1. Conference contribution › Scientific › Peer-reviewed
  2. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  3. Vulnerability Detection on Mobile Applications Using State Machine Inference

    van der Lee, W. & Verwer, S., 2018, Proceedings - 3rd IEEE European Symposium on Security and Privacy Workshops, EUROS&PW 2018. Los Alamitos, CA: IEEE, p. 1-10 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  4. flexfringe: A Passive Automaton Learning Package

    Verwer, S. & Hammerschmidt, C. A., 2017, 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017. O'Conner, L. (ed.). Piscataway: IEEE, p. 638-642 5 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  5. Article › Scientific › Peer-reviewed
  6. Auction optimization using regression trees and linear models as integer programs

    Zhang, Y., Verwer, S. & Ye, Q. C., 2017, In : Artificial Intelligence. 244, p. 368-395 28 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Improved privacy of dynamic group services

    Veugen, T., Doumen, J., Erkin, Z., Pellegrino, N., Verwer, S. & Weber, J., 2017, In : Eurasip Journal on Information Security. 2017, 1, p. 1-9 9 p., 3.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Improving active Mealy machine learning for protocol conformance testing

    Aarts, F., Kuppens, H., Tretmans, J., Vaandrager, FW. & Verwer, SE., 2014, In : Machine Learning. 96, 1-2, p. 189-224 36 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Lane-Change Intention Estimation for Car-Following Control in Autonomous Driving

    Zhang, Y., Lin, Q., Wang, J., Verwer, S. & Dolan, J. M., 2018, In : IEEE Transactions on Intelligent Vehicles. 3, 3, p. 276-286 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. 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

  11. Merging partially labelled trees: hardness and a declarative programming solution

    Labarre, A. & Verwer, SE., 2014, In : IEEE - ACM Transactions on Computational Biology and Bioinformatics. 11, 2, p. 389-397 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. Modeling and analysis of non-homogenous fabrication/assembly systems with multiple failure modes

    Wang, J-Q., Yan, F-Y., Cui, P-H., Xia, T., Cui, F-D. & Verwer, S., 2017, In : International Journal of Advanced Manufacturing Technology. p. 1-17 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

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