91 citations · 252 across the 18 of their papers we have counts for
18 papers
Machine Learning Information Retrieval and Summarisation to Support Systematic Review on Outcomes Based Contracting
Iman Munire Bilal, Zheng Fang, Miguel Arana-Catania +6
As academic literature proliferates, traditional review methods are increasingly challenged by the sheer volume and diversity of available research. This article presents a study t…
SyROCCo: Enhancing Systematic Reviews using Machine Learning
Zheng Fang, Miguel Arana-Catania, Felix-Anselm van Lier +5
The sheer number of research outputs published every year makes systematic reviewing increasingly time- and resource-intensive. This paper explores the use of machine learning tech…
PANACEA: An Automated Misinformation Detection System on COVID-19
Runcong Zhao, Miguel Arana-Catania, Lixing Zhu +6
In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-check…
Embedding digital participatory budgeting within local government: motivations, strategies and barriers faced
Jonathan Davies, Miguel Arana-Catania, Rob Procter
The challenging task of embedding innovative participatory processes and technologies within local government often falls upon local council officers. Using qualitative data collec…
PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence
John Dougrez-Lewis, Elena Kochkina, M. Arana-Catania +2
Work on social media rumour verification utilises signals from posts, their propagation and users involved. Other lines of work target identifying and fact-checking claims based on…
Supporting peace negotiations in the Yemen war through machine learning
M. Arana-Catania, F. A. Van Lier, Rob Procter
Today's conflicts are becoming increasingly complex, fluid and fragmented, often involving a host of national and international actors with multiple and often divergent interests.…
Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims
M. Arana-Catania, Elena Kochkina, Arkaitz Zubiaga +3
We present a comprehensive work on automated veracity assessment from dataset creation to developing novel methods based on Natural Language Inference (NLI), focusing on misinforma…
Evaluating the application of NLP tools in mainstream participatory budgeting processes in Scotland
Jonathan Davies, Miguel Arana-Catania, Rob Procter +2
In recent years participatory budgeting (PB) in Scotland has grown from a handful of community-led processes to a movement supported by local and national government. This is epito…
Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes
M. Arana-Catania, Rob Procter, Yulan He +1
We present work on summarising deliberative processes for non-English languages. Unlike commonly studied datasets, such as news articles, this deliberation dataset reflects difficu…
A mixed-methods ethnographic approach to participatory budgeting in Scotland
Jonathan Davies, M. Arana-Catania, Rob Procter +2
Participatory budgeting (PB) is already well established in Scotland in the form of community led grant-making yet has recently transformed from a grass-roots activity to a mainstr…
Machine Learning for Mediation in Armed Conflicts
M. Arana-Catania, F. A. Van Lier, Rob Procter
Today's conflicts are becoming increasingly complex, fluid and fragmented, often involving a host of national and international actors with multiple and often divergent interests.…
Citizen Participation and Machine Learning for a Better Democracy
M. Arana-Catania, F. A. Van Lier, Rob Procter +4
The development of democratic systems is a crucial task as confirmed by its selection as one of the Millennium Sustainable Development Goals by the United Nations. In this article,…
Updated Constraints on General Squark Flavor Mixing
M. Arana-Catania, S. Heinemeyer, M. J. Herrero
We explore the phenomenological implications on non-minimal flavor violating (NMFV) processes from squark flavor mixing within the Minimal Supersymmetric Standard Model. We work un…
The flavour of supersymmetry: Phenomenological implications of sfermion mixing
M. Arana-Catania
We study the phenomenological implications of sfermion flavour mixing in supersymmetry in the context of Non-Minimal Flavour Violation (NMFV). We study the general flavour mixing h…
Non-decoupling SUSY in LFV Higgs decays: a window to new physics at the LHC
M. Arana-Catania, E. Arganda, M. J. Herrero
The recent discovery of a SM-like Higgs boson at the LHC, with a mass around 125-126 GeV, together with the absence of results in the direct searches for supersymmetry, is pushing…
New Constraints on General Slepton Flavor Mixing
M. Arana-Catania, S. Heinemeyer, M. J. Herrero
We explore the phenomenological implications on charged lepton flavor violating (LFV) processes from slepton flavor mixing within the Minimal Supersymmetric Standard Model. We work…
The Higgs sector of the NMFV MSSM at the ILC
M. Arana-Catania, S. Heinemeyer, M. J. Herrero +1
We calculate the one-loop corrections to the Higgs boson masses within the context of the MSSM with Non-Minimal Flavor Violation in the squark sector. We take into account all the…
Higgs Boson masses and B-Physics Constraints in Non-Minimal Flavor Violating SUSY scenarios
M. Arana-Catania, S. Heinemeyer, M. J. Herrero +1
We present one-loop corrections to the Higgs boson masses in the MSSM with Non-Minimal Flavor Violation. The flavor violation is generated from the hypothesis of general flavor mix…