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, Ana Paiva, Abhik Roychoudhury, Margaret Storey (Eds.), In ACM/IEEE 46th International Conference on Software Engineering - Demonstrations p.59-63, ACM/IEEE.

R. Baumgartner, S.E. Verwer (2024), PDFA Distillation via String Probability Queries.

Willem van Jaarsveld, Laurens Bliek, Mathijs de Weerdt, Stella Kapodistria, Verus Pronk, Peter Verleijsdonk, Simon Voorberg, Alp Akçay, Paulo da Costa, Rik Eshuis, Uzay Kaymak, Geert Jan van Houtum, Sicco Verwer, Yingqian Zhang (2024), Real-Time Data-Driven Maintenance Logistics: A Public-Private Collaboration, Boudewijn R. Haverkort, Aldert de Jongste, Pieter van Kuilenburg, Ruben D. Vromans (Eds.), In Commit2Data, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing.

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.