Miguel Arana-Catania

According to our database, Miguel Arana-Catania authored at least 18 papers between 2021 and 2024.

Collaborative distances:

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

2024

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

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

Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learning.

Abdulaziz Alwalan, Miguel Arana-Catania

CoRR, 2024

SyROCCo: Enhancing Systematic Reviews using Machine Learning.

Zheng Fang, Miguel Arana-Catania, Felix-Anselm van Lier, Juliana Outes Velarde, Harry Bregazzi, Mara Airoldi, Eleanor Carter, Rob Procter

CoRR, 2024

Autonomous Robotic Arm Manipulation for Planetary Missions using Causal Machine Learning.

Cian McDonnell, Miguel Arana-Catania, Saurabh Upadhyay

CoRR, 2024

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, Yulan He, Maria Liakata

Inf. Process. Manag., 2023

Some Observations on Fact-Checking Work with Implications for Computational Support.

Rob Procter, Miguel Arana-Catania, Yulan He, Maria Liakata, Arkaitz Zubiaga, Elena Kochkina, Runcong Zhao

CoRR, 2023

PANACEA: An Automated Misinformation Detection System on COVID-19.

Runcong Zhao, Miguel Arana-Catania, Lixing Zhu, Elena Kochkina, Lin Gui, Arkaitz Zubiaga, Rob Procter, Maria Liakata, Yulan He

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

2022

PANACEA dataset - Heterogeneous COVID-19 Claims.

Miguel Arana-Catania, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata, Rob Procter, Yulan He

Dataset, July, 2022

PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence.

John Dougrez-Lewis, Elena Kochkina, Miguel Arana-Catania, Maria Liakata, Yulan He

CoRR, 2022

Supporting peace negotiations in the Yemen war through machine learning.

Miguel Arana-Catania, Felix-Anselm van Lier, Rob Procter

CoRR, 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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Embedding digital participatory budgeting within local government: motivations, strategies and barriers faced.

Jonathan Davies, Miguel Arana-Catania, Rob Procter

Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance, 2022

2021

Citizen Participation and Machine Learning for a Better Democracy.

Miguel Arana-Catania, Felix-Anselm van Lier, Rob Procter, Nataliya Tkachenko, Yulan He, Arkaitz Zubiaga, Maria Liakata

Digit. Gov. Res. Pract., 2021

Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes.

Miguel Arana-Catania, Rob Procter, Yulan He, Maria Liakata

CoRR, 2021

Machine Learning for Mediation in Armed Conflicts.

Miguel Arana-Catania, Felix-Anselm van Lier, Rob Procter

CoRR, 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

Proceedings of the ICEGOV 2021: 14th International Conference on Theory and Practice of Electronic Governance, Athens, Greece, October 6, 2021

A mixed-methods ethnographic approach to participatory budgeting in Scotland.

Jonathan Davies, Miguel Arana-Catania, Rob Procter, Felix-Anselm van Lier, Yulan He

Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021