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04/01/2023
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability
Random label noises (or observational noises) widely exist in practical ...
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11/28/2022
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces
Machine learning has achieved great success in electroencephalogram (EEG...
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07/20/2022
Facial Affect Analysis: Learning from Synthetic Data Multi-Task Learning Challenges
Facial affect analysis remains a challenging task with its setting trans...
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06/07/2022
PyTSK: A Python Toolbox for TSK Fuzzy Systems
This paper presents PyTSK, a Python toolbox for developing Takagi-Sugeno...
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10/07/2021
AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow
Principal component analysis (PCA) has been widely used as an effective ...
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10/06/2021
Exploring the Common Principal Subspace of Deep Features in Neural Networks
We find that different Deep Neural Networks (DNNs) trained with the same...
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02/08/2021
Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions
Takagi-Sugeno-Kang (TSK) fuzzy system with Gaussian membership functions...
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02/04/2021
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
Physiological computing uses human physiological data as system inputs i...
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11/30/2020
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief
To effectively optimize Takagi-Sugeno-Kang (TSK) fuzzy systems for regre...
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10/30/2020
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks
Research and development of electroencephalogram (EEG) based brain-compu...
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09/02/2020
Overcoming Negative Transfer: A Survey
Transfer learning aims to help the target task with little or no trainin...
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07/03/2020
Transfer Learning for Brain-Computer Interfaces: A Complete Pipeline
Transfer learning (TL) has been widely used in electroencephalogram (EEG...
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04/29/2020
Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNs
Over-parameterized deep neural networks (DNNs) with sufficient capacity ...
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04/13/2020
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016
A brain-computer interface (BCI) enables a user to communicate with a co...
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04/13/2020
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progresses Since 2016
A brain-computer interface (BCI) enables a user to communicate directly ...
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03/01/2020
MBGD-RDA Training and Rule Pruning for Concise TSK Fuzzy Regression Models
To effectively train Takagi-Sugeno-Kang (TSK) fuzzy systems for regressi...
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02/27/2020
Supervised Enhanced Soft Subspace Clustering (SESSC) for TSK Fuzzy Classifiers
Fuzzy c-means based clustering algorithms are frequently used for Takagi...
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01/30/2020
Tiny Noise Can Make an EEG-Based Brain-Computer Interface Speller Output Anything
An electroencephalogram (EEG) based brain-computer interface (BCI) spell...
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01/28/2020
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications
Brain-Computer Interface (BCI) is a powerful communication tool between ...
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01/14/2020
Unsupervised Pool-Based Active Learning for Linear Regression
In many real-world machine learning applications, unlabeled data can be ...
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01/09/2020
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction
Dimensionality reduction is an important operation in information visual...
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01/08/2020
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning
Fatigue is the most vital factor of road fatalities and one manifestatio...
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01/04/2020
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks
A deep neural network (DNN) with piecewise linear activations can partit...
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12/03/2019
Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs
Multiple convolutional neural network (CNN) classifiers have been propos...
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12/03/2019
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach
A brain-computer interface (BCI) system usually needs a long calibration...
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12/03/2019
Heterogeneous Label Space Transfer Learning for Brain-Computer Interfaces: A Label Alignment Approach
A brain-computer interface (BCI) system usually needs a long calibration...
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12/01/2019
Transferability versus Discriminability: Joint Probability Distribution Adaptation (JPDA)
Transfer learning makes use of data or knowledge in one task to help sol...
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11/10/2019
In Vitro Fertilization (IVF) Cumulative Pregnancy Rate Prediction from Basic Patient Characteristics
Tens of millions of women suffer from infertility worldwide each year. I...
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11/07/2019
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces
Deep learning has made significant breakthroughs in many fields, includi...
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11/07/2019
White-Box Target Attack for EEG-Based BCI Regression Problems
Machine learning has achieved great success in many applications, includ...
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10/14/2019
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
Transfer learning makes use of data or knowledge in one problem to help ...
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09/25/2019
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training
Drowsy driving is pervasive, and also a major cause of traffic accidents...
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08/22/2019
Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos
Time-lapse is a technology used to record the development of embryos dur...
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08/16/2019
Multi-View Broad Learning System for Primate Oculomotor Decision Decoding
Multi-view learning improves the learning performance by utilizing multi...
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08/01/2019
Optimize TSK Fuzzy Systems for Big Data Classification Problems: Bag of Tricks
Takagi-Sugeno-Kang (TSK) fuzzy systems are flexible and interpretable ma...
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07/03/2019
Recommendations on Designing Practical Interval Type-2 Fuzzy Systems
Interval type-2 (IT2) fuzzy systems have become increasingly popular in ...
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07/03/2019
Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview
Multi-view learning (MVL) is a strategy for fusing data from different s...
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07/02/2019
Protecting Privacy of Users in Brain-Computer Interface Applications
Machine learning (ML) is revolutionizing research and industry. Many ML ...
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06/01/2019
Patch Learning
There have been different strategies to improve the performance of a mac...
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03/31/2019
On the Vulnerability of CNN Classifiers in EEG-Based BCIs
Deep learning has been successfully used in numerous applications becaus...
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03/26/2019
Optimize TSK Fuzzy Systems for Big Data Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA)
Takagi-Sugeno-Kang (TSK) fuzzy systems are very useful machine learning ...
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03/26/2019
Active Stacking for Heart Rate Estimation
Heart rate estimation from electrocardiogram signals is very important f...
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03/25/2019
On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression
Fuzzy systems have achieved great success in numerous applications. Howe...
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12/15/2018
Multi-Tasking Evolutionary Algorithm (MTEA) for Single-Objective Continuous Optimization
Multi-task learning uses auxiliary data or knowledge from relevant tasks...
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08/08/2018
Transfer Learning for Brain-Computer Interfaces: An Euclidean Space Data Alignment Approach
Almost all EEG-based brain-computer interfaces (BCIs) need some labeled ...
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08/08/2018
EEG-Based Driver Drowsiness Estimation Using Convolutional Neural Networks
Deep learning, including convolutional neural networks (CNNs), has start...
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08/08/2018
Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach
The electroencephalogram (EEG) is the most widely used input for brain c...
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08/08/2018
Real-time fMRI-based Brain Computer Interface: A Review
In recent years, the rapid development of neuroimaging technology has be...
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08/08/2018
Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression
Acquisition of labeled training samples for affective computing is usual...
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08/08/2018
