Self-Adaptive Clustering of Dynamic Multi-Graph Learning
DAP\(^2\)CMH: Deep Adversarial Privacy-Preserving Cross-Modal Hashing
A Robust Cost-Sensitive Feature Selection Via Self-Paced Learning Regularization
Robust Multi-view Classification with Sample Constraints
Single Image Deraining by Fully Exploiting Contextual Information
Semi-supervised Learning with Graph Convolutional Networks Based on Hypergraph
Semi-Supervised Classification of Graph Convolutional Networks with Laplacian Rank Constraints
BDKM: A Blockchain-Based Secure Deduplication Scheme with Reliable Key Management
Research for an Adaptive Classifier Based on Dynamic Graph Learning
Adaptive Graph Learning for Semi-supervised Self-paced Classification
Privacy Enhanced Cloud-Based Facial Recognition
Nonlinear Graph Learning-Convolutional Networks for Node Classification
Robust SVM for Cost-Sensitive Learning
Stacked Pyramid Attention Network for Object Detection
PPIS-JOIN: A Novel Privacy-Preserving Image Similarity Join Method
Video Super-Resolution with Frame-Wise Dynamic Fusion and Self-Calibrated Deformable Alignment
Multimodal Orthodontic Corpus Construction Based on Semantic Tag Classification Method
CNN-Based Hidden-Layer Topological Structure Design and Optimization Methods for Image Classification
The Understanding of Traffic Police Intention Based on Visual Awareness
Salp Swarm-Artificial Neural Network Based Cyber-Attack Detection in Smart Grid
Educational Data Mining: Dropout Prediction in XuetangX MOOCs
Domain Adaptation for POS Tagging with Contrastive Monotonic Chunk-wise Attention
A Robust Non-Fragile Control Lag Synchronization for Fractional Order Multi-Weighted Complex Dynamic Networks with Coupling Delays
Off-Policy: Model-Free Optimal Synchronization Control for Complex Dynamical Networks
Method of Rain Attenuation Prediction Based on Long–Short Term Memory Network
How Does Bayesian Noisy Self-Supervision Defend Graph Convolutional Networks?
Optimization of Propofol Dose Estimated During Anesthesia Through Artificial Intelligence by Genetic Algorithm: Design and Clinical Assessment
Neo Arithmetic and Ranking Techniques for Trapezoidal Generalized Interval Valued Fuzzy Numbers: Their Applications in Decision Making for Medical Investigation
Cost-Sensitive Learning based on Performance Metric for Imbalanced Data
Simplification of English and Bengali Sentences for Improving Quality of Machine Translation
Adaptive Synchronization-Based Approach for Finite-Time Parameters Identification of Genetic Regulatory Networks
A New Attention-Based LSTM for Image Captioning
Parameter Control Based Cuckoo Search Algorithm for Numerical Optimization
Attention-Guided Multi-Clue Mining Network for Person Re-identification
Distributed Neural Network and Particle Swarm Optimization for Micro-grid Adaptive Power Allocation
Real-Time Detection Network SI-SSD for Weak Targets in Complex Traffic Scenarios
Fixed-Size Objects Encoding for Visual Relationship Detection
Flood Frequency Modeling and Prediction of Beki and Pagladia Rivers Using Deep Learning Approach
Deep CNN Co-design for HEVC CU Partition Prediction on FPGA–SoC
Quasi-Synchronization and Complete Synchronization of Fractional-Order Fuzzy BAM Neural Networks Via Nonlinear Control
A Targeted Universal Attack on Graph Convolutional Network by Using Fake Nodes
Co-Learning for Few-Shot Learning
A New CNN-Based Model for Financial Time Series: TAIEX and FTSE Stocks Forecasting
A Performance Comparison of Robust Models in Wind Turbines Power Curve Estimation: A Case Study
CBR: An Effective Clustering Approach for Time Series Events
TFM: A Triple Fusion Module for Integrating Lexicon Information in Chinese Named Entity Recognition
Long Time Series Deep Forecasting with Multiscale Feature Extraction and Seq2seq Attention Mechanism
A Uniform Framework for Anomaly Detection in Deep Neural Networks
Iris Recognition using Multi Objective Artificial Bee Colony Optimization Algorithm with Autoencoder Classifier
3D Face Recognition Using a Fusion of PCA and ICA Convolution Descriptors
