107 citations · 443 across the 10 of their papers we have counts for
10 papers
A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic
Renato W. R. de Souza, João V. C. de Oliveira, Leandro A. Passos +3
In the past decades, fuzzy logic has played an essential role in many research areas. Alongside, graph-based pattern recognition has shown to be of great importance due to its flex…
On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI
Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar +4
In this paper classification of mental task-root Brain-Computer Interfaces (BCI) is being investigated, as those are a dominant area of investigations in BCI and are of utmost inte…
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…
Semi-supervised Feature Learning For Improving Writer Identification
Shiming Chen, Yisong Wang, Chin-Teng Lin +2
Data augmentation is usually used by supervised learning approaches for offline writer identification, but such approaches require extra training data and potentially lead to overf…
Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG
Zehong Cao, Chin-Teng Lin, Weiping Ding +3
This study explores the responses to ketamine in patients with treatment-resistant depression (TRD) using a wearable forehead electroencephalography (EEG) device. We recruited fift…