6 citations · 6 across the 4 of their papers we have counts for
6 papers
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm
Jinwei Zhao, Marco Gori, Alessandro Betti +4
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 improvin…
Mirror contrastive loss based sliding window transformer for subject-independent motor imagery based EEG signal recognition
Jing Luo, Qi Mao, Weiwei Shi +4
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 indic…
Flight Delay Prediction using Airport Situational Awareness Map
Wei Shao, Arian Prabowo, Sichen Zhao +6
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 sec…
A game method for improving the interpretability of convolution neural network
Jinwei Zhao, Qizhou Wang, Fuqiang Zhang +7
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 und…
How far from automatically interpreting deep learning
Jinwei Zhao, Qizhou Wang, Yufei Wang +2
In recent years, deep learning researchers have focused on how to find the interpretability behind deep learning models. However, today cognitive competence of human has not comple…
How to improve the interpretability of kernel learning
Jinwei Zhao, Qizhou Wang, Yufei Wang +3
In recent years, machine learning researchers have focused on methods to construct flexible and interpretable prediction models. However, an interpretability evaluation, a relation…