Zobrazeno 1 - 10
of 100
pro vyhledávání: '"CHUNKAI ZHANG"'
Publikováno v:
Information, Vol 14, Iss 9, p 499 (2023)
This research primarily explores the application of Natural Language Processing (NLP) technology in precision financial fraud detection, with a particular focus on the implementation and optimization of the FinChain-BERT model. Firstly, the FinChain-
Externí odkaz:
https://doaj.org/article/2a597bfcd7e2458db39f30436e1bd7fe
Publikováno v:
Communications Materials, Vol 2, Iss 1, Pp 1-11 (2021)
Graph neural networks are an accurate machine learning-based approach for property prediction. Here, a geometric-information-enhanced crystal graph neural network is demonstrated, which accurately predicts the formation energy and band gap of crystal
Externí odkaz:
https://doaj.org/article/7942b7f2b0a14299851df024aa50898d
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 4, Pp 3478-3497 (2020)
Anomaly detection has been widely researched in financial, biomedical and other areas. However, most existing algorithms have high time complexity. Another important problem is how to efficiently detect anomalies while protecting data privacy. In thi
Externí odkaz:
https://doaj.org/article/c3a54a503c7f475399c5776e841135da
Publikováno v:
Mathematical Biosciences and Engineering, Vol 16, Iss 4, Pp 2154-2167 (2019)
ECG anomaly detection is a necessary approach to detect disease Electrocardiography(ECG) signals before the detail diagnosis process in medical field to gauge the health of the human heart. Nowadays, there are many anomaly detection methods for ECG d
Externí odkaz:
https://doaj.org/article/3e23ab799a604feeaf601d3bb5c7ceb0
Publikováno v:
IEEE Access, Vol 7, Pp 145435-145443 (2019)
Learning from class-imbalanced data is a challenging problem as standard classification algorithms are designed to handle balanced class distributions. Scholars solve this problem by modifying classifiers or and generating artificial data by oversamp
Externí odkaz:
https://doaj.org/article/7c158445c27c40ecb2d1b6de0e163de3
Publikováno v:
IEEE Transactions on Big Data. 9:512-527
Significant efforts have been expended in the research and development of a database management system (DBMS) that has a wide range of applications for managing an enormous collection of multisource, heterogeneous, complex, or growing data. Besides t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16aceb1b978f2fd03e4efaedc8675892
https://doi.org/10.1109/tbdata.2022.3175428
https://doi.org/10.1109/tbdata.2022.3175428
Publikováno v:
International Journal of Machine Learning and Cybernetics. 14:683-696
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ec488826246a0ffecafea788f1c2a91
https://doi.org/10.1007/s13042-022-01657-w
https://doi.org/10.1007/s13042-022-01657-w
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Jan2024, Vol. 18 Issue 1, p1-21, 21p
Publikováno v:
China Communications. 19:201-213
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ba24d31c63cf93b49f6b9776f7f4dd9
https://doi.org/10.23919/jcc.2022.02.016
https://doi.org/10.23919/jcc.2022.02.016
Publikováno v:
Neurocomputing. 468:222-232
Session-based recommendation, which aims to predict subsequent user actions based on anonymous sessions, plays a significant role in many online services. Existing methods construct each session as a digraph and then capture the rich transition relat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf9942396c8371469c85ae8512bd6c57
https://doi.org/10.1016/j.neucom.2021.10.028
https://doi.org/10.1016/j.neucom.2021.10.028