ProfessorsProfessors of Université de NantesFabrice E. Guillet

Fabrice E. Guillet

Université de Nantes

H-index: 25

Europe-France

About Fabrice E. Guillet

Fabrice E. Guillet, With an exceptional h-index of 25 and a recent h-index of 10 (since 2020), a distinguished researcher at Université de Nantes, specializes in the field of Data Science : Frequent Patterns Mining, Knowledge and Ontology Management, Knowledge Quality and Interestingness, Knowledge vis.

His recent articles reflect a diverse array of research interests and contributions to the field:

How to visualize a potential aromatic map of a product in the odor space: the SketchOscent approach

SketchOscent: towards a knowledge-based model and interactive visualisation of the odour space

Core-concept-seeded LDA for ontology learning

Traitement avancé des narratives iconographiques, quelques suggestions

Towards a term clustering framework for modular ontology learning

Fabrice E. Guillet Information

University	Université de Nantes
Position	Full Professor Computer Science LS2N CNRS UMR6004 Polytech Nantes
Citations(all)	2361
Citations(since 2020)	525
Cited By	2054
hIndex(all)	25
hIndex(since 2020)	10
i10Index(all)	48
i10Index(since 2020)	11
Email	Access Email
University Profile Page	Université de Nantes
Google Scholar	View Google Scholar Profile

Fabrice E. Guillet Skills & Research Interests

Data Science : Frequent Patterns Mining

Knowledge and Ontology Management

Knowledge Quality and Interestingness

Knowledge vis

Top articles of Fabrice E. Guillet

Title	Journal	Author(s)	Publication Date
How to visualize a potential aromatic map of a product in the odor space: the SketchOscent approach	Available at SSRN 4550323	Fabrice Guillet Angélique Villière	2023/8/20
SketchOscent: towards a knowledge-based model and interactive visualisation of the odour space		Angélique Villière Catherine Fillonneau Carole Prost Fabrice Guillet	2022/2/23
Core-concept-seeded LDA for ontology learning	Procedia Computer Science	Hao Huang Mounira Harzallah Fabrice Guillet Ziwei Xu	2021/1/1
Traitement avancé des narratives iconographiques, quelques suggestions		Gian Piero Zarri C Marinica Fabrice Guillet Florent Laroche Julien Velcin	2021/1/26
Towards a term clustering framework for modular ontology learning		Ziwei Xu Mounira Harzallah Fabrice Guillet Ryutaro Ichise	2020