TU Wien Informatics

Role

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once APIs for the new database have been released, everything will be up to date again.

  • Physician Scheduling During a Pandemic / T. Geibinger, L. Kletzander, M. Krainz, F. Mischek, N. Musliu, F. Winter / Talk: CPAIOR 2021 - 18th International Conference of Integration of Constraint Programming, Artificial Intelligence, and Operations Research, Wien; 2021-07-05 - 2021-07-08; in: "Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 18th International Conference, {CPAIOR} 2021, Vienna, Austria, July 5-8, 2021, Proceedings},", (2021), 456 - 465
  • Branch and Price for Bus Driver Scheduling with Complex Break Constraints / L. Kletzander, N. Musliu, P. Van Hentenryck / Talk: 35th AAAI 2021, virtual event; 2021-02-02 - 2021-02-09; in: "Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, {IAAI} 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, {EAAI} 2021, Virtual Event, February 2-9, 2021", (2021), 11853 - 11861
  • Instance space analysis for a personnel scheduling problem / L. Kletzander, N. Musliu, K. Smith-Miles / Annals of Mathematics and Artificial Intelligence, 89 (2021), 7; 617 - 637
  • Solving Large Real-Life Bus Driver Scheduling Problems with Complex Break Constraints / L. Kletzander, N. Musliu / Talk: ICAPS 2020 - International Conference on Automated Planning and Scheduling, Nancy, France; 2020-10-26 - 2020-10-30; in: "Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, Nancy, France, October 26-30, 2020", (2020), 421 - 430
  • Instance space analysis for a personnel scheduling problem / L. Kletzander, N. Musliu, K. Smith-Miles / Annals of Mathematics and Artificial Intelligence, 1 (2020), 1 - 21
  • Solving the general employee scheduling problem / L. Kletzander, N. Musliu / Computers & Operations Research, 113 (2020), 1 - 13
  • Instance Space Analysis for a Personnel Scheduling Problem / L. Kletzander, N. Musliu, K. Smith-Miles / Talk: IJCAI 2019 - DSO Workshop, Macao, China; 2019-08-11; in: "Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI} 2019", (2019), 1 - 8
  • Exact Methods for Extended Rotating Workforce Scheduling Problems / L. Kletzander, N. Musliu, J. Gärtner, J. Krennwallner, W. Schafhauser / Talk: ICAPS 2019 - 29th International Conference on Automated Planning and Scheduling, Berkeley, USA; 2019-07-10 - 2019-07-15; in: "Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, {ICAPS} 2018, Berkeley, CA, USA, July 11-15, 2019", AAAI Press, (2019), ISSN: 2334-0843; 519 - 527
  • Modelling and Solving the Minimum Shift Design Problem / L. Kletzander, N. Musliu / Talk: CPAIOR 2019 - 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence and Operations Research, Thessaloniki, Greece; 2019-06-04 - 2019-06-07; in: "Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 16th International Conference, {CPAIOR} 2019, Proceedings", Springer, 11494 (2019), ISBN: 978-3-030-19211-2; 391 - 408
  • Solving the Torpedo Scheduling Problem / L. Kletzander, N. Musliu, M. Geiger / Journal of Artificial Intelligence Research, 66 (2019), 1 - 32
  • Solving the General Employee Scheduling Problem / L. Kletzander, N. Musliu / Talk: PATAT - International Conference on the Practice and Theory of Auto­mated Timetabling, Wien; 2018-08-28 - 2018-08-31; in: "12th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2018", (2018), 1 - 36
  • A Multi-stage Simulated Annealing Algorithm for the Torpedo Scheduling Problem / L. Kletzander, N. Musliu / Talk: 14th International Conference on Integration of AI and OR Teniques (CPAIOR) 2017, Padua, Italien; 2017-06-05 - 2017-06-08; in: "ntegration of AI and OR Techniques in Constraint Programming - 14th International Conference, CPAIOR 2017", Lecture Notes in Computer Science (LNCS) / Springer, 10335 (2017), ISBN: 978-3-319-59775-1; 344 - 358