Tamim Burgstaller

According to our database, Tamim Burgstaller authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Knowledge-based recommender systems: overview and research directions.

Mathias Uta, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran, Damian Garber, Sebastian Lubos, Tamim Burgstaller

Frontiers Big Data, 2024

Optimization Space Learning: A Lightweight, Noniterative Technique for Compiler Autotuning.

Tamim Burgstaller, Damian Garber, Viet-Man Le, Alexander Felfernig

Proceedings of the 28th ACM International Systems and Software Product Line Conference, 2024

Active Model Learning of Git Version Control System.

Edi Muskardin, Tamim Burgstaller, Martin Tappler, Bernhard K. Aichernig

Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2024, 2024

An extensive comparison of preprocessing methods in the context of configuration space learning.

Damian Garber, Alexander Felfernig, Viet-Man Le, Tamim Burgstaller, Merfat El Mansi

Proceedings of the 26th International Workshop on Configuration (ConfWS 2024) co-located with the 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024

2023

Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics.

Seda Polat Erdeniz, Diether Kramer, Michael Schrempf, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos

Proceedings of the dHealth 2023, 2023

Collaborative Recommendation of Search Heuristics For Constraint Solvers.

Damian Garber, Tamim Burgstaller, Alexander Felfernig, Viet-Man Le, Sebastian Lubos, Trang Tran, Seda Polat Erdeniz

Proceedings of the 25th International Workshop on Configuration (ConfWS 2023), 2023

Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare.

Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos

Proceedings of the Artificial Intelligence in Medicine, 2023