Richard Hankins

According to our database, Richard Hankins authored at least 5 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Data-Independent Feature Learning with Markov Random Fields in Convolutional Neural Networks.

Yao Peng, Richard Hankins, Hujun Yin

Neurocomputing, 2020

2019

Unsupervised image feature learning for convolutional neural networks.

Richard Hankins

PhD thesis, 2019

Deep Learning Models for Denoising ECG Signals.

Corneliu T. C. Arsene, Richard Hankins, Hujun Yin

Proceedings of the 27th European Signal Processing Conference, 2019

2018

SOMNet: Unsupervised Feature Learning Networks for Image Classification.

Richard Hankins, Yao Peng, Hujun Yin

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks.

Richard Hankins, Yao Peng, Hujun Yin

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018