1. Learning Driving Behavior By Timed Syntactic Pattern Recognition

    Verwer, SE., de Weerdt, MM. & Witteveen, C., 2011, Proceedings of the International Joint Conference on Artificial Intelligence. Walsh, T. (ed.). American Association for Artificial Intelligence (AAAI), p. 1529-1534 6 p.

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

  2. Learning Deterministic Finite Automata from Innite Alphabets

    Pellegrino, N., Hammerschmidt, C., Verwer, S. & Lin, Q., 2016, Proceedings of The 13th International Conference on Grammatical Inference: The JMLR Workshop and Conference, The Sequence PredictIction ChallengE (SPiCe). Verwer, S., van Zaanen, M. & Smetsers, R. (eds.). JMLR, Vol. 57. p. 69-72 5 p. (JMLR: Workshop and Conference Proceedings).

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

  3. Learning Decision Trees with Flexible Constraints and Objectives Using Integer Optimization

    Verwer, S. & Zhang, Y., 2017, Integration of AI and OR Techniques in Constraint Programming: CPAIOR 2017. Salvagnin, D. & Lombardi, M. (eds.). Cham: Springer, p. 94-103 10 p. (Lecture Notes in Computer Science; vol. 10335).

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

  4. Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: An Industrial Case

    Bueno, M. L. P., Hommersom, A., Lucas, P. J. F., Verwer, S. & Linard, A., 2016, Proceedings of the Eighth International Conference on Probabilistic Graphical Models : The JMLR Workshop and Conference PGM 2016. Antonucci, A., Corani, G. & de Campos, C. P. (eds.). JMLR, Vol. 52. p. 50-61 12 p. (JMLR: Workshop and Conference Proceedings).

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

  5. 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

  6. 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

  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. Identifying an automaton model for timed data (extended abstract)

    Verwer, SE., de Weerdt, MM. & Witteveen, C., 2006, Proceedings of the Belgium-Dutch Conference on Artificial Intelligence (BNAIC). Schobbens, P-Y., Vanhoof, W. & Schwanen, G. (eds.). BNVKI, p. 439-440 2 p.

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

  9. Identifying an automaton model for timed data

    Verwer, SE., de Weerdt, MM. & Witteveen, C., 2006, Proceedings of the Annual Machine Learning Conference of Belgium and the Netherlands (Benelearn). Saeys, Y., Tsiporkova, E., Baets, B. D. & van de Peer, Y. (eds.). Benelearn, p. 57-64 8 p.

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

  10. Human in the Loop: Interactive Passive Automata Learning via Evidence-Driven State-Merging Algorithms

    Hammerschmidt, C. A., State, R. & Verwer, S., 2017, ArXiv Preprint. Vol. abs/1707.09430.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

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