Editorial Board
CRGA: Homographic pun detection with a contextualized-representation: Gated attention network
Distributed semi-supervised learning algorithms for random vector functional-link networks with distributed data splitting across samples and features
LDA-based data augmentation algorithm for acoustic scene classification
Decomposition-based Bayesian network structure learning algorithm using local topology information
MCFS: Min-cut-based feature-selection
Boosted K-nearest neighbor classifiers based on fuzzy granules
TDP: Two-dimensional perceptron for image recognition
Compact geometric representation of qualitative directional knowledge
A learning path recommendation model based on a multidimensional knowledge graph framework for e-learning
Graph neural entity disambiguation
Words are important: A textual content based identity resolution scheme across multiple online social networks
Community detection in complex networks with an ambiguous structure using central node based link prediction
A constrained optimization algorithm for learning GloVe embeddings with semantic lexicons
High order discriminant analysis based on Riemannian optimization
Classifying emotions in Stack Overflow and JIRA using a multi-label approach
Hierarchical multi-task learning with CRF for implicit discourse relation recognition
FMDBN: A first-order Markov dynamic Bayesian network classifier with continuous attributes
Stable sparse subspace embedding for dimensionality reduction
Decision making with a sequential modeling of pairwise comparison process
An end-to-end functional spiking model for sequential feature learning
A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine
Bayesian optimisation in unknown bounded search domains
Unsupervised bin-wise pre-training: A fusion of information theory and hypergraph
A personalized diagnosis method to detect faults in gears using numerical simulation and extreme learning machine
Feature selection for hierarchical classification via joint semantic and structural information of labels
A dynamic group decision making process for high number of alternatives using hesitant Fuzzy Ontologies and sentiment analysis
K-Means-based isolation forest
Incorporating expert prior in Bayesian optimisation via space warping
A concise peephole model based transfer learning method for small sample temporal feature-based data-driven quality analysis
Locating the propagation source in complex networks with a direction-induced search based Gaussian estimator
Learning-based elephant herding optimization algorithm for solving numerical optimization problems
A coarsening method for bipartite networks via weight-constrained label propagation
A dummy-based user privacy protection approach for text information retrieval
A Meta-learning approach for recommending the number of clusters for clustering algorithms
Mutual information-based label distribution feature selection for multi-label learning
Monitoring online reviews for reputation fraud campaigns
Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithm
A survey on multi-modal social event detection
An adaptive integral separated proportional–integral controller based strategy for particle swarm optimization
Robust visual tracking with correlation filters and metric learning
Multi-view semi-supervised learning for classification on dynamic networks
Augmented visual feature modeling for matching in low-visibility based on cycle-labeling of Superpixel Flow
Discovering knowledge combinations in multidimensional collaboration network: A method based on trust link prediction and knowledge similarity
SMLBoost-adopting a soft-margin like strategy in boosting
BECKEY: Understanding, comparing and discovering keys of different semantics in knowledge bases
Political Optimizer: A novel socio-inspired meta-heuristic for global optimization
An affinity propagation clustering based particle swarm optimizer for dynamic optimization
Semi-supervised stochastic blockmodel for structure analysis of signed networks
Fault tolerating multi-tenant service-based systems with dynamic quality
Vital spreaders identification in complex networks with multi-local dimension
Multiple attribute group decision making based on nucleolus weight and continuous optimal distance measure
Defining and detecting k-bridges in a social network: The Yelp case, and more
Joint low-rank representation and spectral regression for robust subspace learning
A novel random forest approach for imbalance problem in crime linkage
Link prediction of time-evolving network based on node ranking
An information theoretic approach to quantify the stability of feature selection and ranking algorithms
Improved Binary Grey Wolf Optimizer and Its application for feature selection
An integrated parallel big data decision support tool using the W-CLUS-MCDA: A multi-scenario personnel assessment
