Zobrazeno 1 - 10
of 496
pro vyhledávání: '"sequence modeling"'
Publikováno v:
IEEE Access, Vol 12, Pp 157140-157148 (2024)
The deployment of artificial intelligence (AI) in decision-making applications requires ensuring an appropriate level of safety and reliability, particularly in changing environments that contain a large number of unknown observations. To address thi
Externí odkaz:
https://doaj.org/article/b67bcbfc9f674095a5e0bf0de4c6e354
Publikováno v:
IEEE Access, Vol 12, Pp 109380-109387 (2024)
Session recommender system (SRS) captures user’s sequential features based on historical behavior to predict the next-clicked item. The accuracy of extracting user’s session features directly determines the key performance of SRS. Existing sessio
Externí odkaz:
https://doaj.org/article/c0aec6845603429ca14048a602a94198
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10793-10812 (2024)
Synthetic aperture radar (SAR) is an active remote sensing system that utilizes radar to produce images of the Earth's surface. Due to its ability to operate under diverse weather conditions and throughout the day, SAR has gained significant attentio
Externí odkaz:
https://doaj.org/article/234aebc291354b2287ceefa308bb6eb1
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-21 (2023)
Abstract Background The escalation of viruses over the past decade has highlighted the need to determine their respective hosts, particularly for emerging ones that pose a potential menace to the welfare of both human and animal life. Yet, the tradit
Externí odkaz:
https://doaj.org/article/6eac510e46fd424ba7da2195f3523e9d
Publikováno v:
Brain Sciences, Vol 14, Iss 5, p 444 (2024)
Handwriting difficulty is a defining feature of Chinese developmental dyslexia (DD) due to the complex structure and dense information contained within compound characters. Despite previous attempts to use deep neural network models to extract handwr
Externí odkaz:
https://doaj.org/article/baeb02a3600a46dbbc8eba0c6cc212be
Autor:
Болин Чен
Publikováno v:
Современные инновации, системы и технологии, Vol 3, Iss 4 (2023)
Credit card attrition imposes a substantial business cost for financial institutions. Early and accurate prediction of customer churn allows banks to take proactive retention measures. However, modeling credit card attrition presents complex challeng
Externí odkaz:
https://doaj.org/article/8b4ca386f9124c4487385bfbd0d4e053
Autor:
Namyeong Lee, Jun Moon
Publikováno v:
IEEE Access, Vol 11, Pp 112577-112589 (2023)
Recently, with the increasing interest in investments in financial stock markets, several methods have been proposed to automatically trade stocks and/or predict future stock prices using machine learning techniques, such as reinforcement learning (R
Externí odkaz:
https://doaj.org/article/8d8658e82d124958bceadd119b268dab
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1786-1795 (2023)
Major depressive disorder (MDD) is a prevalent mental health condition and has become a pressing societal challenge. Early prediction of treatment response may aid in the rehabilitation engineering of depression, which is of great practical significa
Externí odkaz:
https://doaj.org/article/3bbc1e1c6a4f46e5ac19d3c41aeebee3
Publikováno v:
Jisuanji kexue, Vol 49, Iss 12, Pp 163-169 (2022)
Recommendation models typically use user’s historical behaviors to obtain user preference representations for recommendations.Most of the methods of learning user representations always entangle different preference factors,while the disentangled l
Externí odkaz:
https://doaj.org/article/ed60f63c7d4346188bf7860b01505092
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