eléonore Kessaci[7][8][9]
- Maintained by WikiProject
- WikiProject Mathematics[12]
🏷️ Also known as
en Laetitia Jourdan
en L. Jourdan
🔖 Identifiers · 12
- ISNI
- 0000000377055897
- ORCID iD
- 0000-0002-4170-6830
- VIAF cluster ID
- 108096438
- Library of Congress authority ID
- no2010048296
- GND ID
- 1122992971
- ACM Digital Library author ID
- 81333489165
- DBLP author ID
- v/LaetitiaVermeulenJourdan
- Dimensions author ID
- 013721234133.96
- Google Scholar author ID
- HEUAUJkAAAAJ
- IdRef ID
- 076925161
- WorldCat Entities ID
- E39PBJm9fw8DrxtP6vRTPbWdQq
- ZbMATH author ID
- jourdan.laetitia
🔗 Connections
Affiliated with 9
National Center for Scientific Research,
École Centrale de Lille,
University of Lille,
Institut National de Recherche en Informatique et en Automatique,
Centre de Recherche en Informatique,
Centre de Recherche en Informatique, Signal et Automatique de Lille,
Computer Science Laboratory of Lille,
Inria research centre Lille - Nord Europe
+1 more
Author of 9
A Biclustering Method for Heterogeneous and Temporal Medical Data,
A comparative study of meta-heuristic algorithms for solving UAV path planning,
Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets,
Extraction and optimization of classification rules for temporal sequences: Application to hospital data,
Metaheuristics for data mining,
Metaheuristics for data mining: survey and opportunities for big data,
Survey and unification of local search techniques in metaheuristics for multi-objective combinatorial optimisation,
UAV path planning techniques: a survey
+1 more
← Authored by 9
A Biclustering Method for Heterogeneous and Temporal Medical Data,
A comparative study of meta-heuristic algorithms for solving UAV path planning,
Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets,
Extraction and optimization of classification rules for temporal sequences: Application to hospital data,
Metaheuristics for data mining,
Metaheuristics for data mining: survey and opportunities for big data,
Survey and unification of local search techniques in metaheuristics for multi-objective combinatorial optimisation,
UAV path planning techniques: a survey
+1 more
Press Enter · cited answer in seconds