Editorial
Ensemble of Efficient Minimal Learning Machines for Classification and Regression
Identifying Market Behaviours Using European Stock Index Time Series by a Hybrid Segmentation Algorithm
Learners Reliability Estimated Through Neural Networks Applied to Build a Novel Hybrid Ensemble Method
Interpreting Decision Support from Multiple Classifiers for Predicting Length of Stay in Patients with Colorectal Carcinoma
Deep Neural Networks for Wind and Solar Energy Prediction
Multi-Domain Transfer Component Analysis for Domain Generalization
Testing Different Ensemble Configurations for Feature Selection
Toward a Possibilistic Swarm Multi-robot Task Allocation: Theoretical and Experimental Results
FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm
Second Order Training of a Smoothed Piecewise Linear Network
A Brain-Inspired Method of Facial Expression Generation Using Chaotic Feature Extracting Bidirectional Associative Memory
Convergence of Quasi-Newton Method for Fully Complex-Valued Neural Networks
Adaptive Synchronization of Stochastic Memristor-Based Neural Networks with Mixed Delays
Asymptotic Stability of Cohen–Grossberg BAM Neutral Type Neural Networks with Distributed Time Varying Delays
Robust State Estimation for Delayed Complex-Valued Neural Networks
Towards Safe Semi-supervised Classification: Adjusted Cluster Assumption via Clustering
A Computationally Efficient Received Signal Strength Based Localization Algorithm in Closed-Form for Wireless Sensor Network
A Hybrid Model Equipped with the Minimum Cycle Decomposition Concept for Short-Term Forecasting of Electrical Load Time Series
A Two-Stage Bayesian Integration Framework for Salient Object Detection on Light Field
Foreign Exchange Rates Forecasting with Convolutional Neural Network