Geibinger, T., Mischek, F., & Musliu, N. (2024). Investigating constraint programming and hybrid methods for real world industrial test laboratory scheduling. Journal of Scheduling. https://doi.org/10.1007/s10951-024-00821-0 ( reposiTUm)

Eiter, T., Geibinger, T., Musliu, N., Oetsch, J., Skočovský, P., & Stepanova, D. (2024). Answer-Set Programming for Lexicographical Makespan Optimisation in Parallel Machine Scheduling - ADDENDUM. Theory and Practice of Logic Programming, 24(2). https://doi.org/10.1017/S1471068424000061 ( reposiTUm)

Eiter, T., Geibinger, T., Higuera Ruiz, N. N., Musliu, N., Oetsch, J., Pfliegler, D., & Stepanova, D. (2024). Adaptive large-neighbourhood search for optimisation in answer-set programming. Artificial Intelligence, 337, Article 104230. https://doi.org/10.1016/j.artint.2024.104230 ( reposiTUm)

EITER, T., GEIBINGER, T., MUSLIU, N., OETSCH, J., SKOČOVSKÝ, P., & STEPANOVA, D. (2023). Answer-Set Programming for Lexicographical Makespan Optimisation in Parallel Machine Scheduling. Theory and Practice of Logic Programming, 23(6), 1281–1306. https://doi.org/10.1017/S1471068423000017 ( reposiTUm)

Danzinger, P., Geibinger, T., Janneau, D., Mischek, F., Musliu, N., & Poschalko, C. (2022). A System for Automated Industrial Test Laboratory Scheduling. ACM Transactions on Intelligent Systems and Technology. https://doi.org/10.1145/3546871 ( reposiTUm)

Fichte, J. K., Geibinger, T., Hecher, M., & Schlögel, M. (2024). Parallel Empirical Evaluations: Resilience despite Concurrency. In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024) (pp. 8004–8012). AAAI Press. https://doi.org/10.1609/aaai.v38i8.28638 ( reposiTUm)

Geibinger, T., Kaminski, T., & Oetsch, J. (2024). Explanations for Guess-and-Check ASP Encodings Using an LLM (Extended Abstract). In Program TAASP. Workshop on Trends and Applications of Answer Set Programming (TAASP 2024), Klagenfurt, Austria. http://hdl.handle.net/20.500.12708/208540 ( reposiTUm)

Eiter, T., & Geibinger, T. (2023). Explaining Answer-Set Programs with Abstract Constraint Atoms (Extended Abstract). In Proceedings of the 2nd Workshop on Challenges and Adequacy Conditions for Logics in the New Age of Artificial Intelligence (ACLAI 2023) (pp. 1–6). ( reposiTUm)

Geibinger, T. (2023). Explainable Answer-set Programming. In Proceedings ICLP 2023 (pp. 423–429). https://doi.org/10.4204/EPTCS.385.52 ( reposiTUm)

Eiter, T., Geibinger, T., Higuera, N., & Oetsch, J. (2023). A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering. In E. Elkind (Ed.), Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (pp. 3668–3676). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2023/408 ( reposiTUm)

Eiter, T., Geibinger, T., & Oetsch, J. (2023). Contrastive Explanations for Answer-Set Programs. In Logics in Artificial Intelligence - 18th European Conference, JELIA 2023, Dresden, Germany, September 20-22, 2023, Proceedings (pp. 73–89). Springer. https://doi.org/10.1007/978-3-031-43619-2_6 ( reposiTUm)

Eiter, T., & Geibinger, T. (2023). Explaining Answer-Set Programs with Abstract Constraint Atoms. In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23) (pp. 3193–3202). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2023/356 ( reposiTUm)

Eiter, T., Geibinger, T., Higuera, N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). ALASPO: An Adaptive Large-Neighbourhood ASP Optimiser (Extended Abstract). In Proceedings of the 5th Workshop on Trends and Applications of Answer Set Programming. 5th Workshop on Trends and Applications of Answer Set Programming, Vienna, Austria. ( reposiTUm)

Eiter, T., Geibinger, T., Higuera Ruiz, N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). Large-Neighbourhood Search for Optimisation in Answer-Set Solving (Extended Abstract). In Proceedings of the 38th International Conference on Logic Programming. 38th International Conference on Logic Programming, Haifa, Israel. Open Publishing Association. http://hdl.handle.net/20.500.12708/139851 ( reposiTUm)

Eiter, T., Geibinger, T., Higuera Ruiz, N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). Large-Neighbourhood Search for Optimisation in Answer-Set Solving. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (pp. 5616–5625). AAAI Press. https://doi.org/10.1609/aaai.v36i5.20502 ( reposiTUm)

Eiter, T., Geibinger, T., Higuera, N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). ALASPO: An Adaptive Large-Neighbourhood ASP Optimiser. In G. Kern-Isberner, G. Lackemeyer, & T. Meyer (Eds.), Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning — Applications and Systems (pp. 565–569). IJCAI Organization. https://doi.org/10.24963/kr.2022/58 ( reposiTUm)

Eiter, T., Geibinger, T., Gisbrecht, A., Higuera Ruiz, N. N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). An Open Challenge for Exact Job Scheduling with Reticle Batching in Photolithography. In KEPS 2022 Workshop on Knowledge Engineering for Planning and Scheduling. Workshop on Knowledge Engineering for Planning and Scheduling, Singapore. http://hdl.handle.net/20.500.12708/139763 ( reposiTUm)

Geibinger, T., Kletzander, L., Krainz, M., Mischek, F., Musliu, N., & Winter, F. (2021). Physician Scheduling During a Pandemic. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research (pp. 456–465). https://doi.org/10.1007/978-3-030-78230-6_29 ( reposiTUm)

Eiter, T., Geibinger, T., Musliu, N., Oetsch, J., Skočovský, P., & Stepanova, D. (2021). Answer-Set Programming for Lexicographical Makespan Optimisation in Parallel Machine Scheduling. In Proceedings of the Eighteenth International Conference on Principles of Knowledge Representation and Reasoning. KR 2021 - 18th International Conference on Principles of Knowledge Representation and Reasoning, virtual event, Unknown. https://doi.org/10.24963/kr.2021/27 ( reposiTUm)

Geibinger, T., Mischek, F., & Musliu, N. (2021). Constraint Logic Programming for Real-World Test Laboratory Scheduling. In 35th AAAI Conference on Artificial Intelligence (pp. 6358–6366). http://hdl.handle.net/20.500.12708/58591 ( reposiTUm)

Geibinger, T., & Tompits, H. (2020). Sequent-Type Calculi for Systems of Nonmonotonic Paraconsistent Logics. In Electronic Proceedings in Theoretical Computer Science (pp. 178–191). Electronic Proceedings in Theoretical Computer Science (EPTCS). https://doi.org/10.4204/eptcs.325.23 ( reposiTUm)

Danzinger, P., Geibinger, T., Mischek, F., & Musliu, N. (2020). Solving the Test Laboratory Scheduling Problem with Variable Task Grouping. In Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling (pp. 357–365). http://hdl.handle.net/20.500.12708/58340 ( reposiTUm)

Geibinger, T., & Tompits, H. (2019). Characterising Relativised Strong Equivalence with Projection for Non-ground Answer-Set Programs. In F. Calimeri, N. Leone, & M. Manna (Eds.), Logics in Artificial Intelligence: 16th European Conference, JELIA 2019 (pp. 542–558). Springer. https://doi.org/10.1007/978-3-030-19570-0_36 ( reposiTUm)

Geibinger, T., Mischek, F., & Musliu, N. (2019). Investigating Constraint Programming for Real World Industrial Test Laboratory Scheduling. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research (pp. 304–319). Springer. https://doi.org/10.1007/978-3-030-19212-9_20 ( reposiTUm)

Geibinger, T. (2020). Investigating constraint programming and hybrid answer-set solving for industrial test laboratory scheduling [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.73541 ( reposiTUm)