1. 2018
  2. Learning fuzzy decision trees using integer programming

    Rhuggenaath, J. S., Zhang, Y., Akcay, A., Kaymak, U. & Verwer, S., 1 Feb 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Piscataway: IEEE, p. 1-8 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  3. 2019
  4. Learning optimal classification trees using a binary linear program formulation

    Verwer, S. & Zhang, Y., 2019, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence . Palo ALto: Association for the Advancement of Artificial Intelligence (AAAI), Vol. 33. p. 1625-1632 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  5. MOHA: A Multi-Mode Hybrid Automaton Model for Learning Car-Following Behaviors

    Lin, Q., Zhang, Y., Verwer, S. & Wang, J., 2019, In : IEEE Transactions on Intelligent Transportation Systems. 20, 2, p. 790-796 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Solving bin-packing problems under privacy preservation: Possibilities and trade-offs

    Hoogervorst, R., Zhang, Y., Tillem, G., Erkin, Z. & Verwer, S., 2019, In : Information Sciences. 500, p. 203-216 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. 2020
  8. Using datasets from industrial control systems for cyber security research and education

    Lin, Q., Verwer, S., Kooij, R. & Mathur, A., 2020, Critical Information Infrastructures Security - 14th International Conference, CRITIS 2019, Revised Selected Papers. Nadjm-Tehrani, S. (ed.). Springer, p. 122-133 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11777 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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