Carlos March Moya, Frederik Schulte, Kevin Tierney, Neil Yorke-Smith (2027), A Reinforcement Learning Approach for the Dynamic Berth Allocation Problem, Jesica de Armas, Eduardo Lalla Ruiz (Eds.), In Logistics and Maritime Systems - 14th International Conference, LOGMS 2026, Held in Conjunction with EUROMar 2026, Proceedings p.15-26, Springer.

Bertold B. Kovács, Neil Yorke-Smith (2026), An Agent-Based Model of Administrative Corruption in Hierarchical Organisations, Alicia Vidler, Samarth Swarup (Eds.), In Multi-Agent-Based Simulation 26 - 26th International Workshop, MABS 2025, Revised Selected Papers p.77-88, Springer.

Robin Manhaeve, Francesco Giannini, Mehdi Ali, Damiano Azzolini, Alice Bizzarri, Andrea Borghesi, Samuele Bortolotti, Sebastijan Dumančić, Neil Yorke-Smith, More Authors (2026), Benchmarking in Neuro-Symbolic AI, Wang-Zhou Dai (Eds.), In Learning and Reasoning - 4th International Joint Conference on Learning and Reasoning, IJCLR 2024, and 33rd International Conference on Inductive Logic Programming, ILP 2024, Proceedings p.238-249, Springer.

Yanyan Xu, Panchamy Krishnakumari, Neil Yorke-Smith, Serge Hoogendoorn (2026), Extracting socio-psychological perceptions for analysis of travel behaviours, In Travel Behaviour and Society Volume 43.

Lara Scavuzzo, Karen Aardal, Andrea Lodi, Neil Yorke-Smith (2026), Machine learning augmented branch and bound for mixed integer linear programming, In Mathematical Programming Volume 217 p.123-166.

Yun Li, Neil Yorke-Smith, Tamas Keviczky (2026), On data-driven robust optimization with multiple uncertainty subsets: Unified uncertainty set representation and mitigating conservatism, In Journal of Process Control Volume 158.

Leila Shams Ashkezari, Bart Lagae, Neil Yorke-Smith, Mahnam Saeednia, Pavol Bauer, Gautham Ram Chandra Mouli (2026), Planning highway charging networks for heavy-duty electric vehicles: From network design to station-level charging profiles, In Applied Energy Volume 426.

Yaoxin Wu, Jayanta Mandi, Hoong Chuin Lau, Michele Lombardi, Neil Yorke-Smith, Yingqian Zhang (2026), Preface for Special issue on Data Science meets Optimization III, Annals of Mathematics and Artificial Intelligence Volume 94 p.327-328.

Pengwei Guo, Noortje Wagemakers, Sandra Barbosa Nunes, Neil Yorke-Smith, Virginie Wiktor (2026), Real-Time Prediction of Mixing Torque Using Deep Learning, N.M. Alderete, B. Debbaut, Y. Zhang, N. De Belie, G. De Schutter (Eds.), In Proceedings of the RILEM Spring Convention 2026 p.415-422, Springer.

Pengwei Guo, Le Teng, Neil Yorke-Smith, Sandra Barbosa Nunes (2026), Toward intelligent construction: AI-driven autonomous monitoring of fresh concrete flow behaviour, In Developments in the Built Environment Volume 27.