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Mathias Uta
Mathias Uta
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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
282022
Towards psychology-aware preference construction in recommender systems: Overview and research issues
M Atas, A Felfernig, S Polat-Erdeniz, A Popescu, TNT Tran, M Uta
Journal of Intelligent Information Systems 57, 467-489, 2021
282021
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
152021
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
152021
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
92021
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
32022
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
32022
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
32021
Towards machine learning based configuration
M Uta, A Felfernig
22nd International Configuration Workshop 25, 2020
32020
Constraint-aware recommendation of complex items
M Uta, A Felfernig, D Helic
Proceedings of the Joint KaRS & ComplexRec Workshop. CEUR-WS, 2021
22021
Towards Knowledge Infrastructure for Highly Variant Voltage Transmission Systems.
M Uta, A Felfernig
ConfWS, 109-118, 2018
22018
Configuring multiple instances with multi-configuration
A Felfernig, A Popescu, M Uta, VM Le, S Polat-Erdeniz, M Stettinger, ...
arXiv preprint arXiv:2109.09696, 2021
12021
Knowledge-based recommender systems: overview and research directions
M Uta, A Felfernig, VM Le, TNT Tran, D Garber, S Lubos, T Burgstaller
Frontiers in big Data 7, 1304439, 2024
2024
INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems
VM Le, A Felfernig, TNT Tran, M Uta
2024
Consistency-based merging of variability models
M Uta, A Felfernig, G Schenner, J Spöcklberger
arXiv preprint arXiv:2102.07643, 2021
2021
Towards psychology-aware preference construction in recommender systems: Overview and research issues
M üsl üm Atas, A Felfernig, S Polat-Erdeniz, A Popescu, TNT Tran, M Uta
2021
Conmerge–arbitration of constraint-based knowledge bases
M Uta, A Felfernig
Trends in Artificial Intelligence Theory and Applications. Artificial …, 2020
2020
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