Robert Wenink, Martin van der Eijk, Neil Yorke-Smith, Peter Wellens (2023), Multi-fidelity Kriging extrapolation together with CFD for the design of the cross-section of a falling lifeboat, In International Shipbuilding Progress Volume 70 p.115-150.

Timo M. Deist, Monika Grewal, Frank J.W.M. Dankers, Tanja Alderliesten, Peter A.N. Bosman (2023), Multi-objective Learning Using HV Maximization, Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, Iryna Yevseyeva (Eds.), In Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Proceedings p.103-117, Springer.

J.G.M. van der Linden, M.M. de Weerdt, E. Demirović (2023), Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming, A. Oh, T. Neumann, A. Globerson, K. Saenko, M. Hardt, S. Levine (Eds.), In Advances in Neural Information Processing Systems 36 (NeurIPS 2023) Volume 36 p.9173-9212, Curran Associates, Inc..

Cees Jol, Junhan Wen, Jan van Gemert (2023), Non-Destructive Infield Quality Estimation of Strawberries using Deep Architectures, Cristina Ceballos (Eds.), In Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) p.515-524, IEEE.

I. D. Serna-Suárez, G. Morales-España, M. de Weerdt, G. Carrillo-Caicedo, G. Ordóñez-Plata, O. A. Quiroga (2023), On the applicability of single-line equivalents on optimal operation of modern unbalanced distribution networks, In Electric Power Systems Research Volume 223.

Anton Bouter (2023), Optimal Mixing Evolutionary Algorithms for Large-Scale Real-Valued Optimization: Including Real-World Medical Applications, PhD Thesis Delft University of Technology.

Tómas Thorbjarnarson, Neil Yorke-Smith (2023), Optimal training of integer-valued neural networks with mixed integer programming, In PLoS ONE Volume 18 p.e0261029.

Matthias Horn, Emir Demirovic, Neil Yorke-Smith (2023), Parallel Batch Processing for the Coating Problem, In Proceedings International Conference on Automated Planning and Scheduling, ICAPS p.171-179.

N. Efthymiou, N. Yorke-Smith (2023), Predicting the Optimal Period for Cyclic Hoist Scheduling Problems, Andre A. Cire (Eds.), In Proceedings of the 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR'23) p.238-253, Springer.

Qisong Yang, Thiago D. Simão, Nils Jansen, Simon H. Tindemans, Matthijs T.J. Spaan (2023), Reinforcement Learning by Guided Safe Exploration, Kobi Gal, Kobi Gal, Ann Nowe, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu (Eds.), In ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings p.2858 - 2865.