Adding Instruments and Workflow Support to Existing Grid Architectures. - Dave Colling; Luke William Dickens; Tiziana Ferrari; Y. Hassoun; Constantinos Kotsokalis; Marko Krznaric; Janusz Martyniak; Andrew Stephen McGough; Elisabetta Ronchieri (International Conference on Computational Science (3), 2006)

GRIDCC: real-time workflow system. - Andrew Stephen McGough; Asif Akram; Li Guo 002; Marko Krznaric; Luke Dickens; Dave Colling; Janusz Martyniak; Roger S. Powell; Paul Kyberd; Constantinos Kotsokalis (WORKS@HPDC, 2007)

GRIDCC: A Real-time Grid workflow system with QoS. - Andrew Stephen McGough; Asif Akram; Li Guo 002; Marko Krznaric; Luke Dickens; Dave Colling; Janusz Martyniak; Roger S. Powell; Paul Kyberd; Chenxi Huang; Constantinos Kotsokalis; Panayotis Tsanakas (Sci. Program., 2007)

Perpetual Learning for Non-Cooperative Multiple Agents. - Luke Dickens (AAAI, 2008)

Learning to Act Stochastically. - Luke Dickens (2009)

The Dynamics of Multi-Agent Reinforcement Learning. - Luke Dickens; Krysia Broda; Alessandra Russo (ECAI, 2010)

Mining roles with noisy data. - Ian M. Molloy; Ninghui Li; Yuan (Alan) Qi; Jorge Lobo 001; Luke Dickens (SACMAT, 2010)

Risk-based security decisions under uncertainty. - Ian M. Molloy; Luke Dickens; Charles Morisset; Pau-Chen Cheng; Jorge Lobo 001; Alessandra Russo (CODASPY, 2012)

Learning Stochastic Models of Information Flow. - Luke Dickens; Ian M. Molloy; Jorge Lobo 001; Pau-Chen Cheng; Alessandra Russo (ICDE, 2012)

Balancing Public Cycle Sharing Schemes Using Independent Learners. - Jeremiah Smith; Luke Dickens; Krysia Broda (ICMLA (1), 2012)

Associating locations from wearable cameras. - Jose Rivera-Rubio; Ioannis Alexiou; Luke Dickens; Riccardo Secoli; Emil C. Lupu; Anil Anthony Bharath (BMVC, 2014)

On efficient meta-data collection for crowdsensing. - Luke Dickens; Emil Lupu (PerCom Workshops, 2014)

Privacy dynamics: learning privacy norms for social software. - Gül Çalikli; Mark Law; Arosha K. Bandara; Alessandra Russo; Luke Dickens; Blaine A. Price; Avelie Stuart; Mark Levine; Bashar Nuseibeh (SEAMS@ICSE, 2016)

Probabilistic abductive logic programming using Dirichlet priors. - Calin-Rares Turliuc; Luke Dickens; Alessandra Russo; Krysia Broda (Int. J. Approx. Reason., 2016)

Learning to share: engineering adaptive decision-support for online social networks. - Yasmin Rafiq; Luke Dickens; Alessandra Russo; Arosha K. Bandara; Mu Yang; Avelie Stuart; Mark Levine; Gul Calikli; Blaine A. Price; Bashar Nuseibeh (ASE, 2017)

Foundations for a Probabilistic Event Calculus. - Fabio Aurelio D'Asaro; Antonis Bikakis; Luke Dickens; Rob Miller 002 (LPNMR, 2017)

RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems. - Ekaterina Abramova; Luke Dickens; Daniel Kuhn; Aldo Faisal (CoRR, 2019)

Exploring the Touch and Motion Features in Game-Based Cognitive Assessments. - Jittrapol Intarasirisawat; Chee Siang Ang; Christos Efstratiou; Luke William Feidhlim Dickens; Rupert Page (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Probabilistic reasoning about epistemic action narratives. - Fabio Aurelio D'Asaro; Antonis Bikakis; Luke Dickens; Rob Miller 002 (Artif. Intell., 2020)

On the Effects of Knowledge-Augmented Data in Word Embeddings. - Diego Ramirez-Echavarria; Antonis Bikakis; Luke Dickens; Rob Miller 002; Andreas Vlachidis (CoRR, 2020)

On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision. - Harald Strömfelt; Luke Dickens; Artur S. d'Avila Garcez; Alessandra Russo (CoRR, 2020)

An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence. - Jittrapol Intarasirisawat; Chee Siang Ang; Christos Efstratiou; Luke Dickens; Naranchaya Sriburapar; Dinkar Sharma; Burachai Asawathaweeboon (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Coherent and Consistent Relational Transfer Learning with Auto-encoders. - Harald Strömfelt; Luke Dickens; Artur S. d'Avila Garcez; Alessandra Russo (NeSy, 2021)

Repurposing of Resources: from Everyday Problem Solving through to Crisis Management. - Antonis Bikakis; Luke Dickens; Anthony Hunter; Rob Miller 002 (CoRR, 2021)

Formalizing Consistency and Coherence of Representation Learning. - Harald Strömfelt; Luke Dickens; Artur S. d'Avila Garcez; Alessandra Russo (NeurIPS, 2022)

Automatic Concept Extraction for Concept Bottleneck-based Video Classification. - Jeya Vikranth Jeyakumar; Luke Dickens; Luis Garcia 001; Yu-Hsi Cheng; Diego Ramirez-Echavarria; Joseph Noor; Alessandra Russo; Lance M. Kaplan; Erik Blasch; Mani B. Srivastava (CoRR, 2022)

A Graphical Formalism for Commonsense Reasoning with Recipes. - Antonis Bikakis; Aïssatou Diallo; Luke Dickens; Anthony Hunter; Rob Miller 002 (CoRR, 2023)

PizzaCommonSense: A Dataset for Commonsense Reasoning about Intermediate Steps in Cooking Recipes. - Aïssatou Diallo; Antonis Bikakis; Luke Dickens; Anthony Hunter; Rob Miller 002 (EMNLP (Findings), 2024)

Context Helps: Integrating Context Information with Videos in a Graph-Based HAR Framework. - Binxia Xu; Antonis Bikakis; Daniel F. O. Onah; Andreas Vlachidis; Luke Dickens (NeSy (1), 2024)

PizzaCommonSense: Learning to Model Commonsense Reasoning about Intermediate Steps in Cooking Recipes. - Aïssatou Diallo; Antonis Bikakis; Luke Dickens; Anthony Hunter; Rob Miller 002 (CoRR, 2024)

Unsupervised Learning of Graph from Recipes. - Aïssatou Diallo; Antonis Bikakis; Luke Dickens; Anthony Hunter; Rob Miller 002 (CoRR, 2024)

An answer set programming-based implementation of epistemic probabilistic event calculus. - Fabio Aurelio D'Asaro; Antonis Bikakis; Luke Dickens; Rob Miller 002 (Int. J. Approx. Reason., 2024)

Measuring Error Alignment for Decision-Making Systems. - Binxia Xu; Antonis Bikakis; Daniel F. O. Onah; Andreas Vlachidis; Luke Dickens (AAAI, 2025)

Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies. - Kexin Gu Baugh; Luke Dickens; Alessandra Russo (AAMAS, 2025)

IAO Prompting: Making Knowledge Flow Explicit in LLMs through Structured Reasoning Templates. - Aïssatou Diallo; Antonis Bikakis; Luke Dickens; Anthony Hunter; Rob Miller 002 (CoRR, 2025)

Rule-Guided Feedback: Enhancing Reasoning by Enforcing Rule Adherence in Large Language Models. - Aïssatou Diallo; Antonis Bikakis; Luke Dickens; Anthony Hunter; Rob Miller 002 (CoRR, 2025)

RESPONSE: Benchmarking the Ability of Language Models to Undertake Commonsense Reasoning in Crisis Situation. - Aïssatou Diallo; Antonis Bikakis; Luke Dickens; Anthony Hunter; Rob Miller 002 (CoRR, 2025)

Disentangling Neural Disjunctive Normal Form Models. - Kexin Gu Baugh; Vincent Perreault; Matthew Baugh; Luke Dickens; Katsumi Inoue; Alessandra Russo (CoRR, 2025)

A Translation of Probabilistic Event Calculus into Markov Decision Processes. - Lyris Xu; Fabio Aurelio D'Asaro; Luke Dickens (CoRR, 2025)