Editorial Board
Cautious relational clustering: A thresholding approach
A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection
Adaptive intrusion detection via GA-GOGMM-based pattern learning with fuzzy rough set-based attribute selection
MultiD-CNN: A multi-dimensional feature learning approach based on deep convolutional networks for gesture recognition in RGB-D image sequences
A new model for evaluating subjective online ratings with uncertain intervals
Friend recommendation for cross marketing in online brand community based on intelligent attention allocation link prediction algorithm
Map-Reduce based tipping point scheduler for parallel image processing
Resilient supplier selection in logistics 4.0 with heterogeneous information
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network
Adaptive windows multiple deep residual networks for speech recognition
Using high-fidelity meta-models to improve performance of small dataset trained Bayesian Networks
Optimal integration of the facility location problem into the multi-project multi-supplier multi-resource Construction Supply Chain network design under the vendor managed inventory strategy
Borrow from rich cousin: transfer learning for emotion detection using cross lingual embedding
Refined selfish herd optimizer for global optimization problems
Simulation-optimization for the management of the transshipment operations at maritime container terminals
Low resolution face recognition using a two-branch deep convolutional neural network architecture
Hybrid advanced player selection strategy based population search for global optimization
Weighted kshell degree neighborhood: A new method for identifying the influential spreaders from a variety of complex network connectivity structures
Multi-objective item evaluation for diverse as well as novel item recommendations
Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices
TAD: A trajectory clustering algorithm based on spatial-temporal density analysis
A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival
A study of two evolutionary/tabu search approaches for the generalized max-mean dispersion problem
A review on video-based active and assisted living technologies for automated lifelogging
Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays
Local distances preserving based manifold learning
An integrated feature learning approach using deep learning for travel time prediction
Expected margin–based pattern selection for support vector machines
Neighborhood information-based probabilistic algorithm for network disintegration
A personal data store approach for recommender systems: enhancing privacy without sacrificing accuracy
A new efficient hybrid algorithm for large scale multiple traveling salesman problems
A feature extraction model based on discriminative graph signals
