Editorial Board
The autonomous navigation and obstacle avoidance for USVs with ANOA deep reinforcement learning method
RETRACTED: A novel twin minimax probability machine for classification and regression
Software defect prediction based on correlation weighted class association rule mining
Deep model with neighborhood-awareness for text tagging
Layer-constrained variational autoencoding kernel density estimation model for anomaly detection
One-class support vector classifiers: A survey
Credibility score based multi-criteria recommender system
Deep generative models for reject inference in credit scoring
Detecting community in attributed networks by dynamically exploring node attributes and topological structure
Ensemble deep contractive auto-encoders for intelligent fault diagnosis of machines under noisy environment
Find you if you drive: Inferring home locations for vehicles with surveillance camera data
Inverse projection group sparse representation for tumor classification: A low rank variation dictionary approach
Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms
A two-individual based path-relinking algorithm for the satellite broadcast scheduling problem
Unsupervised dimensionality reduction for very large datasets: Are we going to the right direction?
Multi-scale generative adversarial inpainting network based on cross-layer attention transfer mechanism
Multi-Objective Volleyball Premier League algorithm
The concept of unavoidable features in fuzzy relational compositions
On modeling and predicting popularity dynamics via integrating generative model and rich features
Particle swarm optimization with adaptive learning strategy
Measures of uncertainty based on Gaussian kernel for a fully fuzzy information system
An online Bayesian approach to change-point detection for categorical data
Multi-focus image fusion based on dynamic threshold neural P systems and surfacelet transform
Learning discriminative domain-invariant prototypes for generalized zero shot learning
Pair-wise Preference Relation based Probabilistic Matrix Factorization for Collaborative Filtering in Recommender System
NetSRE: Link predictability measuring and regulating
Toward semantic data imputation for a dengue dataset
A filter-based feature construction and feature selection approach for classification using Genetic Programming
Knowledge graph entity typing via learning connecting embeddings
IntelliBot: A Dialogue-based chatbot for the insurance industry
NetNCSP: Nonoverlapping closed sequential pattern mining
A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data
CAVIAR: Context-driven Active and Incremental Activity Recognition
ACO Resampling: Enhancing the performance of oversampling methods for class imbalance classification
A kernel based learning method for non-stationary two-player repeated games
Node proximity preserved dynamic network embedding via matrix perturbation
Exploring ubiquitous relations for boosting classification and localization
Penalized multiple distribution selection method for imbalanced data classification
LR-SMOTE — An improved unbalanced data set oversampling based on K-means and SVM
Personalized location recommendation by fusing sentimental and spatial context
Churn and Net Promoter Score forecasting for business decision-making through a new stepwise regression methodology
