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A Mutual Information-Based Many-Objective Optimization Method for EEG Channel Selection in the Epileptic Seizure Prediction Task
A Mutual Information-Based Many-Objective Optimization Method for EEG Channel Selection in the Epileptic Seizure Prediction Task
Epileptic seizure prediction using multi-channel electroencephalogram (EEG) signals is very important in clinical therapy....
ArQuAD: An Expert-Annotated Arabic Machine Reading Comprehension Dataset
ArQuAD: An Expert-Annotated Arabic Machine Reading Comprehension Dataset
Machine Reading Comprehension (MRC) is a task that enables machines to mirror key cognitive processes involving reading, c...
Synchronization of Hypercomplex Neural Networks with Mixed Time-Varying Delays
Synchronization of Hypercomplex Neural Networks with Mixed Time-Varying Delays
This article discusses the fixed-time synchronization (FTS) of hypercomplex neural networks (HCNNs) with mixed time-varyin...
Motion Selectivity of the Local Filed Potentials in the Primary Visual Cortex of Rats: A Machine Learning Approach
Motion Selectivity of the Local Filed Potentials in the Primary Visual Cortex of Rats: A Machine Learning Approach
Using rodents as a model of physiological vision studies requires adequate information about their visual cortex. Although...
Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences
Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences
Hyperdimensional Computing (HDC), also known as Vector-Symbolic Architectures (VSA), is a promising framework for the deve...
Normal Template Mapping: An Association-Inspired Handwritten Character Recognition Model
Normal Template Mapping: An Association-Inspired Handwritten Character Recognition Model
In identifying objects, people usually associate memory templates to guide visual attention and determine the category of ...
Graph-Based Interactive Matching for Pairs of News Articles
Graph-Based Interactive Matching for Pairs of News Articles
Long-text document matching has been widely applied in many applications, such as topic detection and tracking and relativ...
A Novel Cognitively Inspired Deep Learning Approach to Detect Drivable Areas for Self-driving Cars
A Novel Cognitively Inspired Deep Learning Approach to Detect Drivable Areas for Self-driving Cars
Road drivable area detection is an important task in computer vision with applications in self-driving cars. Accurately de...
Transforming Conversations with AI—A Comprehensive Study of ChatGPT
Transforming Conversations with AI—A Comprehensive Study of ChatGPT
The field of cognitive computing, conversational AI has witnessed remarkable progress, largely driven by the development o...
Multi-Keys Attention Network for Image Captioning
Multi-Keys Attention Network for Image Captioning
The image captioning task aims to generate descriptions from the main content of images. Recently, the Transformer with a ...
MFCTrans: Multi-scale Feature Connection Transformer for Deformable Medical Image Registration
MFCTrans: Multi-scale Feature Connection Transformer for Deformable Medical Image Registration
Deformable Medical Image Registration (DMIR) aims to establish precise anatomical alignment of multiple medical images. Ho...
A Cognitive Medical Decision Support System for IoT-Based Human-Computer Interface in Pervasive Computing Environment
A Cognitive Medical Decision Support System for IoT-Based Human-Computer Interface in Pervasive Computing Environment
In today’s advanced applications, such as memory interfaces, feature-based detection, and sensory games, human-compu...
A Fistful of Vectors: A Tool for Intrinsic Evaluation of Word Embeddings
A Fistful of Vectors: A Tool for Intrinsic Evaluation of Word Embeddings
The utilization of word embeddings—powerful models computed through Neural Network architectures that encode words a...
Pupil Size Variations Reveal Information About Hierarchical Decision-Making Processes
Pupil Size Variations Reveal Information About Hierarchical Decision-Making Processes
Introduction: Pupil size is a well-known indicator of low-level decision-making processes. However, it is unclear whether ...
Feature Analysis Network: An Interpretable Idea in Deep Learning
Feature Analysis Network: An Interpretable Idea in Deep Learning
Deep Learning (DL) stands out as a leading model for processing high-dimensional data, where the nonlinear transformation ...
Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography
Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography
Driver drowsiness is a significant concern and one of the leading causes of traffic accidents. Advances in cognitive neuro...
Video Summarization Using Knowledge Distillation-Based Attentive Network
Video Summarization Using Knowledge Distillation-Based Attentive Network
The vast volumes of videos produced daily require highly efficient measures to ensure that key information is reported for...
AGD-Net: Attention-Guided Dense Inception U-Net for Single-Image Dehazing
AGD-Net: Attention-Guided Dense Inception U-Net for Single-Image Dehazing
Image hazing poses a significant challenge in various computer vision applications, degrading the visual quality and reduc...
Synaptic Facilitation: A Key Biological Mechanism for Resource Allocation in Computational Models of Working Memory
Synaptic Facilitation: A Key Biological Mechanism for Resource Allocation in Computational Models of Working Memory
Working memory (WM) is a crucial cognitive function required to maintain and manipulate information that is no longer pres...
Real-Time Multi-Class Classification of Respiratory Diseases Through Dimensional Data Combinations
Real-Time Multi-Class Classification of Respiratory Diseases Through Dimensional Data Combinations
In recent times, there has been active research on multi-disease classification that aim to diagnose lung diseases and res...
A Cognitively Inspired Multi-granularity Model Incorporating Label Information for Complex Long Text Classification
A Cognitively Inspired Multi-granularity Model Incorporating Label Information for Complex Long Text Classification
Because the abstracts contain complex information and the labels of abstracts do not contain information about categories,...
Event-Triggered Adaptive Neural Control for Full State-Constrained Nonlinear Systems with Unknown Disturbances
Event-Triggered Adaptive Neural Control for Full State-Constrained Nonlinear Systems with Unknown Disturbances
This paper focuses on the adaptive control issue for a class of uncertain nonlinear systems subject to full state constrai...
Global Exponential Synchronization of Clifford-Valued Memristive Fuzzy Neural Networks with Delayed Impulses
Global Exponential Synchronization of Clifford-Valued Memristive Fuzzy Neural Networks with Delayed Impulses
The global exponential synchronization of Clifford-valued memristive fuzzy neural networks (CLVMFNNs) with delayed impulse...
Classification of Developmental and Brain Disorders via Graph Convolutional Aggregation
Classification of Developmental and Brain Disorders via Graph Convolutional Aggregation
While graph convolution-based methods have become the de-facto standard for graph representation learning, their applicati...
Non-linear Feature Selection Based on Convolution Neural Networks with Sparse Regularization
Non-linear Feature Selection Based on Convolution Neural Networks with Sparse Regularization
The efficacy of feature selection methods in dimensionality reduction and enhancing the performance of learning algorithms...
MC-GAT: Multi-Channel Graph Attention Networks for Capturing Diverse Information in Complex Graphs
MC-GAT: Multi-Channel Graph Attention Networks for Capturing Diverse Information in Complex Graphs
Graph attention networks (GAT), which have strong performance in tackling various analytical tasks on network data, have a...
Gradient-Based Competitive Learning: Theory
Gradient-Based Competitive Learning: Theory
Deep learning has been recently used to extract the relevant features for representing input data also in the unsupervised...