ISPBXs and terminals. - Ian Davies; Alistair McBain (Comput. Commun., 1988)

Symbolic Methods for the State Space Exploration of GSPN Models. - Ian Davies; William J. Knottenbelt; Pieter S. Kritzinger (Computer Performance Evaluation / TOOLS, 2002)

Multimodal inference for driver-vehicle interaction. - Tevfik Metin Sezgin; Ian Davies; Peter Robinson 001 (ICMI, 2009)

WebSurface: an interface for co-located collaborative information gathering. - Philip Tuddenham; Ian Davies; Peter Robinson 001 (ITS, 2009)

Emotional Investment in Naturalistic Data Collection. - Ian Davies; Peter Robinson 001 (ACII (1), 2011)

The state of play of ASC-Inclusion: An Integrated Internet-Based Environment for Social Inclusion of Children with Autism Spectrum Conditions. - Björn W. Schuller; Erik Marchi; Simon Baron-Cohen; Helen O'Reilly; Delia Pigat; Peter Robinson 001; Ian Davies (CoRR, 2014)

Equality: A Tool for Free-form Equation Editing. - Stephen Cummins; Ian Davies; Andrew C. Rice; Alastair R. Beresford (ICALT, 2015)

Avicaching: A Two Stage Game for Bias Reduction in Citizen Science. - Yexiang Xue; Ian Davies; Daniel Fink 002; Christopher Wood; Carla P. Gomes (AAMAS, 2016)

Behavior Identification in Two-Stage Games for Incentivizing Citizen Science Exploration. - Yexiang Xue; Ian Davies; Daniel Fink 002; Christopher Wood; Carla P. Gomes (CP, 2016)

Supporting Scalable Data Sharing in Online Education. - Stephen Cummins; Alastair R. Beresford; Ian Davies; Andrew C. Rice (L@S, 2016)

Investigating the Use of Hints in Online Problem Solving. - Stephen Cummins; Alistair Stead; Lisa Jardine-Wright; Ian Davies; Alastair R. Beresford; Andrew C. Rice (L@S, 2016)

The ASC-Inclusion Perceptual Serious Gaming Platform for Autistic Children. - Erik Marchi; Tadas Baltrusaitis; Andra Adams; Marwa Mahmoud; Ofer Golan; Shimrit Fridenson-Hayo; Shahar Tal; Shai Newman; Noga Meir-Goren; Antonio Camurri; Stefano Piana; Björn W. Schuller; et al. (IEEE Trans. Games, 2019)

Learning to Model Opponent Learning (Student Abstract). - Ian Davies; Zheng Tian 002; Jun Wang 012 (AAAI, 2020)

Learning to Communicate Implicitly by Actions. - Zheng Tian 002; Shihao Zou; Ian Davies; Tim Warr; Lisheng Wu; Haitham Bou-Ammar; Jun Wang 012 (AAAI, 2020)

Learning to Model Opponent Learning. - Ian Davies; Zheng Tian 002; Jun Wang 012 (CoRR, 2020)

Kernel Identification Through Transformers. - Fergus Simpson; Ian Davies; Vidhi Lalchand; Alessandro Vullo; Nicolas Durrande; Carl Edward Rasmussen (NeurIPS, 2021)

One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning. - Clément Bonnet; Paul Caron; Thomas D. Barrett; Ian Davies; Alexandre Laterre (CoRR, 2021)

Fully distributed actor-critic architecture for multitask deep reinforcement learning. - Sergio Valcarcel Macua; Ian Davies; Aleksi Tukiainen; Enrique Munoz de Cote (Knowl. Eng. Rev., 2021)

Towards practical reinforcement learning for tokamak magnetic control. - Brendan D. Tracey; Andrea Michi; Yuri Chervonyi; Ian Davies; Cosmin Paduraru; Nevena Lazic; Federico Felici; Timo Ewalds; Craig Donner; Cristian Galperti; Jonas Buchli; Michael Neunert; et al. (CoRR, 2023)

Wasserstein Policy Optimization. - David Pfau; Ian Davies; Diana Borsa; Joao G. M. Araujo; Brendan D. Tracey; Hado van Hasselt (CoRR, 2025)