Editorial Board
A real-time image optimization strategy based on global saliency detection for artificial retinal prostheses
Patch-Based correlation for deghosting in exposure fusion
Combinatorial analysis of the subsystem reliability of the split-star network
Calculating the possible conformations arising from uncertainty in the molecular distance geometry problem using constraint interval analysis
Multi-target support vector regression via correlation regressor chains
Person recognition based on touch screen gestures using computational intelligence methods
Steganalysis of 3D objects using statistics of local feature sets
Drug–drug interaction extraction from biomedical literature using support vector machine and long short term memory networks
Extremely high-dimensional optimization with MapReduce: Scaling functions and algorithm
Measurement of general granules
Discrete Schroedinger transform for texture recognition
Two uncertain chance-constrained programming models to setting target levels of design attributes in quality function deployment
Scalable and parallelizable influence maximization with Random Walk Ranking and Rank Merge Pruning
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
On attribute reduction in concept lattices: Methods based on discernibility matrix are outperformed by basic clarification and reduction
Optimal scale selection in dynamic multi-scale decision tables based on sequential three-way decisions
Fingerprint enhancement rooted in the spectra diffusion by the aid of the 2D adaptive Chebyshev band-pass filter with orientation-selective
Less is more: basic variable neighborhood search heuristic for balanced minimum sum-of-squares clustering
A theoretical perspective of solving phaseless compressive sensing via its nonconvex relaxation
Quantifying textual terms of items for similarity measurement
Parallel biclustering detection using strength Pareto front evolutionary algorithm
Enhanced joint sparsity via iterative support detection
A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data
A linear programming method for multiple criteria decision making with probabilistic linguistic information
On-line active learning: A new paradigm to improve practical useability of data stream modeling methods
New constructions of resilient functions with strictly almost optimal nonlinearity via non-overlap spectra functions
Information as a physical quantity
Curvature-based method for determining the number of clusters
Generalized qualitative Sugeno integrals
Robust adaptive fault-tolerant control of nonlinear uncertain systems tracking uncertain target trajectory
