| 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 | 19 | 2023 |
| 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 |
| Leveraging llms for the quality assurance of software requirements S Lubos, A Felfernig, TNT Tran, D Garber, M El Mansi, SP Erdeniz, VM Le 2024 IEEE 32nd International Requirements Engineering Conference (RE), 389-397, 2024 | 3 | 2024 |
| Analysis Operations On The Run: Feature Model Analysis in Constraint-based Recommender Systems S Lubos, A Felfernig, VM Le, TNT Tran, D Benavides, JA Zamudio, ... Proceedings of the 27th ACM International Systems and Software Product Line …, 2023 | 3 | 2023 |
| Collaborative Recommendation of Search Heuristics For Constraint Solvers. D Garber, T Burgstaller, A Felfernig, VM Le, S Lubos, T Tran, SP Erdeniz ConfWS, 38-44, 2023 | 1 | 2023 |
| Responsible Configuration Using LLM-based Sustainability-Aware Explanations S Lubos, A Felfernig, L Hotz, TNT Tran, S Polat-Erdeniz, VM Le, D Garber, ... Configuration (ConfWS 2024) co-located with the 30th, 68, 2024 | | 2024 |
| An extensive comparison of preprocessing methods in the context of configuration space learning D Garber, A Felfernig, VM Le, T Burgstaller, M El-Mansi Configuration (ConfWS 2024) co-located with the 30th, 81, 2024 | | 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 |
| Optimization Space Learning: A Lightweight, Noniterative Technique for Compiler Autotuning T Burgstaller, D Garber, VM Le, A Felfernig Proceedings of the 28th ACM International Systems and Software Product Line …, 2024 | | 2024 |
