1. 2019
  2. 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

  3. 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

  4. 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

  5. 2018
  6. 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

  7. 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

  8. 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

  9. TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems

    Lin, Q., Adepu, S., Verwer, S. & Mathur, A., 2018, ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security. New York: Association for Computing Machinery (ACM), p. 525-536 12 p.

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

  10. 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/Report/Conference proceedingConference contributionScientificpeer-review

  11. 2017
  12. Learning behavioral fingerprints from Netflows using Timed Automata

    Pellegrino, N., Lin, Q., Hammerschmidt, C. & Verwer, S., 24 Jul 2017, 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). Chemouil, P., Monteiro, E., Charalambides, M., Madeira, E., Simoes, P., Secci, S., Gaspary, L. P. & dos Santos, C. R. P. (eds.). IEEE, p. 308-316 9 p.

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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. Reliable Machine Learning for Networking: Key Issues and Approaches

    Hammerschmidt, C. A., Garcia, S., Verwer, S. & State, R., 2017, 2017 IEEE 42nd conference on Local Computer Networks, LCN 2017. IEEE, p. 167-170 4 p.

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

  23. 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/Report/Conference proceedingConference contributionScientificpeer-review

  24. 2016
  25. 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

  26. 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

  27. Flexible State-Merging for learning (P)DFAs in Python

    Hammerschmidt, C., Loos, B., State, R., Engel, T. & Verwer, S., 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. 154-159 6 p. (JMLR: Workshop and Conference Proceedings).

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

  28. 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

  29. 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

  30. Proceedings of the 13th International Conference on Grammatical Inference ICGI: JMLR Workshop and Conference Proceedings

    Verwer, S. (ed.), van Zaanen, M. (ed.) & Smetsers, R. (ed.), 2016, JMLR. 169 p. (JMLR: Workshop and Conference Proceedings)

    Research output: Book/ReportBook editingScientificpeer-review

  31. 2014
  32. 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

  33. 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

  34. 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

  35. 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

  36. 2011
  37. 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

  38. 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

  39. 2010
  40. 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

  41. Efficient Identification of Timed Automata: Theory and Practice

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

    Research output: ThesisDissertation (TU Delft)Scientific

  42. 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/Report/Conference proceedingConference contributionScientificpeer-review

  43. 2009
  44. 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/Report/Conference proceedingConference contributionScientificpeer-review

  45. 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/Report/Conference proceedingConference contributionScientificpeer-review

  46. 2008
  47. 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/Report/Conference proceedingConference contributionScientificpeer-review

  48. 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/Report/Conference proceedingConference contributionScientificpeer-review

  49. 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/Report/Conference proceedingConference contributionScientificpeer-review

  50. 2006
  51. 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

  52. 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

  53. 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/Report/Conference proceedingConference contributionScientificpeer-review

  54. 2005
  55. 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/Report/Conference proceedingConference contributionScientificpeer-review

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