Qin Lin, Sicco Verwer, Robert Kooij, Aditya Mathur (2020), Using datasets from industrial control systems for cyber security research and education, Simin Nadjm-Tehrani (Eds.), In Critical Information Infrastructures Security - 14th International Conference, CRITIS 2019, Revised Selected Papers Volume 11777 p.122-133, Springer.

Sicco Verwer, Yingqian Zhang (2019), Learning optimal classification trees using a binary linear program formulation, In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence Volume 33 p.1625-1632, Association for the Advancement of Artificial Intelligence (AAAI).

Qin Lin, Yihuan Zhang, Sicco Verwer, Jun Wang (2019), MOHA: A Multi-Mode Hybrid Automaton Model for Learning Car-Following Behaviors, In IEEE Transactions on Intelligent Transportation Systems Volume 20 p.790-796.

Rowan Hoogervorst, Yingqian Zhang, Gamze Tillem, Zekeriya Erkin, Sicco Verwer (2019), Solving bin-packing problems under privacy preservation: Possibilities and trade-offs, In Information Sciences Volume 500 p.203-216.

Yihuan Zhang, Qin Lin, Jun Wang, Sicco Verwer, John M. Dolan (2018), A data-driven behavior generation algorithm in car-following scenarios, M Spiryagin, T.. Gordon, C. Cole, T. McSweeney (Eds.), In Dynamics of Vehicles on Roads and Tracks Volume 1 p.1-2, CRC Press.

Yihuan Zhang, Qin Lin, Jun Wang, Sicco Verwer, John M. Dolan (2018), Lane-Change Intention Estimation for Car-Following Control in Autonomous Driving, In IEEE Transactions on Intelligent Vehicles Volume 3 p.276-286.

Jason. S. Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak, Sicco Verwer (2018), Learning fuzzy decision trees using integer programming, In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) p.1-8, IEEE.

Qin Lin, Sridha Adepu, Sicco Verwer, Aditya Mathur (2018), TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems, In ASIACCS 2018 - Proceedings of the 2018 ACM Asia Conference on Computer and Communications Security p.525-536, Association for Computing Machinery (ACM).

Wesley van der Lee, Sicco Verwer (2018), Vulnerability Detection on Mobile Applications Using State Machine Inference, In Proceedings - 3rd IEEE European Symposium on Security and Privacy Workshops, EUROS&PW 2018 p.1-10, IEEE.

Rick Wieman, Mauricio Finavaro Aniche, Willem Lobbezoo, Sicco Verwer, Arie van Deursen (2017), An Experience Report on Applying Passive Learning in a Large-Scale Payment Company, In Proceedings - 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017 p.564-573, IEEE.