Junho Lee

Artificial Intelligence · with Harrou · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Junho Lee trusts overall

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

1. Jerome H. Friedman
2. Leo Breiman
3. Resul Das
4. Sergey Ioffe
5. Peter Buhlmann
6. Trevor J. Hastie

Papers from Junho Lee's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Random Forests
3. Greedy function approximation: A gradient boosting machine.
4. A unified architecture for natural language processing: deep neural networks with multitask learning
5. I and J
6. and s
7. Bio-inspired synthesis of xishacorenes A, B, and C, and a new congener from fuscol
8. A comparison of multiple classification methods for diagnosis of Parkinson disease (Expert systems with applications)
9. Points of Significance: Classification and regression trees
10. ImageNet classification with deep convolutional neural networks

Their papers

• Early Detection of Parkinson’s Disease Using Deep Learning and Machine Learning (2020) — 298 citations