Zobrazeno 1 - 10
of 46
pro vyhledávání: '"XAI (explainable artificial intelligence)"'
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
IntroductionThe research in consumer neuroscience has identified computational methods, particularly artificial intelligence (AI) and machine learning, as a significant frontier for advancement. Previously, we utilized functional magnetic resonance i
Externí odkaz:
https://doaj.org/article/a80c041498d34c71b1e138f6763b73f6
Publikováno v:
Frontiers in Computer Science, Vol 5 (2023)
In recent years the use of complex machine learning has increased drastically. These complex black box models trade interpretability for accuracy. The lack of interpretability is troubling for, e.g., socially sensitive, safety-critical, or knowledge
Externí odkaz:
https://doaj.org/article/c6bd5b0a83b648c5937531ce1930b466
Publikováno v:
ریاضی و جامعه, Vol 7, Iss 2, Pp 37-67 (2022)
Logic language and science have been the basis of many reasoning and inference procedures in artificial intelligence for modeling the thinking and decision-making of the human brain. One kind of decision that is even difficult for human beings is ass
Externí odkaz:
https://doaj.org/article/cc838bd9d52f45f3adff35aca6d8de9d
Publikováno v:
Reviews in Cardiovascular Medicine, Vol 24, Iss 11, p 330 (2023)
Background: Cardiovascular diseases (CVD) remain the predominant global cause of mortality, with both low and high temperatures increasing CVD-related mortalities. Climate change impacts human health directly through temperature fluctuations and indi
Externí odkaz:
https://doaj.org/article/21fd3f76d0ad4dc28275d8b21e2610ad
Akademický článek
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Publikováno v:
Frontiers in Environmental Science, Vol 9 (2022)
Convolutional neural networks (CNNs) have been originally used for computer vision tasks, such as image classification. While several digital soil mapping studies have been assessing these deep learning algorithms for the prediction of soil propertie
Externí odkaz:
https://doaj.org/article/6a3043dc744b406ba758e542eabd962f
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 5978 (2022)
The scope of this research was to provide rice growers with optimal N-rate recommendations through precision agriculture applications. To achieve this goal, a prediction rice yield model was constructed, based on soil data, remote sensing data (optic
Externí odkaz:
https://doaj.org/article/960255b3a49c4611b787feb6269bc2b6
Akademický článek
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Autor:
Patrick Hall, Benjamin Cox, Steven Dickerson, Arjun Ravi Kannan, Raghu Kulkarni, Nicholas Schmidt
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
The use of machine learning (ML) has become more widespread in many areas of consumer financial services, including credit underwriting and pricing of loans. ML’s ability to automatically learn nonlinearities and interactions in training data is pe
Externí odkaz:
https://doaj.org/article/b47b4e98c48e49d5943207231507bc2d
Akademický článek
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