Erik Wiegel, Neil Yorke-Smith (2024), An Agent-Based Market Analysis of Urban Housing Balance in The Netherlands, In Real Estate Volume 1 p. 80-135.

P.R. van der Vaart, N. Yorke-Smith, M.T.J. Spaan (2024), Bayesian Ensembles for Exploration in Deep Q-Learning, Natasha Alechina, Virginia Dignum (Eds.), In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems p.2528-2530, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

S. Hugtenburg, N. Yorke-Smith (2024), Delftse Foundations of Computation, TU Delft OPEN Publishing.

Yun Li, Neil Yorke-Smith, Tamas Keviczky (2024), Machine learning enabled uncertainty set for data-driven robust optimization, In Journal of Process Control Volume 144.

Tom McDonald, Calvin Tsay, Artur M. Schweidtmann, Neil Yorke-Smith (2024), Mixed-integer optimisation of graph neural networks for computer-aided molecular design, In Computers and Chemical Engineering Volume 185.

N.J. Schutte, K.S. Postek, N. Yorke-Smith (2024), Robust Losses for Decision-Focused Learning, Kate Larson (Eds.), In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence p.4868-4875.

Yun Li, Neil Yorke-Smith, Tamas Keviczky (2024), Robust Optimal Control with Binary Adjustable Uncertainties, In Proceedings of the European Control Conference, ECC 2024 p.3721-3727, IEEE.

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.

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).