1. Article › Scientific › Peer-reviewed
  2. 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

  3. 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

  4. 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

  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. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. Conference contribution › Scientific › Not peer-reviewed
  13. Anomaly Detection in a Digital Video Broadcasting System Using Timed Automata

    Liu, X., Lin, Q., Verwer, S. & Jarnikov, D., 24 May 2017, ArXiv Preprint.

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

  14. 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

  15. Learning Pairwise Disjoint Simple Languages from Positive Examples

    Linard, A., Smetsers, R., Vaandrager, FW., Waqas, U., van Pinxten, J. & Verwer, S., 6 Jun 2017, ArXiv Preprint. 4 p.

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

  16. Conference contribution › Scientific › Peer-reviewed
  17. A data-driven behavior generation algorithm in car-following scenarios

    Zhang, Y., Lin, Q., Wang, J., Verwer, S. & Dolan, J. M., 2018, Dynamics of Vehicles on Roads and Tracks: Proceedings of the 25th International Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2017) . Spiryagin, M., Gordon, T., Cole, C. & McSweeney, T. (eds.). Leiden: CRC Press, Vol. 1. p. 1-2 2 p.

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

  18. 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/Report/Conference proceedingConference contributionScientificpeer-review

  19. An Experience Report on Applying Passive Learning in a Large-Scale Payment Company

    Wieman, R., Finavaro Aniche, M., Lobbezoo, W., Verwer, S. & van Deursen, A., 2017, Proceedings - 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017. Los Alamitos, CA: IEEE Computer Society, p. 564-573 10 p.

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

  20. Behavioral Clustering of Non-Stationary IP Flow Record Data

    Hammerschmidt, C., Marchal, S., State, R. & Verwer, S., Nov 2016, 12th International Conference on Network and Service Management CNSM 2016. Piscataway, NJ: IEEE, p. 253-257 5 p.

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

  21. 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/Report/Conference proceedingConference contributionScientificpeer-review

  22. Car-following Behavior Model Learning Using Timed Automata

    Zhang, Y., Lin, Q., Wang, J. & Verwer, S., Jul 2017, IFAC-PapersOnLine. Dochain, D., Henrion, D. & Peaucelle, D. (eds.). Elsevier, p. 2353-2358 6 p. (IFAC-PapersOnLine; vol. 50, no. 1).

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

  23. 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/Report/Conference proceedingConference contributionScientificpeer-review

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