Christian Hammerschmidt, Benjamin Loos, Radu State, Thomas Engel, Sicco Verwer (2016), Flexible State-Merging for learning (P)DFAs in Python, S. Verwer, M. van Zaanen, R. Smetsers (Eds.), In Proceedings of The 13th International Conference on Grammatical Inference Volume 57 p.154-159, JMLR.

Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Sicco Verwer, Alexis Linard (2016), Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: An Industrial Case, A. Antonucci, G. Corani, C.P. de Campos (Eds.), In Proceedings of the Eighth International Conference on Probabilistic Graphical Models Volume 52 p.50-61, JMLR.

Nino Pellegrino, Christian Hammerschmidt, Sicco Verwer, Qin Lin (2016), Learning Deterministic Finite Automata from Innite Alphabets, S. Verwer, M. van Zaanen, R. Smetsers (Eds.), In Proceedings of The 13th International Conference on Grammatical Inference Volume 57 p.69-72, JMLR.

Sicco Verwer, Menno van Zaanen, Rick Smetsers (Eds.) (2016), Proceedings of the 13th International Conference on Grammatical Inference ICGI: JMLR Workshop and Conference Proceedings , JMLR.

R Smetsers, M Volpato, FW Vaandrager, SE Verwer (2014), Bigger is not always better: on the quality of hypotheses in active automata learning, A Clark, M Kanazawa, R Yoshinaka (Eds.), In Proceedings of the 12th International Conference of Grammatical Inference p.167-181.

F Aarts, H Kuppens, J Tretmans, FW Vaandrager, SE Verwer (2014), Improving active Mealy machine learning for protocol conformance testing, In Machine Learning Volume 96 p.189-224.

A Labarre, SE Verwer (2014), Merging partially labelled trees: hardness and a declarative programming solution, In IEEE - ACM Transactions on Computational Biology and Bioinformatics Volume 11 p.389-397.

CC Florêncio, SE Verwer (2014), Regular inference as vertex coloring, In Theoretical Computer Science Volume 558 p.18-34.

SE Verwer, MM de Weerdt, C Witteveen (2011), Learning Driving Behavior By Timed Syntactic Pattern Recognition, T Walsh (Eds.), In Proceedings of the International Joint Conference on Artificial Intelligence p.1529-1534, American Association for Artificial Intelligence (AAAI).

SE Verwer, MM de Weerdt, C Witteveen (2011), The efficiency of identifying timed automata and the power of clocks, In Information and Computation Volume 209 p.606-625.