Luke Dickens

According to our database, Luke Dickens authored at least 33 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An answer set programming-based implementation of epistemic probabilistic event calculus.

Fabio Aurelio D'Asaro, Antonis Bikakis, Luke Dickens, Rob Miller

Int. J. Approx. Reason., February, 2024

Measuring Error Alignment for Decision-Making Systems.

Binxia Xu, Antonis Bikakis, Daniel Onah, Andreas Vlachidis, Luke Dickens

CoRR, 2024

Unsupervised Learning of Graph from Recipes.

Aïssatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller

CoRR, 2024

PizzaCommonSense: Learning to Model Commonsense Reasoning about Intermediate Steps in Cooking Recipes.

Aïssatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller

CoRR, 2024

Context Helps: Integrating Context Information with Videos in a Graph-Based HAR Framework.

Binxia Xu, Antonis Bikakis, Daniel Onah, Andreas Vlachidis, Luke Dickens

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

PizzaCommonSense: A Dataset for Commonsense Reasoning about Intermediate Steps in Cooking Recipes.

Aïssatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

A Graphical Formalism for Commonsense Reasoning with Recipes.

Antonis Bikakis, Aïssatou Diallo, Luke Dickens, Anthony Hunter, Rob Miller

CoRR, 2023

2022

Automatic Concept Extraction for Concept Bottleneck-based Video Classification.

Jeya Vikranth Jeyakumar, Luke Dickens, Luis Garcia, Yu-Hsi Cheng, Diego Ramirez-Echavarria, Joseph Noor, Alessandra Russo, Lance M. Kaplan, Erik Blasch, Mani B. Srivastava

CoRR, 2022

Formalizing Consistency and Coherence of Representation Learning.

Harald Strömfelt, Luke Dickens, Artur S. d'Avila Garcez, Alessandra Russo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Repurposing of Resources: from Everyday Problem Solving through to Crisis Management.

Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller

CoRR, 2021

Coherent and Consistent Relational Transfer Learning with Auto-encoders.

Harald Strömfelt, Luke Dickens, Artur S. d'Avila Garcez, Alessandra Russo

Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), 2021

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

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

On the Effects of Knowledge-Augmented Data in Word Embeddings.

Diego Ramirez-Echavarria, Antonis Bikakis, Luke Dickens, Rob Miller, Andreas Vlachidis

CoRR, 2020

Probabilistic reasoning about epistemic action narratives.

Fabio Aurelio D'Asaro, Antonis Bikakis, Luke Dickens, Rob Miller

Artif. Intell., 2020

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

RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems.

Ekaterina Abramova, Luke Dickens, Daniel Kuhn, Aldo Faisal

CoRR, 2019

2017

Foundations for a Probabilistic Event Calculus.

Fabio Aurelio D'Asaro, Antonis Bikakis, Luke Dickens, Rob Miller

Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2017

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

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

2016

Probabilistic abductive logic programming using Dirichlet priors.

Calin-Rares Turliuc, Luke Dickens, Alessandra Russo, Krysia Broda

Int. J. Approx. Reason., 2016

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

Proceedings of the 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2016

2014

On efficient meta-data collection for crowdsensing.

Luke Dickens, Emil Lupu

Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014

Associating locations from wearable cameras.

Jose Rivera-Rubio, Ioannis Alexiou, Luke Dickens, Riccardo Secoli, Emil C. Lupu, Anil Anthony Bharath

Proceedings of the British Machine Vision Conference, 2014

2012

Balancing Public Cycle Sharing Schemes Using Independent Learners.

Jeremiah Smith, Luke Dickens, Krysia Broda

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Learning Stochastic Models of Information Flow.

Luke Dickens, Ian M. Molloy, Jorge Lobo, Pau-Chen Cheng, Alessandra Russo

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Risk-based security decisions under uncertainty.

Ian M. Molloy, Luke Dickens, Charles Morisset, Pau-Chen Cheng, Jorge Lobo, Alessandra Russo

Proceedings of the Second ACM Conference on Data and Application Security and Privacy, 2012

2010

Mining roles with noisy data.

Ian M. Molloy, Ninghui Li, Yuan (Alan) Qi, Jorge Lobo, Luke Dickens

Proceedings of the 15th ACM Symposium on Access Control Models and Technologies, 2010

The Dynamics of Multi-Agent Reinforcement Learning.

Luke Dickens, Krysia Broda, Alessandra Russo

Proceedings of the ECAI 2010, 2010

2009

Learning to Act Stochastically.

Luke Dickens

PhD thesis, 2009

2008

Perpetual Learning for Non-Cooperative Multiple Agents.

Luke Dickens

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

GRIDCC: A Real-time Grid workflow system with QoS.

Andrew Stephen McGough, Asif Akram, Li Guo, Marko Krznaric, Luke Dickens, Dave Colling, Janusz Martyniak, Roger S. Powell, Paul Kyberd, Chenxi Huang, Constantinos Kotsokalis, Panayotis Tsanakas

Sci. Program., 2007

GRIDCC: real-time workflow system.

Andrew Stephen McGough, Asif Akram, Li Guo, Marko Krznaric, Luke Dickens, Dave Colling, Janusz Martyniak, Roger S. Powell, Paul Kyberd, Constantinos Kotsokalis

Proceedings of the 2nd workshop on Workflows in support of large-scale science, 2007

2006

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

Proceedings of the Computational Science, 2006