Graph Barlow Twins: A self-supervised representation learning framework for graphs
A framework for adapting online prediction algorithms to outlier detection over time series
Knowledge graph attention mechanism for distant supervision neural relation extraction
A deep learning method for automatic evaluation of diagnostic information from multi-stained histopathological images
Segmentation for regions of interest in radiotherapy by self-supervised learning
Deep transfer learning with metric structure for fault diagnosis
Dual-grained directional representation for infectious disease case prediction
Discrete Artificial Algae Algorithm for solving Job-Shop Scheduling Problems
Transfer learning based on improved stacked autoencoder for bearing fault diagnosis
Efficient approach of sliding window-based high average-utility pattern mining with list structures
An intellectual intrusion detection system using Hybrid Hunger Games Search and Remora Optimization Algorithm for IoT wireless networks
Frequency-driven channel attention-augmented full-scale temporal modeling network for skeleton-based action recognition
A dynamic feature selection and intelligent model serving for hybrid batch-stream processing
Deception detection on social media: A source-based perspective
Dual Prototype Contrastive learning with Fourier Generalization for Domain Adaptive Person Re-identification
Efficient complementary graph convolutional network without negative sampling for item recommendation
Boosting aspect category detection with inference heuristics and knowledge enhancement
Sentiment interaction and multi-graph perception with graph convolutional networks for aspect-based sentiment analysis
An improved clustering based multi-objective evolutionary algorithm for influence maximization under variable-length solutions
PTrustE: A high-accuracy knowledge graph noise detection method based on path trustworthiness and triple embedding
Hierarchical Interactive Network for joint aspect extraction and sentiment classification
Multi-instance semantic similarity transferring for knowledge distillation
GCL-OSDA: Uncertainty prediction-based graph collaborative learning for open-set domain adaptation
Symmetric uncertainty-incorporated probabilistic sequence-based ant colony optimization for feature selection in classification
Predicting missing pairwise preferences from similarity features in group decision making
PCAE: A framework of plug-in conditional auto-encoder for controllable text generation
LRP2A: Layer-wise Relevance Propagation based Adversarial attacking for Graph Neural Networks
An exploration of mutual information based on emotion–cause pair extraction
