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FeatureNET: Diversity-driven Generation of Deep Learning Models
Ghamizi, Salah; Cordy, Maxime; Papadakis, Mike et al.
2020In International Conference on Software Engineering (ICSE)
Peer reviewed
 

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Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Security Design and Validation Research Group (SerVal)
Disciplines :
Computer science
Author, co-author :
Ghamizi, Salah ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
Cordy, Maxime  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Papadakis, Mike ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
Le Traon, Yves ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
FeatureNET: Diversity-driven Generation of Deep Learning Models
Publication date :
2020
Event name :
42nd International Conference on Software Engineering
Event date :
from 6-7-2020 to 11-7-2020
Audience :
International
Main work title :
International Conference on Software Engineering (ICSE)
Peer reviewed :
Peer reviewed
FnR Project :
FNR11686509 - Continuous Development With Mutation Analysis And Testing, 2017 (01/09/2018-31/08/2021) - Michail Papadakis
Name of the research project :
CODEMATES
Funders :
FNR - Fonds National de la Recherche [LU]
Available on ORBilu :
since 25 October 2020

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