Editorial Board
Multi-task sequence learning for performance prediction and KPI mining in database management system
Real-time and dynamic fault-tolerant scheduling for scientific workflows in clouds
Improved Glasius bio-inspired neural network for target search by multi-agents
A new classification and ranking decision method based on three-way decision theory and TOPSIS models
Feature selection via max-independent ratio and min-redundant ratio based on adaptive weighted kernel density estimation
A distance for evidential preferences with application to group decision making
PMT-Net: Progressive Multi-Task Network for one-shot Person Re-Identification
A novel IoT network intrusion detection approach based on Adaptive Particle Swarm Optimization Convolutional Neural Network
Document-level relation extraction with Entity-Selection Attention
A three-way decision methodology to multi-attribute decision-making in multi-scale decision information systems
Learning deep discriminative representations with pseudo supervision for image clustering
Clustering probabilistic graphs using neighbourhood paths
Efficient algorithms for mining frequent high utility sequences with constraints
Efficient face detection and tracking in video sequences based on deep learning
Towards reducing delegation overhead in replication-based verification: An incentive-compatible rational delegation computing scheme
The longitudinal research of type-2 fuzzy sets domain: From conceptual structure and knowledge diffusion perspectives
Noise-free attribute-oriented induction
Fine-grained similarity fusion for Multi-view Spectral Clustering
Multiattribute decision making based on the improved intuitionistic fuzzy Einstein weighted averaging operator of intuitionistic fuzzy values
Corrigendum to “Distributivity and conditional distributivity for T-uninorms” [Inform. Sci., (424) (2018) 91–103]
Influence maximization algorithm based on Gaussian propagation model
Bilingual autoencoder-based efficient harmonization of multi-source private data for accurate predictive modeling
A novel method for automated congestive heart failure and coronary artery disease recognition using THC-Net
Hierarchical feature selection with multi-granularity clustering structure
