F
Feryal Windal
Researcher at Institut supérieur d'électronique et du numérique
Publications - 14
Citations - 52
Feryal Windal is an academic researcher from Institut supérieur d'électronique et du numérique. The author has contributed to research in topics: Computer science & Pattern recognition (psychology). The author has an hindex of 3, co-authored 11 publications receiving 27 citations. Previous affiliations of Feryal Windal include university of lille & University of Valenciennes and Hainaut-Cambresis.
Papers
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Journal ArticleDOI
SHREC2020 track: Multi-domain protein shape retrieval challenge
Florent Langenfeld,Yuxu Peng,Yu-Kun Lai,Paul L. Rosin,Tunde Aderinwale,Genki Terashi,Charles Christoffer,Daisuke Kihara,Halim Benhabiles,Karim Hammoudi,Karim Hammoudi,Adnane Cabani,Feryal Windal,Mahmoud Melkemi,Mahmoud Melkemi,Andrea Giachetti,Stelios K. Mylonas,Apostolos Axenopoulos,Petros Daras,Ekpo Otu,Reyer Zwiggelaar,David Hunter,Yonghuai Liu,Matthieu Montes +23 more
TL;DR: Evaluated the performance of six shape comparison methods to distinguish between 588 multi-domain proteins and to recreate the evolutionary relationships at the proteinand species levels of the SCOPe database, suggesting that shape-only protein comparison is challenging for closely related proteins.
Proceedings ArticleDOI
Protein Shape Retrieval Contest
Florent Langenfeld,Apostolos Axenopoulos,Halim Benhabiles,Petros Daras,Andrea Giachetti,Xusi Han,Karim Hammoudi,Daisuke Kihara,Tuan Manh Lai,Haiguang Liu,Mahmoud Melkemi,Stelios K. Mylonas,Genki Terashi,Yufan Wang,Feryal Windal,Matthieu Montes +15 more
Proceedings ArticleDOI
Deep Learning based Detection of Hair Loss Levels from Facial Images
Halim Benhabiles,Karim Hammoudi,Ziheng Yang,Feryal Windal,Mahmoud Melkemi,Fadi Dornaika,Ignacio Arganda-Carreras +6 more
TL;DR: This paper investigates deep learning methods for detecting hairs loss levels by men from face images with the potential and the efficiency for medical, security and commercial applications.
Proceedings ArticleDOI
Towards a Model of Car Parking Assistance System Using Camera Networks: Slot Analysis and Communication Management
TL;DR: A model of car parking assistance system by particularly using camera networks is presented and a strategy is proposed in order to optimally communicate to the drivers the locations of the detected available parking slots.
Book ChapterDOI
A transfer learning exploited for indexing protein structures from 3D point clouds
TL;DR: Comparative study and performance evaluation show the efficiency and the potential of the proposed transfer learning-based methodology for indexing protein structures from associated 3D point clouds.