Computational Intelligence Methods for Time Series Analysis and Forecasting: Special Issue of IWANN 2017
Application of Quantile Graphs to the Automated Analysis of EEG Signals
Fuzzy Time Series Models Using Pliant- and Asymptotically Pliant Arithmetic-Based Inference
Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing
A Multi-resolution Approximation for Time Series
Machine Learning Nowcasting of PV Energy Using Satellite Data
An Evaluation of Equity Premium Prediction Using Multiple Kernel Learning with Financial Features
Time Series, Spectral Densities and Robust Functional Clustering
Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems
Deep Learning Neural Network for Unconventional Images Classification
A Context Based Deep Temporal Embedding Network in Action Recognition
Optimal Control Based on Neuro Estimator for Fractional Order Uncertain Non-linear Continuous-Time Systems
GM-CPSO: A New Viewpoint to Chaotic Particle Swarm Optimization via Gauss Map
Remerging Feigenbaum Trees, Coexisting Behaviors and Bursting Oscillations in a Novel 3D Generalized Hopfield Neural Network
Finite-Time Synchronization of Hybrid-Coupled Delayed Dynamic Networks via Aperiodically Intermittent Control
Dual-Path Part-Level Method for Visible–Infrared Person Re-identification
Semantic Image Segmentation with Improved Position Attention and Feature Fusion
Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems
Spikes and Nets (S&N): A New Fast, Parallel Computing, Point Process Software for Multineuronal Discharge and Connectivity Analysis
Quantized Control for Synchronization of Delayed Fractional-Order Memristive Neural Networks
An Enhanced Extreme Learning Machine Based on Liu Regression
Fukunaga–Koontz Convolutional Network with Applications on Character Classification
Unsupervised Domain Adaptation via Discriminative Classes-Center Feature Learning in Adversarial Network
Fixed-Time Lag Synchronization Analysis for Delayed Memristor-Based Neural Networks
Fast and Memory-Efficient Import Vector Domain Description
Global Exponential Stability of Hybrid Non-autonomous Neural Networks with Markovian Switching
Path Capsule Networks
Adaptive Sampled-Data Observer Design for a Class of Nonlinear Systems with Unknown Hysteresis
Latent-MVCNN: 3D Shape Recognition Using Multiple Views from Pre-defined or Random Viewpoints
Fractional Order Echo State Network for Time Series Prediction
PSSA: Polar Coordinate Salp Swarm Algorithm for Curve Design Problems
Anti-synchronization of a Class Of Fuzzy Memristive Competitive Neural Networks with Different Time Scales
Wireless Sensor Network Based Smart Grid Supported by a Cognitively Driven Load Management Decision Making
A Novel Technique for Segmentation of High Resolution Remote Sensing Images Based on Neural Networks
GrasNet: A Simple Grassmannian Network for Image Set Classification
Li-Function Activated Zhang Neural Network for Online Solution of Time-Varying Linear Matrix Inequality
A New Supervised Clustering Framework Using Multi Discriminative Parts and Expectation–Maximization Approach for a Fine-Grained Animal Breed Classification (SC-MPEM)
An Improved Crow Search Algorithm for Test Data Generation Using Search-Based Mutation Testing
Intra-layer Synchronization in Duplex Networks with Time-Varying Delays and Stochastic Perturbations Under Impulsive Control
Multilayer Convolutional Neural Network to Filter Low Quality Content from Quora
SAOSA: Stable Adaptive Optimization for Stacked Auto-encoders
Multi-geometric Sparse Subspace Clustering
Semi-supervised Learning Algorithm Based on Linear Lie Group for Imbalanced Multi-class Classification
Consistent Discriminant Correlation Analysis
Graph-Theoretic Approach to Finite-Time Synchronization for Fuzzy Cohen–Grossberg Neural Networks with Mixed Delays and Discontinuous Activations
