4 citations · 4 across the 2 of their papers we have counts for
8 papers
Explainable Fuzzy Utility Mining on Sequences
Wensheng Gan, Zilin Du, Weiping Ding +2
Fuzzy systems have good modeling capabilities in several data science scenarios, and can provide human-explainable intelligence models with explainability and interpretability. In…
Discovering High Utility-Occupancy Patterns from Uncertain Data
Chien-Ming Chen, Lili Chen, Wensheng Gan +2
It is widely known that there is a lot of useful information hidden in big data, leading to a new saying that "data is money." Thus, it is prevalent for individuals to mine crucial…
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
Shiming Chen, Wenjie Wang, Beihao Xia +3
Generative adversarial networks (GANs) have been a popular deep generative model for real-world applications. Despite many recent efforts on GANs that have been contributed, mode c…
A General Approach for Using Deep Neural Network for Digital Watermarking
Yurui Ming, Weiping Ding, Zehong Cao +1
Technologies of the Internet of Things (IoT) facilitate digital contents such as images being acquired in a massive way. However, consideration from the privacy or legislation pers…
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples
Mahardhika Pratama, Choiru Za'in, Andri Ashfahani +2
Autonomous construction of deep neural network (DNNs) is desired for data streams because it potentially offers two advantages: proper model's capacity and quick reaction to drift…
Effects of Repetitive SSVEPs on EEG Complexity using Multiscale Inherent Fuzzy Entropy
Zehong Cao, Weiping Ding, Yu-Kai Wang +3
Multiscale inherent fuzzy entropy is an objective measurement of electroencephalography (EEG) complexity, reflecting the habituation of brain systems. Entropy dynamics are generall…