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An extensive comparison of preprocessing methods in the context of configuration space learning
Garber D., Felfernig A., Le V., Burgstaller T., El Mansi M.
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), 26th International Workshop on Configuration, 81-90, (CEUR Workshop Proceedings)
Active Model Learning of Git Version Control System
Muskardin E., Burgstaller T., Tappler M., Aichernig B.
Proceedings - 2024 IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2024, 2024 IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2024, 78-82, (Proceedings - 2024 IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2024)
Optimization Space Learning: A Lightweight, Noniterative Technique for Compiler Autotuning
Burgstaller T., Garber D., Le V., Felfernig A.
SPLC 2024 - 28th ACM International Systems and Software Product Line Conference, Proceedings, 28th ACM International Systems and Software Product Line Conference, 36 - 46, (ACM International Conference Proceeding Series)
Collaborative Recommendation of Search Heuristics For Constraint Solvers
Garber D., Burgstaller T., Felfernig A., Le V., Lubos S., Tran T., Polat Erdeniz S.
, 38-44
FMTESTING: A FEATUREIDE Plug-in for Automated Feature Model Analysis and Diagnosis
Burgstaller T., Le V., Tran T., Felfernig A.
ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings, 26th European Conference on Artificial Intelligence , 3190 - 3195, (Frontiers in Artificial Intelligence and Applications; vol. 372)
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics
Polat Erdeniz S., Kramer D., Schrempf M., Rainer P., Felfernig A., Tran T., Burgstaller T., Lubos S.
Studies in Health Technology and Informatics, Vol. 301, 20-25
Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare
Erdeniz S., Schrempf M., Kramer D., Rainer P., Felfernig A., Tran T., Burgstaller T., Lubos S.
Artificial Intelligence in Medicine - 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Proceedings, 21st International Conference on Artificial Intelligence in Medicine, 114-119, (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13897 LNAI)