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pro vyhledávání: '"Hei, Xinhong"'
Autor:
Zhao, Jinwei, Gori, Marco, Betti, Alessandro, Melacci, Stefano, Zhang, Hongtao, Liu, Jiedong, Hei, Xinhong
Gradient descent (GD) and stochastic gradient descent (SGD) have been widely used in a large number of application domains. Therefore, understanding the dynamics of GD and improving its convergence speed is still of great importance. This paper caref
Externí odkaz:
http://arxiv.org/abs/2409.06542
While deep learning models have been extensively utilized in motor imagery based EEG signal recognition, they often operate as black boxes. Motivated by neurological findings indicating that the mental imagery of left or right-hand movement induces e
Externí odkaz:
http://arxiv.org/abs/2409.00130
Publikováno v:
In Pattern Recognition February 2024 146
Autor:
Shao, Wei, Prabowo, Arian, Zhao, Sichen, Tan, Siyu, Konuiusz, Piotr, Chan, Jeffrey, Hei, Xinhong, Feest, Bradley, Salim, Flora D.
The prediction of flight delays plays a significantly important role for airlines and travelers because flight delays cause not only tremendous economic loss but also potential security risks. In this work, we aim to integrate multiple data sources t
Externí odkaz:
http://arxiv.org/abs/1911.01605
Akademický článek
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Publikováno v:
In Computers in Industry September 2023 150
Publikováno v:
In Computers in Biology and Medicine September 2023 164
Autor:
Zhao, Jinwei, Wang, Qizhou, Zhang, Fuqiang, Qiu, Wanli, Wang, Yufei, Liu, Yu, Xie, Guo, Ma, Weigang, Wang, Bin, Hei, Xinhong
Real artificial intelligence always has been focused on by many machine learning researchers, especially in the area of deep learning. However deep neural network is hard to be understood and explained, and sometimes, even metaphysics. The reason is,
Externí odkaz:
http://arxiv.org/abs/1910.09090
Publikováno v:
In Computers & Graphics June 2023 113:21-31
In recent years, machine learning researchers have focused on methods to construct flexible and interpretable prediction models. However, an interpretability evaluation, a relationship between generalization performance and an interpretability of the
Externí odkaz:
http://arxiv.org/abs/1811.10469