| 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 | 43 | 2022 |
| 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 | 34 | 2021 |
| 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 | 31 | 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 | 23 | 2021 |
| 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 | 17 | 2024 |
| 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 | 10 | 2021 |
| 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 | 9 | 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 | 9 | 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 | 7 | 2021 |
| Towards machine learning based configuration M Uta, A Felfernig 22nd International Configuration Workshop 25, 2020 | 4 | 2020 |
| INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems VM Le, A Felfernig, TNT Tran, M Uta Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 10616 …, 2024 | 3 | 2024 |
| Constraint-aware recommendation of complex items M Uta, A Felfernig, D Helic Proceedings of the Joint KaRS & ComplexRec Workshop. CEUR-WS, 2021 | 3 | 2021 |
| Towards Knowledge Infrastructure for Highly Variant Voltage Transmission Systems. M Uta, A Felfernig ConfWS, 109-118, 2018 | 2 | 2018 |
| 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 | 1 | 2021 |
| Consistency-based merging of variability models M Uta, A Felfernig, G Schenner, J Spöcklberger arXiv preprint arXiv:2102.07643, 2021 | 1 | 2021 |
| Learning Constraint Orderings for Direct Diagnosis M Uta, VM Le, A Felfernig, D Helic | | 2024 |
| Semantics-Preserving Merging of Feature Models M Uta, VM Le, A Felfernig, D Garber, G Schenner, TNT Tran Configuration (ConfWS 2024) co-located with the 30th, 74, 2024 | | 2024 |
| 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 |
