Ligia Maria Moreira Zorello, Laurens Bliek, Sebastian Troia, Guido Maier, Sicco Verwer (2024), Black-box optimization for anticipated baseband-function placement in 5G networks, In Computer Networks Volume 245.

C.S. Cao, Simon Schneider, Nicolás E. Díaz Ferreyra, S.E. Verwer, A. Panichella, Riccardo Scandariato (2024), CATMA: Conformance Analysis Tool For Microservice Applications, In ACM/IEEE 46th International Conference on Software Engineering - Demonstrations, ACM/IEEE.

Daniël Vos, Sicco Verwer (2023), Adversarially Robust Decision Tree Relabeling, Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas (Eds.), In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings p.203-218, Springer.

Laurens Bliek, Arthur Guijt, Rickard Karlsson, Sicco Verwer, Mathijs de Weerdt (2023), Benchmarking surrogate-based optimisation algorithms on expensive black-box functions, In Applied Soft Computing Volume 147.

A. Nadeem, S.E. Verwer, Shanchieh Jay Yang (2023), Learning About the Adversary, Alexander Kott (Eds.), In Autonomous Intelligent Cyber Defense Agent (AICA) p.105-132, Springer.

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.