N.J. Redding

Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

Airborne and spaceborne remote sensing for archaeological and cultural heritage applications: A review of the century (1907–2017)

Using random weights to train multilayer networks of hard-limiting units

The neural basis of cognitive development: A constructivist manifesto

Learning long-term dependencies with gradient descent is difficult

Individual differences in reasoning: Implications for the rationality debate?

Trends in extreme learning machines: A review

Deep learning in neural networks: An overview

A new method for expert target recognition system: Genetic wavelet extreme learning machine (GAWELM)

Development itself is the key to understanding developmental disorders

Many-Layered Learning

Sampling-50 years after Shannon

Assessing the status of forest regeneration using digital aerial photogrammetry and unmanned aerial systems

Natural-Born Cyborgs: Minds, Technologies, and the Future of Human Intelligence

Deep learning for AI

Optical Remote Sensing Potentials for Looting Detection

An introduction to discrete finite frames

Learning Deep Architectures for AI

Computer vision and deep learning techniques for pedestrian detection and tracking: A survey

Time series forecasting of petroleum production using deep LSTM recurrent networks

Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

Learning in Feedforward Networks with Nonsmooth Functions

Comparison of Selected Features for Target Detection in Synthetic Aperture Radar Imagery

Implementation of a Fast Algorithm for Segmenting SAR Imagery

Efficient calculation of finite Gabor transforms

Particle filter to track multiple people for visual surveillance

Constructive higher-order network that is polynomial time