400 citations · 1.6k across the 69 of their papers we have counts for
15 papers · 1 filter
Multi-Tasking Genetic Algorithm (MTGA) for Fuzzy System Optimization
Dongrui Wu, Xianfeng Tan
Multi-task learning uses auxiliary data or knowledge from relevant tasks to facilitate the learning in a new task. Multi-task optimization applies multi-task learning to optimizati…
EEG-Based Driver Drowsiness Estimation Using Convolutional Neural Networks
Yuqi Cui, Dongrui Wu
Deep learning, including convolutional neural networks (CNNs), has started finding applications in brain-computer interfaces (BCIs). However, so far most such approaches focused on…
Spatial Filtering for Brain Computer Interfaces: A Comparison between the Common Spatial Pattern and Its Variant
He He, Dongrui Wu
The electroencephalogram (EEG) is the most popular form of input for brain computer interfaces (BCIs). However, it can be easily contaminated by various artifacts and noise, e.g.,…
Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach
He He, Dongrui Wu
The electroencephalogram (EEG) is the most widely used input for brain computer interfaces (BCIs), and common spatial pattern (CSP) is frequently used to spatially filter it to inc…
Real-time fMRI-based Brain Computer Interface: A Review
Yang Wang, Dongrui Wu
In recent years, the rapid development of neuroimaging technology has been providing many powerful tools for cognitive neuroscience research. Among them, the functional magnetic re…
Active Learning for Regression Using Greedy Sampling
Dongrui Wu, Chin-Teng Lin, Jian Huang
Regression problems are pervasive in real-world applications. Generally a substantial amount of labeled samples are needed to build a regression model with good generalization abil…
Feature Dimensionality Reduction for Video Affect Classification: A Comparative Study
Chenfeng Guo, Dongrui Wu
Affective computing has become a very important research area in human-machine interaction. However, affects are subjective, subtle, and uncertain. So, it is very difficult to obta…
Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach
He He, Dongrui Wu
Objective: This paper targets a major challenge in developing practical EEG-based brain-computer interfaces (BCIs): how to cope with individual differences so that better learning…
Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression
Dongrui Wu, Jian Huang
Acquisition of labeled training samples for affective computing is usually costly and time-consuming, as affects are intrinsically subjective, subtle and uncertain, and hence multi…
Multi-View Fuzzy Logic System with the Cooperation between Visible and Hidden Views
Te Zhang, Zhaohong Deng, Dongrui Wu +1
Multi-view datasets are frequently encountered in learning tasks, such as web data mining and multimedia information analysis. Given a multi-view dataset, traditional learning algo…
Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration
Dongrui Wu
Single-trial classification of event-related potentials in electroencephalogram (EEG) signals is a very important paradigm of brain-computer interface (BCI). Because of individual…
Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface
Dongrui Wu, Vernon J. Lawhern, Stephen Gordon +2
Ensemble learning is a powerful approach to construct a strong learner from multiple base learners. The most popular way to aggregate an ensemble of classifiers is majority voting,…
Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression
Dongrui Wu, Vernon J. Lawhern, Stephen Gordon +2
There are many important regression problems in real-world brain-computer interface (BCI) applications, e.g., driver drowsiness estimation from EEG signals. This paper considers of…
Pool-Based Sequential Active Learning for Regression
Dongrui Wu
Active learning is a machine learning approach for reducing the data labeling effort. Given a pool of unlabeled samples, it tries to select the most useful ones to label so that a…
OMG - Emotion Challenge Solution
Yuqi Cui, Xiao Zhang, Yang Wang +2
This short paper describes our solution to the 2018 IEEE World Congress on Computational Intelligence One-Minute Gradual-Emotional Behavior Challenge, whose goal was to estimate co…