Yihuan Zhang, Qin Lin, Jun Wang, Sicco Verwer (2017), Car-following Behavior Model Learning Using Timed Automata, D. Dochain, D. Henrion, D. Peaucelle (Eds.), In IFAC-PapersOnLine p.2353-2358, Elsevier.

Thijs Veugen, Jeroen Doumen, Zekeriya Erkin, Nino Pellegrino, Sicco Verwer, Jos Weber (2017), Improved privacy of dynamic group services, In Eurasip Journal on Information Security Volume 2017 p.1-9.

Sicco Verwer, Yingqian Zhang (2017), Learning Decision Trees with Flexible Constraints and Objectives Using Integer Optimization, D. Salvagnin, M. Lombardi (Eds.), In Integration of AI and OR Techniques in Constraint Programming p.94-103, Springer.

Nino Pellegrino, Qin Lin, Christian Hammerschmidt, Sicco Verwer (2017), Learning behavioral fingerprints from Netflows using Timed Automata, P. Chemouil, E. Monteiro, M. Charalambides, E. Madeira, P. Simoes, S. Secci, L.P. Gaspary, C.R.P. dos Santos (Eds.), In 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) p.308-316, IEEE.

Jun-Qiang Wang, Fei-Yi Yan, Peng-Hao Cui, Tian Xia, Fu-Dong Cui, Sicco Verwer (2017), Modeling and analysis of non-homogenous fabrication/assembly systems with multiple failure modes, In International Journal of Advanced Manufacturing Technology Volume 94 (2018) p.309–3325.

Christian A. Hammerschmidt, Sebastian Garcia, Sicco Verwer, Radu State (2017), Reliable Machine Learning for Networking: Key Issues and Approaches, In 2017 IEEE 42nd conference on Local Computer Networks, LCN 2017 p.167-170, IEEE.

Sicco Verwer, Christian A. Hammerschmidt (2017), flexfringe: A Passive Automaton Learning Package, L. O'Conner (Eds.), In 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017 p.638-642, IEEE.

Christian Hammerschmidt, Samuel Marchal, Radu State, Sicco Verwer (2016), Behavioral Clustering of Non-Stationary IP Flow Record Data, In 12th International Conference on Network and Service Management CNSM 2016 p.253-257, IEEE.

Christian Hammerschmidt, Samuel Marchal, Radu State, Nino Pellegrino, Sicco Verwer (2016), Efficient Learning of Communication Profiles from IP Flow Records, Patrick Kellenberger (Eds.), In Proceedings - 2016 IEEE 41st Conference on Local Computer Networks, LCN 2016 p.1-4, IEEE.

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.