Peter Stagge

Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network

The Cutaneous Rabbit Illusion Affects Human Primary Sensory Cortex Somatotopically

Multiobjective Hybrid Optimization and Training of Recurrent Neural Networks

Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory

A Bayesian Perceptual Model Replicates the Cutaneous Rabbit and Other Tactile Spatiotemporal Illusions

LSTM network: a deep learning approach for short‐term traffic forecast

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

A review of unsupervised feature learning and deep learning for time-series modeling

Nonlinearly Activated Neural Network for Solving Time-Varying Complex Sylvester Equation

Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function

Design and Analysis of FTZNN Applied to the Real-Time Solution of a Nonstationary Lyapunov Equation and Tracking Control of a Wheeled Mobile Manipulator

An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm

Big Data Analytics in Intelligent Transportation Systems: A Survey

Weighted dynamic time warping for time series classification

Grounded Cognition

Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction

Ant colony optimization

Search Bias in Ant Colony Optimization: On the Role of Competition-Balanced Systems

Multiobjective Evolution of Biped Robot Gaits Using Advanced Continuous Ant-Colony Optimized Recurrent Neural Networks

A vision-based motion capture and recognition framework for behavior-based safety management

Time series forecasting of petroleum production using deep LSTM recurrent networks

A Cycle Deep Belief Network Model for Multivariate Time Series Classification

Deep learning for time series classification: a review

Ant colony optimization theory: A survey

Learning cortical topography from spatiotemporal stimuli

Effects of phenotypic redundancy in structure optimization

Recurrent neural networks for time series classification