Editorial Board
Aedes mosquito detection in its larval stage using deep neural networks
Mining distinct and contiguous sequential patterns from large vehicle trajectories
Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic preference relations
DISL: Deep Isomorphic Substructure Learning for network representations
Interactive double states emotion cell model for textual dialogue emotion prediction
Managing minority opinions in micro-grid planning by a social network analysis-based large scale group decision making method with hesitant fuzzy linguistic information
Parameter tuning for meta-heuristics
A new fast search algorithm for exact k-nearest neighbors based on optimal triangle-inequality-based check strategy
Incremental updating approximations for double-quantitative decision-theoretic rough sets with the variation of objects
Cascaded dual-scale crossover network for hyperspectral image classification
An approach to generalizing the handling of preferences in argumentation-based decision-making systems
F-Mapper: A Fuzzy Mapper clustering algorithm
MapReduce based improved quick reduct algorithm with granular refinement using vertical partitioning scheme
Granular structure-based incremental updating for multi-label classification
A T1OWA fuzzy linguistic aggregation methodology for searching feature-based opinions
On representation of fuzzy measures for learning Choquet and Sugeno integrals
Assignment of attribute weights with belief distributions for MADM under uncertainties
Multi-graph fusion for multi-view spectral clustering
A two-stage dynamic influence model-achieving decision-making consensus within large scale groups operating with incomplete information
CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale
Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues
Cost-sensitive semi-supervised selective ensemble model for customer credit scoring
Active learning through label error statistical methods
HDSM: A distributed data mining approach to classifying vertically distributed data streams
Discovering process models for the analysis of application failures under uncertainty of event logs
Hybrid neural conditional random fields for multi-view sequence labeling
One-step Kernel Multi-view Subspace Clustering
Deep learning approach on information diffusion in heterogeneous networks
DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images
CNAVER: A Content and Network-based Academic VEnue Recommender system
