Editorial Board
Hash-based space partitioning approach to iris biometric data indexing
A new dominance-relation metric balancing convergence and diversity in multi- and many-objective optimization
Direct marketing campaigns in retail banking with the use of deep learning and random forests
Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation
Detection of activity and position of speakers by using deep neural networks and acoustic data augmentation
QRS detection method based on fully convolutional networks for capacitive electrocardiogram
Markov multiple feature random fields model for the segmentation of brain MR images
A comparison of random forest variable selection methods for classification prediction modeling
Simultaneous learning of reduced prototypes and local metric for image set classification
Automated 3-D lung tumor detection and classification by an active contour model and CNN classifier
Recognition of similar characters using gradient features of discriminative regions
A fuzzy rule based multimodal framework for face sketch-to-photo retrieval
Distinguishing mental attention states of humans via an EEG-based passive BCI using machine learning methods
Fuzzy logic based multi document summarization with improved sentence scoring and redundancy removal technique
Social mimic optimization algorithm and engineering applications
Text document clustering using Spectral Clustering algorithm with Particle Swarm Optimization
Efficient heterogeneous proximity preserving network embedding model
Wide and deep learning for peer-to-peer lending
The performance of ELM based ridge regression via the regularization parameters
Building Bayesian networks based on DEMATEL for multiple criteria decision problems: A supplier selection case study
Anomalous information diffusion in social networks: Twitter and Digg
Computer vision-guided intelligent traffic signaling for isolated intersections
Hybrid simulated annealing and tabu search method for the electric travelling salesman problem with time windows and mixed charging rates
Prediction of B2C e-commerce order arrival using hybrid autoregressive-adaptive neuro-fuzzy inference system (AR-ANFIS) for managing fluctuation of throughput in e-fulfilment centres
