Zobrazeno 1 - 10
of 7 058
pro vyhledávání: '"Burrell, P."'
Autor:
Kamalaruban, Parameswaran, Pi, Yulu, Burrell, Stuart, Drage, Eleanor, Skalski, Piotr, Wong, Jason, Sutton, David
Ensuring fairness in transaction fraud detection models is vital due to the potential harms and legal implications of biased decision-making. Despite extensive research on algorithmic fairness, there is a notable gap in the study of bias in fraud det
Externí odkaz:
http://arxiv.org/abs/2409.04373
This study investigates the controversial role of Intellectual Property Rights (IPRs) in climate technology transfer and innovation in developing countries. Using a systematic literature review and expert interviews, we assess the role of IPRs on thr
Externí odkaz:
http://arxiv.org/abs/2408.12338
Autor:
Perez, Iker, Wong, Jason, Skalski, Piotr, Burrell, Stuart, Mortier, Richard, McAuley, Derek, Sutton, David
Global financial crime activity is driving demand for machine learning solutions in fraud prevention. However, prevention systems are commonly serviced to financial institutions in isolation, and few provisions exist for data sharing due to fears of
Externí odkaz:
http://arxiv.org/abs/2401.02450
Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences
Publikováno v:
4th ACM International Conference on AI in Finance (ICAIF '23), November 27-29, 2023, Brooklyn, NY, USA
Machine learning models underpin many modern financial systems for use cases such as fraud detection and churn prediction. Most are based on supervised learning with hand-engineered features, which relies heavily on the availability of labelled data.
Externí odkaz:
http://arxiv.org/abs/2401.01641
Autor:
Xiao Zhou, Beatriz Garcia-Morante, Alison Burrell, Carla Correia-Gomes, Lucia Dieste-Pérez, Karlijn Eenink, Joaquim Segalés, Marina Sibila, Michael Siegrist, Tijs Tobias, Carles Vilalta, Angela Bearth
Publikováno v:
Porcine Health Management, Vol 10, Iss 1, Pp 1-14 (2024)
Abstract Background Application of data-driven strategies may support veterinarians’ decision-making, benefitting pig disease prevention and control. However, little is known about veterinarians’ need for data utilisation to support their decisio
Externí odkaz:
https://doaj.org/article/8efa5a739c684a128d75d2aff2e421a5
Autor:
Ragnhild Hellesø, Hanne Marie Rostad, Anette Fagertun, Oddvar Førland, Marianne Sundlisæter Skinner, Astrid Ouahyb Sundsbø, Lisa Victoria Burrell, Maren Sogstad
Publikováno v:
Tidsskrift for Omsorgsforskning, Vol 10, Iss 2, Pp 46-64 (2024)
Bakgrunn: Velferdsstaten er under press, og det forventes at kommunene må prioritere hardere framover. I denne artikkelen analyserer og diskuterer vi prioriteringslandskapet knyttet til helse- og omsorgstjenestene, med et særlig søkelys på utford
Externí odkaz:
https://doaj.org/article/c1b154a09b69420580164b6304702c95
Autor:
Jonathan D. Taylor, Nathalie Barrett, Sergio Martinez Cuesta, Katelyn Cassidy, Fiona Pachl, James Dodgson, Radhika Patel, Tuula M. Eriksson, Aidan Riley, Matthew Burrell, Christin Bauer, D. Gareth Rees, Raffaello Cimbro, Andrew X. Zhang, Ralph R. Minter, James Hunt, Sandrine Legg
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-17 (2024)
Abstract Proteins can be targeted for degradation by engineering biomolecules that direct them to the eukaryotic ubiquitination machinery. For instance, the fusion of an E3 ubiquitin ligase to a suitable target binding domain creates a ‘biological
Externí odkaz:
https://doaj.org/article/82c3864e38134c29b42485f93454e6e6
Publikováno v:
SocioEconomic Challenges, Vol 8, Iss 2, Pp 109-125 (2024)
The article aims to discuss the phenomenon known as “diversity dishonesty” (term “smoke and mirrors” was coined by Stacey Morin as a metaphor of diversity dishonesty). Diversity dishonesty is defined as encapsulating a complex scenario wherei
Externí odkaz:
https://doaj.org/article/408f6b72311242d488e389b89b800eea
Autor:
Hannah Martin, Laura Gribben, Áine Regan, Edgar Garcia Manzanilla, Conor G. McAloon, Alison M.G. Burrell
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 7, Pp 5001-5015 (2024)
ABSTRACT: Antimicrobial use (AMU) data are essential to monitor the effect of AMU reduction strategies in animal health. The use of technology and herd recording software to record AMU will be vital to scale the collation of these data in the future.
Externí odkaz:
https://doaj.org/article/d1f3fdb7b05e43d8bb9d273fe0e70352
Publikováno v:
Annales Geophysicae, Vol 42, Pp 255-269 (2024)
Recent advances in atmospheric observations and modeling have enabled the investigation of thermosphere–ionosphere interactions as a whole-atmosphere problem. This study examines how dynamical variability in the middle atmosphere (MA) affects intra
Externí odkaz:
https://doaj.org/article/fd50b488ebad4315b5f44b23a3eda83c