Machine Learning
An AdaBoost Based- Deep Stochastic Configuration Network
Comparative Study of Chaos-embedded Particle Swarm Optimization
A Novel Feature Selection Algorithm Based on Aquila Optimizer for COVID-19 Classification
Inductive Light Graph Convolution Network for Text Classification based on Word-Label Graph
Sparse Subspace Clustering Based on Adaptive Parameter Training
A Hybrid Multi-objective Optimization Algorithm with Improved Neighborhood Rough Sets for Feature Selection
Augmenting Convolution Neural Networks By Utilizing Attention Mechanism for Knowledge Tracing
Data Mining
Interactive Mining of User-Preferred Co-Location Patterns Based on SVM
Classification between Rumors and Explanations of Rumors based on Common and Difference Subsequences of Sentences
Double-Channel Multi-layer Information Fusion for Text Matching
Augmenting Context Representation with Triggers Knowledge for Relation Extraction
Does Large Pretrained Dataset always help? On the Effect of Dataset Size on Big Transfer Model
Using Multi-level Attention based on Concept Embedding Enrichen Short Text to Classification
Multiagent Systems
Pre-loaded Deep-Q Learning
Resource Scheduling for Human-Machine Collaboration in Multiagent Systems
Social Computing
Automatic Generation and Analysis of Role Relation Network from Emergency Plans
Information Tracking Extraction for Emergency Scenario Response
Neighborhood Network for Aspect-based Sentiment Analysis
A Hybrid Parallel Algorithm with Multiple Improved Strategies
Blockchain Technology
Research on Blockchain Privacy Protection Mechanism in Financial Transaction Services based on Zero-knowledge Proof and Federal Learning
A Distributed Supply Chain Architecture Based on Blockchain Technology
Game Theory and Emotion
A Game-Theoretic Analysis of Impulse Purchase
A Self-supervised Strategy for the Robustness of VQA Models
Employing Contrastive Strategies for Multi-label Textual Emotion Recognition
Pattern Recognition
Fault Localization Based on Deep Neural Network and Execution Slicing
Defect Detection and Classification of Strip Steel based on Improved VIT Model
ROSES: A novel semi-supervised feature selector
Improving speech emotion recognition by fusing pre-trained and acoustic features using Transformer and BiLSTM
A Pear Leaf Diseases Image Recognition Model Based on Capsule Network
Software Defect Prediction Method Based on Cost-Sensitive Random Forest
Fault Diagnosis of Sewage Treatment Equipment Based on Feature Selection
Attention Adaptive Chinese Named Entity Recognition Based on Vocabulary Enhancement
Image Processing
A HEp-2 Cell Image Classification Model Based on Deep Residual Shrinkage Network Combined with Dilated Convolution
A Method on Online Learning Video Recommendation Method Based on Knowledge Graph
Data Transformation for Super-Resolution on Ocean Remote Sensing Images
A Novel RGBD Image Superpixel Segmentation Intergrated Depth Map Quality
Super-Resolution of Defocus Thread Image Based on Cycle Generative Adversarial Networks
Multi-instance Learning for Semantic Image Analysis
High-resolution Remote Sensing Image Semantic Segmentation Method Based on Improved Encoder-Decoder Convolutional Neural Network
Applications
A Method for AGV Double-cycling Scheduling at Automated Container Terminals
Predicting Student Performance In Online Learning Using A Highly Efficient Gradient Boosting Decision Tree
Adapting on Road Traffic-oriented Controlled Optimization of Phases to Heterogeneous Intersections
A Method of Garbage Quantity Prediction based on Population Change.