Evolving subgraph matching on temporal graphs
Predictive analytics for demand forecasting: A deep learning-based decision support system
Distributed group cooperation with multi-mechanism fusion in an adversarial environment
A convex multi-class model via distance metric learning based class-to-instance confidence
Preserving bilateral view structural information for subspace clustering
Individual Diversity Preference Aware Neural Collaborative Filtering
Multi-Scale MLP-Mixer for image classification
Optimized radio-frequency identification system for different warehouse shapes
SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain
Bi-graph attention network for aspect category sentiment classification
Supervised contrastive learning for recommendation
Sector-level sentiment analysis with deep learning
Joint event causality extraction using dual-channel enhanced neural network
Building and exploiting spatial–temporal knowledge graph for next POI recommendation
A novel deep neural network for detection of Atrial Fibrillation using ECG signals
TCURL: Exploring hybrid transformer and convolutional neural network on phishing URL detection
elBERto: Self-supervised commonsense learning for question answering
Improving multimodal fusion with Main Modal Transformer for emotion recognition in conversation
Asymmetric and robust loss function driven least squares support vector machine
Interpreting sarcasm on social media using attention-based neural networks
Fuzzy granular deep convolutional network with residual structures
Revisiting data augmentation for subspace clustering
Integrating implicit and explicit linguistic phenomena via multi-task learning for offensive language detection
A methodology for controlling the information quality in interval-valued fusion processes: Theory and application
Multi-network contrastive learning of visual representations
A deep learning guided memetic framework for graph coloring problems
Transformer-based Dynamic Fusion Clustering Network
Integrating deep reinforcement learning with pointer networks for service request scheduling in edge computing
Intelligent optimization under blocking constraints: A novel iterated greedy algorithm for the hybrid flow shop group scheduling problem
Learning aspect-level complementarity for intent-aware complementary recommendation
