Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Give us feedback
Search and explore
Search
Explore ORBilu
Open Science
Open Science
Open Access
Research Data Management
Definitions
OS Working group
Webinars
Statistics
Help
Your ORBilu journey: new or leaving UL
User Guide
FAQ
Publication list
Document types
Reporting
Training
ORCID
About
About ORBilu
Deposit Mandate
ORBilu team
Impact and visibility
About statistics
About metrics
OAI-PMH
Project history
Legal Information
Data protection
Legal notices
Add a publication
Back
Home
Learning-based Test Input Prioritization for Machine Learning Systems - 2025
Download
Doctoral thesis (Dissertations and theses)
Learning-based Test Input Prioritization for Machine Learning Systems
DANG, Xueqi
2025
Permalink
https://hdl.handle.net/10993/64739
Files (1)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
2024_PhD_Thesis__Xueqi_Dang_.pdf
Author postprint (2.46 MB)
Download
All documents in ORBilu are protected by a
user license
.
Send to
RIS
BibTex
APA
Chicago
Permalink
X
Linkedin
copy to clipboard
copied
Details
Disciplines :
Computer science
Author, co-author :
DANG, Xueqi
;
University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal
Language :
English
Title :
Learning-based Test Input Prioritization for Machine Learning Systems
Defense date :
08 April 2025
Institution :
Unilu - University of Luxembourg [SnT [Faculty of Science, Technology and Medicine]], Luxembourg, Luxembourg
Degree :
DOCTEUR DE L’UNIVERSITÉ DU LUXEMBOURG EN INFORMATIQUE
Jury member :
LE TRAON, Yves
;
University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
PAPADAKIS, Mike
;
University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal
CORDY, Maxime
;
University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal
PERROUIN, Gilles;
UNamur - University of Namur
JAHANGIROVA, Gunel;
Kings College London
Available on ORBilu :
since 15 April 2025
Statistics
Number of views
182 (15 by Unilu)
Number of downloads
377 (11 by Unilu)
More statistics
Bibliography
Similar publications
Contact ORBilu