Demirović, E., & Musliu, N. (2017). MaxSAT-based large neighborhood search for high school timetabling. Computers and Operations Research, 78, 172–180. https://doi.org/10.1016/j.cor.2016.08.004 ( reposiTUm)

Musliu, N., & Winter, F. (2017). A Hybrid Approach for the Sudoku Problem: Using Constraint Programming in Iterated Local Search. IEEE Intelligent Systems, 32(2), 52–62. https://doi.org/10.1109/mis.2017.29 ( reposiTUm)

Abseher, M., Musliu, N., & Woltran, S. (2017). Improving the Efficiency of Dynamic Programming on Tree Decompositions via Machine Learning. Journal of Artificial Intelligence Research, 58, 829–858. https://doi.org/10.1613/jair.5312 ( reposiTUm)

Bonutti, A., Ceschia, S., De Cesco, F., Musliu, N., & Schaerf, A. (2017). Modeling and solving a real-life multi-skill shift design problem. Annals of Operations Research, 252(2), 365–382. https://doi.org/10.1007/s10479-016-2175-7 ( reposiTUm)

Widl, M., & Musliu, N. (2014). The break scheduling problem: complexity results and practical algorithms. Memetic Computing, 6(2), 97–112. https://doi.org/10.1007/s12293-014-0131-0 ( reposiTUm)

Musliu, N., Schutt, A., & Stuckey, P. J. (2018). Solver Independent Rotating Workforce Scheduling. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research (pp. 429–445). Springer. https://doi.org/10.1007/978-3-319-93031-2_31 ( reposiTUm)

Kletzander, L., & Musliu, N. (2017). A Multi-stage Simulated Annealing Algorithm for the Torpedo Scheduling Problem. In Integration of AI and OR Techniques in Constraint Programming (pp. 344–358). Lecture Notes in Computer Science (LNCS) / Springer. https://doi.org/10.1007/978-3-319-59776-8_28 ( reposiTUm)

Abseher, M., Musliu, N., & Woltran, S. (2017). htd - A Free, Open-Source Framework for (Customized) Tree Decompositions and Beyond. In D. Salvagnin & M. Lombardi (Eds.), Integration of AI and OR Techniques in Constraint Programming (pp. 376–386). Lecture Notes in Computer Science / Springer. https://doi.org/10.1007/978-3-319-59776-8_30 ( reposiTUm)

Erkinger, C., & Musliu, N. (2017). Personnel Scheduling as Satisfiability Modulo Theories. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia. ijcai.org. https://doi.org/10.24963/ijcai.2017/86 ( reposiTUm)

Abseher, M., Gebser, M., Musliu, N., Schaub, T., & Woltran, S. (2015). Shift Design with Answer Set Programming. In D. Inclezan & M. Maratea (Eds.), 8th Workshop on Answer Set Programming and Other Computing Paradigms, ASPOCP 2015 (p. 13). http://hdl.handle.net/20.500.12708/56218 ( reposiTUm)

Abseher, M., Gebser, M., Musliu, N., Schaub, T., & Woltran, S. (2015). Shift Design with Answer Set Programming. In F. Calimeri, G. Ianni, & M. Truszczynski (Eds.), Logic Programming and Nonmonotonic Reasoning (pp. 32–39). Springer. https://doi.org/10.1007/978-3-319-23264-5_4 ( reposiTUm)

Dusberger, F., Abseher, M., Musliu, N., & Woltran, S. (2015). Improving the Efficiency of Dynamic Programming on Tree Decompositions via Machine Learning. In Q. Yang & M. Wooldridge (Eds.), Proceedings of IJCAI 2015, the 24th International Joint Conference on Artificial Intelligence (pp. 275–282). AAAI Press. http://hdl.handle.net/20.500.12708/56206 ( reposiTUm)

Demirovic, E., & Musliu, N. (2014). Modeling High School Timetabling as PartialWeighted maxSAT. In The Proceedings of 4th Workshop on Logic and Search (a SAT / ICLP workshop at FLoC 2014) (p. 15). http://hdl.handle.net/20.500.12708/55981 ( reposiTUm)

Pihera, J., & Musliu, N. (2014). Application of Machine Learning to Algorithm Selection for TSP. In 26th IEEE International Conference on Tools with Artificial Intelligence (pp. 47–54). http://hdl.handle.net/20.500.12708/55982 ( reposiTUm)

Bonutti, A., De Cesco, F., Musliu, N., & Schaerf, A. (2014). Modeling and Solving a Real-Life Multi-Skill Shift Design Problem. In Proceedings of the 10th International Conference of the Practice and Theory of Automated Timetabling (p. 3). http://hdl.handle.net/20.500.12708/55984 ( reposiTUm)

Demirovic, E., & Musliu, N. (2014). Solving High School Timetabling with Satisfiability Modulo Theories. In Proceedings of the 10th International Conference of the Practice and Theory of Automated Timetabling (p. 25). http://hdl.handle.net/20.500.12708/55983 ( reposiTUm)

Bucar, D., Bessler, S., Musliu, N., & Grønbæk, J. (2013). Scheduling of electric vehicle charging operations. In Proceedings of MISTA 2013- Multidisciplinary International Scheduling Conference: Theory and Applications (pp. 1–13). http://hdl.handle.net/20.500.12708/55080 ( reposiTUm)

Musliu, N. (2013). Applying Machine Learning for Solver Selection in Scheduling. In Proceedings of the 10th Metaheuristic International Conference (MIC 2013) (pp. 240–242). http://hdl.handle.net/20.500.12708/55072 ( reposiTUm)

Musliu, N., & Schwengerer, M. (2013). Algorithm Selection for the Graph Coloring Problem. In Learning and Intelligent Optimization, 7th International Conference, LION 7 (pp. 389–403). Srringer. http://hdl.handle.net/20.500.12708/55073 ( reposiTUm)

Hammerl, T., Musliu, N., & Schafhauser, W. (2015). Metaheuristic Algorithms and Tree Decomposition. In J. Kacprzyk & W. Pedrycz (Eds.), Springer Handbook of Computational Intelligence (pp. 1255–1270). Springer. https://doi.org/10.1007/978-3-662-43505-2_64 ( reposiTUm)

Rasku, J., Musliu, N., & Kärkkäinen, T. (2014). Automating the Parameter Selection in VRP: An Off-line Parameter Tuning Tool Comparison. In Modeling, Simulation and Optimization for Science and Technology. Computational Methods in Applied Sciences, Volume 34 (pp. 191–209). Springer Netherlands. http://hdl.handle.net/20.500.12708/28570 ( reposiTUm)

Di Gaspero, L., Gärtner, J., Musliu, N., Schaerf, A., Schafhauser, W., & Slany, W. (2013). Automated Shift Design and Break Scheduling. In Automated Scheduling and Planning, Studies in Computational Intelligence Volume 505 (pp. 109–127). Springer. http://hdl.handle.net/20.500.12708/28216 ( reposiTUm)

Musliu, N. (2014). Scheduling Problems: Case Studies and Solution Techniques. International Conference on Automated Planning and Scheduling (ICAPS), Delft, Netherlands (the). http://hdl.handle.net/20.500.12708/86010 ( reposiTUm)

Musliu, N. (2014). Automated Employee Scheduling. SWORDS 2014 - Szeged WORkshop on Discrete Structures, Szeged, Hungary. http://hdl.handle.net/20.500.12708/86011 ( reposiTUm)