Jin Hoon Bang

2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Whom Jin Hoon Bang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky

Who trusts Jin Hoon Bang overall

1. Matthew F. Dixon
2. Avraam Tsantekidis
3. A. Ozbayoglu
4. Omer Berat Sezer
5. Sid Ghoshal

Papers from Jin Hoon Bang's perspective

Ordered by how strongly the researchers Jin Hoon Bang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Efficient mini-batch training for stochastic optimization
3. High Technology ETF Forecasting: Application of Grey Relational Analysis and Artificial Neural Networks
4. A Scalable Parallel Formulation of the Backpropagation Algorithm for Hypercubes and Related Architectures
5. Intel Xeon Phi Coprocessor High Performance Programming
6. Neural Networks - A Systematic Introduction
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

• Classification-based financial markets prediction using deep neural networks (2016) — 199 citations