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Sebastian Lubos
Sebastian Lubos
Institute of Software Technology, Graz University of Technology
Bestätigte E-Mail-Adresse bei ist.tugraz.at - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
82023
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
52024
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
52022
An overview of video recommender systems: state-of-the-art and research issues
S Lubos, A Felfernig, M Tautschnig
Frontiers in big Data 6, 1281614, 2023
42023
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
32023
Perfect Match in Video Retrieval
S Lubos, M Rubino, C Tautschnig, M Tautschnig, B Wen, K Schoeffmann, ...
International Conference on Multimedia Modeling, 634-639, 2023
32023
Sports Recommender Systems: Overview and Research Issues
A Felfernig, M Wundara, TNT Tran, VM Le, S Lubos, S Polat-Erdeniz
arXiv preprint arXiv:2312.03785, 2023
22023
Analysis Operations for Constraint-based Recommender Systems
S Lubos, VM Le, A Felfernig, TNT Tran
Proceedings of the 17th ACM Conference on Recommender Systems, 709-714, 2023
22023
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics 1
S Polat Erdeniz, D Kramer, M Schrempf, PP Rainer, A Felfernig, TNT Tran, ...
dHealth 2023, 20-25, 2023
22023
LLM-generated Explanations for Recommender Systems
S Lubos, TNT Tran, A Felfernig, S Polat Erdeniz, VM Le
Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation …, 2024
12024
Employing Nudge Theory and Persuasive Principles with Explainable AI in Clinical Decision Support
SP Erdeniz, TNT Tran, A Felfernig, S Lubos, M Schrempf, D Kramer, ...
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
12023
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems
S Lubos, TNT Tran, SP Erdeniz, ME Mansi, A Felfernig, M Wundara, ...
arXiv preprint arXiv:2308.16708, 2023
12023
Conjunctive Query Based Constraint Solving for Feature Model Configuration
A Felfernig, VM Le, S Lubos
Conference on Information Technology and its Applications, 357-367, 2023
12023
Specifying Configurable Videos with Feature Models.
S Lubos, A Felfernig, VM Le
ConfWS, 22-28, 2023
12023
Improving Recommender Systems with Large Language Models
S Lubos
Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation …, 2024
2024
Evaluating Performance and Trends in Interactive Video Retrieval: Insights from the 12th VBS Competition
L Vadicamo, R Arnold, W Bailer, F Carrara, C Gurrin, N Hezel, X Li, ...
IEEE Access, 2024
2024
Sports recommender systems: overview and research directions
A Felfernig, M Wundara, TNT Tran, VM Le, S Lubos, S Polat-Erdeniz
Journal of Intelligent Information Systems, 1-40, 2024
2024
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
2023
Solving Constraint Satisfaction Problems with Database Queries: An Overview.
A Felfernig, VM Le, A Haag, S Lubos
ConfWS, 29-33, 2023
2023
Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver
B Ritz, A Felfernig, VM Le, S Lubos
arXiv preprint arXiv:2310.02658, 2023
2023
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