1. 2005
  2. Timed automata for behavorial pattern recognition

    Verwer, SE., de Weerdt, MM. & Witteveen, C., 2005, BNAIC 2005 - Proceedings of the seventeenth Belgium-Netherlands conference on artificial intelligence. Verbeeck, K., Tuyls, K., Nowé, A., Manderick, B. & Kuijpers, B. (eds.). Brussels, Belgium: KVAB, p. 291-296 6 p.

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

  3. Timed automata for behavioral pattern recognition

    Verwer, S., De Weerdt, M. & Witteveen, C., 1 Dec 2005, In : Belgian/Netherlands Artificial Intelligence Conference. p. 291-296 6 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  4. 2006
  5. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  6. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  7. On the identifiability in the limit of timed automata

    Verwer, SE., de Weerdt, MM. & Witteveen, C., 2006, Proceedings of the Grammatical inference workshop on open problems and new directions. p. -

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

  8. 2008
  9. Efficiently learning simple timed automata

    Verwer, SE., de Weerdt, MM. & Witteveen, C., 2008, Induction of Process Models (IPM 2008). Bridewell, W., Calders, T., de Medeiros, A. K., Kramer, S., Pechenizkiy, M. & Todorovski, L. (eds.). Antwerp: University of Antwerp, p. 61-68 8 p.

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

  10. Efficiently learning timed models from observations

    Verwer, SE., de Weerdt, MM. & Witteveen, C., 2008, Benelearn 2008. Wehenkel, L., Geurts, P. & Maree, R. (eds.). Luik: University of Liege, p. 75-76 2 p.

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

  11. Polynomial distinguishability of timed automata

    Verwer, SE., de Weerdt, MM. & Witteveen, C., 2008, ICGI. Clark, A., Coste, F. & Miclet, L. (eds.). Springer, p. 238-251 14 p. (Lecture Notes in Artificial Intelligence; vol. 5278).

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

  12. 2009
  13. One-Clock Deterministic Timed Automata Are Efficiently Identifiable in the Limit

    Verwer, SE., de Weerdt, MM. & Witteveen, C., 2009, Third International Conference, LATA 2009, Tarragona, Spain, April 2-8, 2009. Proceedings. Dediu, AH., Ionescu, AM. & Martin-Vide, C. (eds.). Berlin: Springer, p. 740-751 12 p. (Lecture Notes in Computer Science; vol. 5457).

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

  14. Using a satisfiability solver to identify deterministic finite state automata

    Heule, MJH. & Verwer, SE., 2009, BNAIC 2009 Benelux Conference on Artificial Intelligence. Calders, T., Tuyls, K. & Pechenizkiy, M. (eds.). Eindhoven: BNAIC, p. 91-98 8 p.

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

  15. 2010
  16. A likelihood-ratio test for identifying probabilistic deterministic real-time automata from positive data

    Verwer, SE., de Weerdt, MM. & Witteveen, C., 2010, Grammatical Inference: Theoretical Results and Applications. Sempere, JM. & García, P. (eds.). Berlin: Springer, p. 203-216 14 p. (Lecture Notes in Computer Science; vol. 6339).

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

  17. Efficient Identification of Timed Automata: Theory and Practice

    Verwer, SE., 2010, Delft. 252 p.

    Research output: ThesisDissertation (TU Delft)

  18. Exact DFA Identification Using SAT Solvers

    Heule, MJH. & Verwer, SE., 2010, Grammatical Inference: Theoretical Results and Applications 10th International Colloquium, ICGI 2010. Sempere, JM. & García, P. (eds.). Berlin: Springer, p. 66-79 14 p. (Lecture Notes in Computer Science; vol. 6339).

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

  19. 2011
  20. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  21. The efficiency of identifying timed automata and the power of clocks

    Verwer, SE., de Weerdt, MM. & Witteveen, C., 2011, In : Information and Computation. 209, 3, p. 606-625 20 p.

    Research output: Contribution to journalArticleScientificpeer-review

  22. 2014
  23. Bigger is not always better: on the quality of hypotheses in active automata learning

    Smetsers, R., Volpato, M., Vaandrager, FW. & Verwer, SE., 2014, Proceedings of the 12th International Conference of Grammatical Inference. Clark, A., Kanazawa, M. & Yoshinaka, R. (eds.). p. 167-181 15 p. (JMLR Workshop and Conference Proceedings; vol. 34).

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

  24. 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

  25. 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

  26. Regular inference as vertex coloring

    Florêncio, CC. & Verwer, SE., 2014, In : Theoretical Computer Science. 558, p. 18-34 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

  27. 2016
  28. Efficient Learning of Communication Profiles from IP Flow Records

    Hammerschmidt, C., Marchal, S., State, R., Pellegrino, N. & Verwer, S., 2016, Proceedings - 2016 IEEE 41st Conference on Local Computer Networks, LCN 2016. Kellenberger, P. (ed.). Los Alamitos, CA: IEEE, p. 1-4 4 p.

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

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