Shivam Miglani, Neil Yorke-Smith (2020), NLtoPDDL: One-Shot Learning of PDDL Models from Natural Language Process Manuals, In Working Notes of the ICAPS'20 Workshop on Knowledge Engineering for Planning and Scheduling (KEPS'20), ICAPS.

N. Yorke-Smith (2020), Responsible Artificial Intelligence: (book review), In Prometheus (Abingdon): critical studies in innovation p.299-302.

Roland Saur, Han la Poutré, Neil Yorke-Smith (2020), Towards Optimal Demand-Side Bidding in Parallel Auctions for Time-Shiftable Electrical Loads, In 2020 IEEE 18th International Conference on Industrial Informatics (INDIN) p.340-347, IEEE.

Ronald van Driel, N. Yorke-Smith (2020), Towards Unsatisfiable Core Learning for Chuffed.

Sara Bernardini, Simon Parkinson, Kartik Talamadupula, Neil Yorke-Smith (2019), 12th International Scheduling and Planning Applications Workshop (SPARK'19): Post-proceedings of SPARK 2019.

Pankaj R. Telang, Munindar P. Singh, Neil Yorke-Smith (2019), A Coupled Operational Semantics for Goals and Commitments, In The Journal of Artificial Intelligence Research Volume 65 p.31-85.

Emile Chappin, Igor Nikolic, Neil Yorke-Smith (2019), Agent-Based Modelling of the Social Dynamics of Energy End-Use, M. Lopes, C. Henggeler, K. Janda (Eds.), In Energy and Behaviour p.321-351, Elsevier.

Roland Saur, Neil Yorke-Smith, Han La Poutré (2019), Combined Heat and Power Markets by Double-Sided Auction Mechanisms, In Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019, IEEE.

Tim Jonker, Mark Duinkerken, Neil Yorke-Smith, A. de Waal, Rudy Negenborn (2019), Coordinated optimization of equipment operations in a container terminal, In Flexible Services and Manufacturing Journal Volume 33 (2021).

Mark Wallace, Neil Yorke-Smith (2019), Cyclic Hoist Scheduling: Experiments with Modern Solvers, CPAIOR 2019: 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research .