Hea-Lim Park

Advances in Materials · 2019

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Hea-Lim Park's perspective

Ordered by how strongly the researchers Hea-Lim Park trusts endorse each paper. Same corpus, a different order for every researcher.

1. Principles of Neural Science, 4th ed.
2. The organization of behavior: A neuropsychological theory
3. Neuronal Dynamics: From Single Neurons To Networks And Models Of Cognition
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. A Fast Learning Algorithm for Deep Belief Nets

Their papers

• Flexible Neuromorphic Electronics for Computing, Soft Robotics, and Neuroprosthetics (2019) — 443 citations