Editorial Board
Unpaired font family synthesis using conditional generative adversarial networks
Weighted oversampling algorithms for imbalanced problems and application in prediction of streamflow
Pseudo-margin-based universal domain adaptation
Two-stage routing with optimized guided search and greedy algorithm on proximity graph
Label Disentangled Analysis for unsupervised visual domain adaptation
A multimodal hierarchical approach to speech emotion recognition from audio and text
Knowledge transfer-based distributed differential evolution for dynamic database fragmentation
Sparse flow adversarial model for robust image compression
Channel–spatial attention-based pan-sharpening of very high-resolution satellite images
Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation
ITÖ algorithm with local search for large scale multiple balanced traveling salesmen problem
Prob-CLR: A probabilistic approach to learn discriminative representation
Variational Bayes survival analysis for unemployment modelling
Opposition-Inspired synergy in sub-colonies of ants: The case of Focused Ant Solver
CS-GAN: Cross-Structure Generative Adversarial Networks for Chinese calligraphy translation
DMDIT: Diverse multi-domain image-to-image translation
Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion
Robust semi-supervised classification based on data augmented online ELMs with deep features
Multi-label classification with Missing Labels using Label Correlation and Robust Structural Learning
Dimensions of commonsense knowledge
A deep learning approach for semi-supervised community detection in Online Social Networks
Knowledge-based self-calibration method of calibration phantom by and for accurate robot-based CT imaging systems
A federated learning system with enhanced feature extraction for human activity recognition
An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation
Knowledge graph embedding by relational and entity rotation
Granular ball guided selector for attribute reduction
Learning cognitive embedding using signed knowledge interaction graph
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector
Dialogue summarization with supporting utterance flow modelling and fact regularization
Stereo priori RCNN based car detection on point level for autonomous driving
Graph neural networks with multiple kernel ensemble attention
Double bayesian pairwise learning for one-class collaborative filtering
Safe instance screening for primal multi-label ProSVM
What is this Cluster about? Explaining textual clusters by extracting relevant keywords
Identifying super-spreaders in information–epidemic coevolving dynamics on multiplex networks
Learning hyperbolic attention-based embeddings for link prediction in knowledge graphs
A key elements influence discovery scheme based on ternary association graph and representation learning
Time-aware approximate collective keyword search in traffic networks
A novel grey prediction model for seasonal time series
ESPPTD:An efficient slicing-based privacy-preserving truth discovery in mobile crowd sensing
APER: AdaPtive Evidence-driven Reasoning Network for machine reading comprehension with unanswerable questions
Multi-strategy co-evolutionary differential evolution for mixed-variable optimization
Blockchain and multi-agent system for meme discovery and prediction in social network
Learning and fusing multiple hidden substages for action quality assessment
Con2Vec: Learning embedding representations for contrast sets
Multi-view feature fusion for person re-identification
HANP-Miner: High average utility nonoverlapping sequential pattern mining
Combining cross-modal knowledge transfer and semi-supervised learning for speech emotion recognition
Sentiment analysis using novel and interpretable architectures of Hidden Markov Models
