Editorial Board
Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering
Swash: A collective personal name matching framework
New Chebyshev distance measures for Pythagorean fuzzy sets with applications to multiple criteria decision analysis using an extended ELECTRE approach
SLDeep: Statement-level software defect prediction using deep-learning model on static code features
Using a segmenting description approach in multiple criteria decision aiding
A fusion method based on Deep Learning and Case-Based Reasoning which improves the resulting medical image segmentations
A fuzzy logic system for the home assessment of freezing of gait in subjects with Parkinsons disease
Data-level information enhancement: Motion-patch-based Siamese Convolutional Neural Networks for human activity recognition in videos
Intelligent personal assistants: A systematic literature review
Evolutionary multiobjective optimization to target social network influentials in viral marketing
Learn#: A Novel incremental learning method for text classification
IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA
A hybrid algorithm based on particle filter and genetic algorithm for target tracking
Gender recognition using motion data from multiple smart devices
Symbiotic Organisms Search Algorithm for multilevel thresholding of images
Multiple premises entailment recognition based on attention and gate mechanism
Reducing distance computations for distance-based outliers
Dynamic portfolio optimization based on grey relational analysis approach
Reliable shortest path finding in stochastic time-dependent road network with spatial-temporal link correlations: A case study from Beijing
Combining a recursive approach via non-negative matrix factorization and Gini index sparsity to improve reliable detection of wheezing sounds
Driver fatigue transition prediction in highly automated driving using physiological features
Modeling and solving cloud service purchasing in multi-cloud environments
An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems
Applying genetic algorithms with speciation for optimization of grid template pattern detection in financial markets
A novel decision-making method using R-Norm concept and VIKOR approach under picture fuzzy environment
Z-ERM DEA integrated approach for evaluation of banks & financial institutes in stock exchange
Topological data analysis in investment decisions
Evolution of communities in dynamic social networks: An efficient map-based approach
Spatially weighted order binary pattern for color texture classification
Effect of dimensionality reduction on stock selection with cluster analysis in different market situations
Ensemble learning by means of a multi-objective optimization design approach for dealing with imbalanced data sets
Data integrity assessment for maritime anomaly detection
Big Data with deep learning for benchmarking profitability performance in project tendering
