R. Baumgartner, S.E. Verwer (2023), Learning state machines from data streams: A generic strategy and an improved heuristic, Francois Coste Coste, Faissal Ouardi, Guillaume Rabusseau (Eds.), In Proceedings of Machine Learning Research Volume 217.

Daniël Vos, Sicco Verwer (2023), Optimal Decision Tree Policies for Markov Decision Processes, Edith Elkind (Eds.), In Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 p.5457-5465, International Joint Conferences on Artificial Intelligence (IJCAI).

Azqa Nadeem, Sicco Verwer (2023), SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting, Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas (Eds.), In Machine Learning and Knowledge Discovery in Databases. p.157-173, Springer.

Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer (2023), SoK: Explainable Machine Learning for Computer Security Applications, Lisa O’Conner (Eds.), In Proceedings of the 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P) p.221-240, IEEE.

Yingqian Zhang, Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Robbert Reijnen, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, More Authors (2023), The first AI4TSP competition: Learning to solve stochastic routing problems, In Artificial Intelligence Volume 319.

A. Nadeem, S.E. Verwer, Stephen Moskal, Shanchieh Jay Yang (2022), Alert-driven Attack Graph Generation using S-PDFA, In IEEE Transactions on Dependable and Secure Computing Volume 19 p.731-746.

Ligia Maria Moreira Zorello, Laurens Bliek, Sebastian Troia, Tias Guns, Sicco Verwer, Guido Maier (2022), Baseband-Function Placement with Multi-Task Traffic Prediction for 5G Radio Access Networks, In IEEE Transactions on Network and Service Management Volume 19 p.5104 - 5119.

A. Nadeem, Vera Rimmer, Joosen Wouter, S.E. Verwer (2022), Intelligent Malware Defenses, In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) p.217-253, Springer.

Clinton Cao, Agathe Blaise, Sicco Verwer, Filippo Rebecchi (2022), Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster, In Proceedings of the 17th International Conference on Availability, Reliability and Security, ARES 2022, ACM.

R. Baumgartner, S.E. Verwer (2022), Learning state machines via efficient hashing of future traces.