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pro vyhledávání: '"Cartlidge P"'
Temporal Graph Learning (TGL) is crucial for capturing the evolving nature of stock markets. Traditional methods often ignore the interplay between dynamic temporal changes and static relational structures between stocks. To address this issue, we pr
Externí odkaz:
http://arxiv.org/abs/2412.04034
Autor:
Bullock, Seth, Ajmeri, Nirav, Batty, Mike, Black, Michaela, Cartlidge, John, Challen, Robert, Chen, Cangxiong, Chen, Jing, Condell, Joan, Danon, Leon, Dennett, Adam, Heppenstall, Alison, Marshall, Paul, Morgan, Phil, O'Kane, Aisling, Smith, Laura G. E., Smith, Theresa, Williams, Hywel T. P.
Publikováno v:
The Knowledge Engineering Review 39 (2024) e10
Advances in artificial intelligence (AI) have great potential to help address societal challenges that are both collective in nature and present at national or trans-national scale. Pressing challenges in healthcare, finance, infrastructure and susta
Externí odkaz:
http://arxiv.org/abs/2411.06211
Autor:
Bohorquez, Gonzalo, Cartlidge, John
Publikováno v:
36th European Modeling & Simulation Symposium (EMSS 2024), 026
We propose that a tree-like hierarchical structure represents a simple and effective way to model the emergent behaviour of financial markets, especially markets where there exists a pronounced intersection between social media influences and investo
Externí odkaz:
http://arxiv.org/abs/2409.00742
Autor:
Brennan Paul Noel, Cartlidge Peter, Robinson Emma, Amarthingalam Asthika, Dillon John Francis
Publikováno v:
Annals of Hepatology, Vol 27, Iss 1, Pp 100550- (2022)
Introduction and Objectives: Hepatitis C Virus (HCV) is a blood-borne, hepatotropic RNA virus causing both acute and chronic infection. Chronic HCV infection predisposes individuals to liver fibrosis, cirrhosis and hepatocellular carcinoma. Staging o
Externí odkaz:
https://doaj.org/article/cfc11a5cad2645b4aee6921d8df46d51
Publikováno v:
49th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, pp. 6545-6549
Stock trend classification remains a fundamental yet challenging task, owing to the intricate time-evolving dynamics between and within stocks. To tackle these two challenges, we propose a graph-based representation learning approach aimed at predict
Externí odkaz:
http://arxiv.org/abs/2401.05430
Publikováno v:
16th International Conference on Agents and Artificial Intelligence (ICAART), Volume 2, Feb. 2024, pp. 431-442
Forecasting future stock trends remains challenging for academia and industry due to stochastic inter-stock dynamics and hierarchical intra-stock dynamics influencing stock prices. In recent years, graph neural networks have achieved remarkable perfo
Externí odkaz:
http://arxiv.org/abs/2401.01846
Autor:
McGenity, Clare, Clarke, Emily L, Jennings, Charlotte, Matthews, Gillian, Cartlidge, Caroline, Freduah-Agyemang, Henschel, Stocken, Deborah D, Treanor, Darren
Ensuring diagnostic performance of AI models before clinical use is key to the safe and successful adoption of these technologies. Studies reporting AI applied to digital pathology images for diagnostic purposes have rapidly increased in number in re
Externí odkaz:
http://arxiv.org/abs/2306.07999
Autor:
Clegg, Lawrence, Cartlidge, John
We present a replication and correction of a recent article (Ramirez, P., Reade, J.J., Singleton, C., Betting on a buzz: Mispricing and inefficiency in online sportsbooks, International Journal of Forecasting, 39:3, 2023, pp. 1413-1423, doi: 10.1016/
Externí odkaz:
http://arxiv.org/abs/2306.01740
Autor:
Manjit K. Cartlidge, Kevin K. Brown, Nazia Chaudhuri, Tamera J. Corte, Phillipe Dieudé, Levin John, Clive Kelly, Dinesh Khanna, Euan McRorie, Lisa Nicol, Gareth Stewart, Simon L. F. Walsh, Marlies Wijsenbeek, Nik Hirani, PASSWRD participants
Publikováno v:
BMC Pulmonary Medicine, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Drugs used to treat rheumatic disease are associated with pneumotoxicity (drug-induced lung disease), but little is known about associated risk factors. Aim To determine expert physician-perceived risk factors for developing pneum
Externí odkaz:
https://doaj.org/article/0b9190e64c24423884260e0a813bd0fb
Autor:
Shi, Zijian, Cartlidge, John
Modern financial exchanges use an electronic limit order book (LOB) to store bid and ask orders for a specific financial asset. As the most fine-grained information depicting the demand and supply of an asset, LOB data is essential in understanding m
Externí odkaz:
http://arxiv.org/abs/2303.00080