A mixed-methods ethnographic approach to participatory budgeting in Scotland. - Jonathan Davies; Miguel Arana-Catania; Rob Procter; Felix-Anselm van Lier; Yulan He 001 (GoodIT, 2021)

Evaluating the application of NLP tools in mainstream participatory budgeting processes in Scotland. - Jonathan Davies; Miguel Arana-Catania; Rob Procter; Felix-Anselm van Lier; Yulan He 001 (ICEGOV, 2021)

Machine Learning for Mediation in Armed Conflicts. - Miguel Arana-Catania; Felix-Anselm van Lier; Rob Procter (CoRR, 2021)

Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes. - Miguel Arana-Catania; Rob Procter; Yulan He 001; Maria Liakata (CoRR, 2021)

Citizen Participation and Machine Learning for a Better Democracy. - Miguel Arana-Catania; Felix-Anselm van Lier; Rob Procter; Nataliya Tkachenko; Yulan He 001; Arkaitz Zubiaga; Maria Liakata (Digit. Gov. Res. Pract., 2021)

Embedding digital participatory budgeting within local government: motivations, strategies and barriers faced. - Jonathan Davies; Miguel Arana-Catania; Rob Procter (ICEGOV, 2022)

Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims. - Miguel Arana-Catania; Elena Kochkina; Arkaitz Zubiaga; Maria Liakata; Robert Procter; Yulan He 001 (NAACL-HLT, 2022)

Supporting peace negotiations in the Yemen war through machine learning. - Miguel Arana-Catania; Felix-Anselm van Lier; Rob Procter (CoRR, 2022)

PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence. - John Dougrez-Lewis; Elena Kochkina; Miguel Arana-Catania; Maria Liakata; Yulan He 001 (CoRR, 2022)

PANACEA dataset - Heterogeneous COVID-19 Claims. - Miguel Arana-Catania; Elena Kochkina; Arkaitz Zubiaga; Maria Liakata; Rob Procter; Yulan He 001 (Zenodo, 2022)

PANACEA: An Automated Misinformation Detection System on COVID-19. - Runcong Zhao; Miguel Arana-Catania; Lixing Zhu; Elena Kochkina; Lin Gui 003; Arkaitz Zubiaga; Rob Procter; Maria Liakata; Yulan He 001 (EACL (System Demonstrations), 2023)

Some Observations on Fact-Checking Work with Implications for Computational Support. - Rob Procter; Miguel Arana-Catania; Yulan He 001; Maria Liakata; Arkaitz Zubiaga; Elena Kochkina; Runcong Zhao (CoRR, 2023)

Evaluating the generalisability of neural rumour verification models. - Elena Kochkina; Tamanna Hossain; Robert L. Logan IV; Miguel Arana-Catania; Rob Procter; Arkaitz Zubiaga; Sameer Singh 001; Yulan He 001; Maria Liakata (Inf. Process. Manag., 2023)

Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments. - Julian Gerald Dcruz; Sam Mahoney; Jia Yun Chua; Adoundeth Soukhabandith; John Mugabe; Weisi Guo; Miguel Arana-Catania (ISC2, 2024)

Autonomous Robotic Arm Manipulation for Planetary Missions using Causal Machine Learning. - Cian McDonnell; Miguel Arana-Catania; Saurabh Upadhyay (CoRR, 2024)

SyROCCo: Enhancing Systematic Reviews using Machine Learning. - Zheng Fang 011; Miguel Arana-Catania; Felix-Anselm van Lier; Juliana Outes Velarde; Harry Bregazzi; Mara Airoldi; Eleanor Carter; Rob Procter (CoRR, 2024)

Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learning. - Abdulaziz Alwalan; Miguel Arana-Catania (CoRR, 2024)

Spacecraft inertial parameters estimation using time series clustering and reinforcement learning. - Konstantinos Platanitis; Miguel Arana-Catania; Leonardo Capicchiano; Saurabh Upadhyay; Leonard Felicetti (CoRR, 2024)

Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction. - Irem Üstek; Miguel Arana-Catania; Alexander Farr; Ivan Petrunin (CoRR, 2024)

Machine Learning Information Retrieval and Summarisation to Support Systematic Review on Outcomes Based Contracting. - Iman Munire Bilal; Zheng Fang 011; Miguel Arana-Catania; Felix-Anselm van Lier; Juliana Outes Velarde; Harry Bregazzi; Eleanor Carter; Mara Airoldi; Rob Procter (CoRR, 2024)

SyROCCo dataset. - Zheng Fang 011; Miguel Arana-Catania; Felix-Anselm van Lier; Juliana Outes Velarde; Harry Bregazzi; Mara Airoldi; Eleanor Carter; Rob Procter (Zenodo, 2024)

Explainable Reinforcement and Causal Learning for Improving Trust to 6G Stakeholders. - Miguel Arana-Catania; Amir Sonee; Abdul-Manan Khan; Kavan Fatehi; Yun Tang 003; Bailu Jin; Anna Soligo; David Boyle 001; Radu Calinescu; Poonam Yadav; Hamed Ahmadi; Antonios Tsourdos; et al. (IEEE Open J. Commun. Soc., 2025)

A causal learning approach to in-orbit inertial parameter estimation for multi-payload deployers. - Konstantinos Platanitis; Miguel Arana-Catania; Saurabh Upadhyay; Leonard Felicetti (CoRR, 2025)

Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges. - Miguel Arana-Catania; Weisi Guo (CoRR, 2025)

From Ground to Air: Noise Robustness in Vision Transformers and CNNs for Event-Based Vehicle Classification with Potential UAV Applications. - Nouf Almesafri; Hector Figueiredo; Miguel Arana-Catania (CoRR, 2025)