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09/04/2023
A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey
The growing interest in the Metaverse has generated momentum for members...
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02/22/2023
An EEG-based Experiment on VR Sickness and Postural Instability While Walking in Virtual Environments
Previous studies showed that natural walking reduces the susceptibility ...
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12/07/2022
Deep Learning for Brain Age Estimation: A Systematic Review
Over the years, Machine Learning models have been successfully employed ...
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11/03/2022
FedTP: Federated Learning by Transformer Personalization
Federated learning is an emerging learning paradigm where multiple clien...
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09/18/2022
Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization
Recently, distributed semi-supervised learning (DSSL) algorithms have sh...
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06/24/2022
Toward multi-target self-organizing pursuit in a partially observable Markov game
The multiple-target self-organizing pursuit (SOP) problem has wide appli...
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05/31/2022
Semantic Autoencoder and Its Potential Usage for Adversarial Attack
Autoencoder can give rise to an appropriate latent representation of the...
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11/16/2021
On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI
In this paper classification of mental task-root Brain-Computer Interfac...
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09/14/2021
Deep hierarchical reinforcement agents for automated penetration testing
Penetration testing the organised attack of a computer system in order t...
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01/18/2021
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
Brain Computer Interface technologies are popular methods of communicati...
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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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07/25/2020
Human Preference Scaling with Demonstrations For Deep Reinforcement Learning
The current reward learning from human preferences could be used for res...
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06/17/2020
Multi-Subspace Neural Network for Image Recognition
In image classification task, feature extraction is always a big issue. ...
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06/07/2020
EnK: Encoding time-information in convolution
Recent development in deep learning techniques has attracted attention i...
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04/27/2020
Clustering via torque balance with mass and distance
Grouping similar objects is a fundamental tool of scientific analysis, u...
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03/08/2020
A General Approach for Using Deep Neural Network for Digital Watermarking
Technologies of the Internet of Things (IoT) facilitate digital contents...
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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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01/09/2020
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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12/19/2019
Intra-Variable Handwriting Inspection Reinforced with Idiosyncrasy Analysis
In this paper, we work on intra-variable handwriting, where the writing ...
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11/27/2019
Adaptive Initialization Method for K-means Algorithm
The K-means algorithm is a widely used clustering algorithm that offers ...
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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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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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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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02/08/2019
Hierarchical Critics Assignment for Multi-agent Reinforcement Learning
In this paper, we investigate the use of global information to speed up ...
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09/18/2018
Dynamically Weighted Ensemble-based Prediction System for Adaptively Modeling Driver Reaction Time
Predicting a driver's cognitive state, or more specifically, modeling a ...
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09/18/2018
Extraction of SSVEPs-based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients
Inherent fuzzy entropy is an objective measurement of electroencephalogr...
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08/08/2018
Active Learning for Regression Using Greedy Sampling
Regression problems are pervasive in real-world applications. Generally ...
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07/15/2018
Semi-Supervised Feature Learning for Off-Line Writer Identifications
Conventional approaches used supervised learning to estimate off-line wr...
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05/12/2018
Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface
Ensemble learning is a powerful approach to construct a strong learner f...
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05/12/2018