Editorial Board
Semi-supervised representation learning via dual autoencoders for domain adaptation
Discriminative Streaming Network Embedding
On extracting data from tables that are encoded using HTML
Consensus-based non-cooperative behaviors management in large-group emergency decision-making considering experts’ trust relations and preference risks
A BPSO-based method for high-utility itemset mining without minimum utility threshold
An efficient active learning method for multi-task learning
Word Sense Disambiguation: A comprehensive knowledge exploitation framework
Senpy: A framework for semantic sentiment and emotion analysis services
adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection
Fitness-distance balance (FDB): A new selection method for meta-heuristic search algorithms
Anomaly detection method using center offset measurement based on leverage principle
Generative adversarial networks based on Wasserstein distance for knowledge graph embeddings
NearCount: Selecting critical instances based on the cited counts of nearest neighbors
Reinforcement learning approach for optimal control of multiple electric locomotives in a heavy-haul freight train:A Double-Switch-Q-network architecture
Online transfer learning with multiple source domains for multi-class classification
Effective Bayesian-network-based missing value imputation enhanced by crowdsourcing
Semi-supervised multi-view clustering with Graph-regularized Partially Shared Non-negative Matrix Factorization
Unsupervised emotional state classification through physiological parameters for social robotics applications
A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary
Intelligent decision making for service providers selection in maintenance service network: An adaptive fuzzy-neuro approach
Fuzzy entropy clustering by searching local border points for the analysis of gene expression data
An OWA-based hierarchical clustering approach to understanding users’ lifestyles
Automatic construction of multi-faceted user profiles using text clustering and its application to expert recommendation and filtering problems
Adaptive early classification of temporal sequences using deep reinforcement learning
Towards sophisticated decision models: Nonadditive robust ordinal regression for preference modeling
Machine learning-based wear fault diagnosis for marine diesel engine by fusing multiple data-driven models
Predicting ICD-9 code groups with fuzzy similarity based supervised multi-label classification of unstructured clinical nursing notes
Deep time–frequency representation and progressive decision fusion for ECG classification
Machine learning based decision making for time varying systems: Parameter estimation and performance optimization
Detection of SQL injection based on artificial neural network
