Álvaro Serra-Gómez, Eduardo Montijano, Wendelin Böhmer, Javier Alonso-Mora (2023), Active Classification of Moving Targets With Learned Control Policies, In IEEE Robotics and Automation Letters Volume 8 p.3717-3724.
Nicolas Schwind, Emir Demirović, Katsumi Inoue, Jean Marie Lagniez (2023), Algorithms for partially robust team formation, In Autonomous Agents and Multi-Agent Systems Volume 37.
Yanyan Xu, Panchamy Krishnakumari, Neil Yorke-Smith, Serge Hoogendoorn (2023), Augmenting Ridership Data with Social Media Data to Analyse the Long-term Effect of COVID-19 on Public Transport, In 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023, IEEE.
Monika Grewal, Jan Wiersma, Henrike Westerveld, Peter A.N. Bosman, Tanja Alderliesten (2023), Automatic landmark correspondence detection in medical images with an application to deformable image registration, In Journal of Medical Imaging Volume 10.
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.
Q. Yang, M.T.J. Spaan (2023), CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration, In The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23).
Anna Lukina (2023), Combining Runtime Monitoring and Machine Learning with Human Feedback, Brian Williams, Yiling Chen, Jennifer Neville (Eds.), In AAAI-23 Special Programs, IAAI-23, EAAI-23, Student Papers and Demonstrations p.15448-15448, American Association for Artificial Intelligence (AAAI).
Ali Nadi, Neil Yorke-Smith, Maaike Snelder, J. W.C. Van Lint, Lóránt Tavasszy (2023), Data-driven preference-based routing and scheduling for activity-based freight transport modelling, In Transportation Research Part C: Emerging Technologies Volume 158.
Dirk van Bokkem, Max van den Hemel, Sebastijan Dumančić, Neil Yorke-Smith (2023), Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation, Brian Williams, Yiling Chen, Jennifer Neville (Eds.), In AAAI-23 Special Programs, IAAI-23, EAAI-23, Student Papers and Demonstrations p.15731-15737, American Association for Artificial Intelligence (AAAI).
A. Dushatskiy (2023), Expensive Optimization with Model-Based Evolutionary Algorithms Applied to Medical Image Segmentation Using Deep Learning, PhD Thesis Delft University of Technology.