Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Miguel Arana"'
Publikováno v:
Earth and Space Science, Vol 11, Iss 11, Pp n/a-n/a (2024)
Abstract Wildfires pose a significantly increasing hazard to global ecosystems due to the climate crisis. Due to its complex nature, there is an urgent need for innovative approaches to wildfire prediction, such as machine learning. This research too
Externí odkaz:
https://doaj.org/article/f00af22b1bd44bae9078b00eee0b940d
Autor:
Zheng Fang, Miguel Arana-Catania, Felix-Anselm van Lier, Juliana Outes Velarde, Harry Bregazzi, Mara Airoldi, Eleanor Carter, Rob Procter
Publikováno v:
Data & Policy, Vol 6 (2024)
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 techniques to help navigate the systematic review process. Machine learnin
Externí odkaz:
https://doaj.org/article/6be28e35c3734d8fb951b8023bb2c018
Publikováno v:
Data & Policy, Vol 4 (2022)
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. This development poses significant challenges for conflict mediatio
Externí odkaz:
https://doaj.org/article/0922ca8305774ffc9ceb0334da76d877
Preserving the Intangible Cultural Sound Heritage of Humanity is a crucial aspect of safeguarding a people’s culture and history. By employing objective acoustic and psychoacoustic parameters, we can effectively analyze and characterize these audit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e272387a688f70d16ffe23cc7251bf0
https://doi.org/10.20944/preprints202305.1100.v1
https://doi.org/10.20944/preprints202305.1100.v1
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. This development poses significant challenges for conflict mediation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10c21f6e964938e429ed18a5480b947f
https://ora.ox.ac.uk/objects/uuid:b109d519-e2ef-4835-bfb9-f315c2a355e0
https://ora.ox.ac.uk/objects/uuid:b109d519-e2ef-4835-bfb9-f315c2a355e0
Publikováno v:
Scopus-Elsevier
Proceedings of the Fifth Workshop on Fact Extraction and VERification (FEVER)
Proceedings of the Fifth Workshop on Fact Extraction and VERification (FEVER)
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 information from Wikipedia, or trustworthy news articles without cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99e1df3c6e81ff6a446db3c68cea399d
http://arxiv.org/abs/2207.13970
http://arxiv.org/abs/2207.13970
Autor:
Elena Kochkina, Tamanna Hossain, Robert L. Logan, Miguel Arana-Catania, Rob Procter, Arkaitz Zubiaga, Sameer Singh, Yulan He, Maria Liakata
Publikováno v:
Information Processing & Management. 60:103116
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 epitomized by an agreement between the Scottish Government and the Conventi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88e56df25f6f0d348f981875f1bf2c85
http://arxiv.org/abs/2111.11766
http://arxiv.org/abs/2111.11766
Autor:
Rob Procter, Miguel Arana-Catania, Felix-Anselm van Lier, Maria Liakata, Nataliya Tkachenko, Yulan He, Arkaitz Zubiaga
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, we report on the progress of a project that aims to address barriers,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bbd18e3db0143a1adc27b01d78b908e
http://wrap.warwick.ac.uk/152058/13/WRAP-citizen-participation-machine-learning-better-democracy-Procter-2021.pdf
http://wrap.warwick.ac.uk/152058/13/WRAP-citizen-participation-machine-learning-better-democracy-Procter-2021.pdf
Publikováno v:
The FASEB Journal. 35
Prior to the COVID pandemic, we designed and implemented a hands-on activity to help students understand how countercurrent multiplication (CCM) in the mammalian kidney produces concentrated urine. To supplement the traditional text descriptions, fig