Viet-Man LE

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Alexander FelfernigProfessor of Computer Science, Graz University of Technology, AustriaAdresse e-mail validée de ist.tugraz.at
Dr. techn. Thi Ngoc Trang TranPostdoc, Institute of Software Technology, Graz University of TechnologyAdresse e-mail validée de ist.tugraz.at
Muesluem (Müslüm) AtasMobile Software Development, FH JOANNEUMAdresse e-mail validée de fh-joanneum.at
Mathias UtaSiemens Energy AG, Graz University of TechnologyAdresse e-mail validée de student.tugraz.at
Dipl.-Ing. Dr. Martin Stettinger, BSc Ing...Senior Researcher, Graz University of TechnologyAdresse e-mail validée de ist.tugraz.at
Seda Polat Erdeniz, Ph.D.TU Graz, Software Technology InstituteAdresse e-mail validée de ist.tugraz.at
Sebastian LubosInstitute of Software Technology, Graz University of TechnologyAdresse e-mail validée de ist.tugraz.at
Ralph Samer, Ph.D.Postdoctoral researcher, Institute of Software Technology, Graz University of TechnologyAdresse e-mail validée de ist.tugraz.at
David BenavidesFull Professor, University of SevilleAdresse e-mail validée de us.es
Andrei PopescuTU GrazAdresse e-mail validée de ist.tugraz.at
Denis HelicGraz University of Technology, Modul University ViennaAdresse e-mail validée de tugraz.at
Cristian Vidal SilvaUniversidad de TalcaAdresse e-mail validée de alum.us.es
Damian GarberPHD Student, Graz University of TechnologyAdresse e-mail validée de ist.tugraz.at
José A. GalindoUniversity of SevilleAdresse e-mail validée de us.es
JA ZamudioDoctoral Researcher, CISPA Helmholtz Center for Information SecurityAdresse e-mail validée de cispa.de
Luong Tran ThanhHue UniversityAdresse e-mail validée de hueuni.edu.vn
Thu Giang MaiMaster of Mathematical InformaticsAdresse e-mail validée de hce.edu.vn

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Viet-Man LE

PhD student, University Assistant at Institute for Software Technology, Graz University of

Adresse e-mail validée de ist.tugraz.at

Configuration Systems Model-based Diagnosis Machine Learning Recommender Systems


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
An overview of machine learning techniques in constraint solving A Popescu, S Polat-Erdeniz, A Felfernig, M Uta, M Atas, VM Le, K Pilsl, ... Journal of Intelligent Information Systems 58 (1), 91-118, 2022	28	2022
Towards social choice-based explanations in group recommender systems TNT Tran, M Atas, A Felfernig, VM Le, R Samer, M Stettinger Proceedings of the 27th ACM Conference on User Modeling, Adaptation and …, 2019	26	2019
An overview of recommender systems and machine learning in feature modeling and configuration A Felfernig, VM Le, A Popescu, M Uta, TNT Tran, M Atas Proceedings of the 15th International Working Conference on Variability …, 2021	15	2021
DirectDebug: Automated testing and debugging of feature models VM Le, A Felfernig, M Uta, D Benavides, J Galindo, TNT Tran 2021 IEEE/ACM 43rd International Conference on Software Engineering: New …, 2021	14	2021
Evaluating recommender systems in feature model configuration M Uta, A Felfernig, VM Le, A Popescu, TNT Tran, D Helic Proceedings of the 25th ACM International Systems and Software Product Line …, 2021	9	2021
User interfaces for counteracting decision manipulation in group recommender systems TNT Tran, A Felfernig, VM Le, M Atas, M Stettinger, R Samer Adjunct Publication of the 27th Conference on User Modeling, Adaptation and …, 2019	9	2019
FASTDIAGP: An Algorithm for Parallelized Direct Diagnosis VM Le, CV Silva, A Felfernig, D Benavides, J Galindo, TNT Tran Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 6442-6449, 2023	5	2023
Do users appreciate explanations of recommendations? An analysis in the movie domain TNT Tran, VM Le, M Atas, A Felfernig, M Stettinger, A Popescu Proceedings of the 15th ACM Conference on Recommender Systems, 645-650, 2021	5	2021
Consistency-based integration of multi-stakeholder recommender systems with feature model configuration VM Le, TNT Tran, A Felfernig Proceedings of the 26th ACM International Systems and Software Product Line …, 2022	4	2022
Social Choice-based Explanations: An Approach to Enhancing Fairness and Consensus Aspects TNT Tran, M Atas, MV Le, R Samer, M Stettinger Journal of Universal Computer Science 26 (3), 402-431, 2020	4	2020
WipeOutR: automated redundancy detection for feature models VM Le, A Felfernig, M Uta, TNT Tran, CV Silva Proceedings of the 26th ACM International Systems and Software Product Line …, 2022	3	2022
Accuracy-and consistency-aware recommendation of configurations M Uta, A Felfernig, D Helic, VM Le Proceedings of the 26th ACM International Systems and Software Product Line …, 2022	3	2022
DirectDebug: A software package for the automated testing and debugging of feature models VM Le, A Felfernig, TNT Tran, M Atas, M Uta, D Benavides, J Galindo Software Impacts 9, 100085, 2021	3	2021
Group recommendation techniques for feature modeling and configuration VM Le 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021	3	2021
Recommender Systems Beyond E-Commerce: Presence and Future A Felfernig, TNT Tran, VM Le Consumer Happiness: Multiple Perspectives, 203-230, 2021	3	2021
A Conversion of Feature Models into an Executable Representation in Microsoft Excel VM Le, TNT Tran, A Felfernig 25th International Symposium on Methodologies for Intelligent Systems (ISMIS …, 2020	3	2020
Recommender Systems for Sustainability: Overview and Research Issues A Felfernig, M Wundara, TNT Tran, S Polat-Erdeniz, S Lubos, M El-Mansi, ... Frontiers in Big Data 6, 1284511, 2023	2	2023
An overview of consensus models for group decision-making and group recommender systems TNT Tran, A Felfernig, VM Le User Modeling and User-Adapted Interaction, 1-59, 2023	2	2023
User Needs for Explanations of Recommendations: In-depth Analyses of the Role of Item Domain and Personal Characteristics TNT Tran, A Felfernig, VM Le, TMN Chau, TG Mai Proceedings of the 31st ACM Conference on User Modeling, Adaptation and …, 2023	2	2023
Knowledge-based configuration of videos using feature models S Lubos, M Tautschnig, A Felfernig, VM Le Proceedings of the 26th ACM International Systems and Software Product Line …, 2022	2	2022

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