Jen Hong Tan

Cognitive Neuroscience · 2012–2018

A researcher in the Science corpus: 8 papers; trusts 6 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 27 citations into it; #3,765 of 10,852 by trust here, #1,882 by citations
• Cardiology and Cardiovascular Medicine — 20 citations into it; #140 of 906 by trust here, #145 by citations
• Signal Processing — 18 citations into it

Whom Jen Hong Tan trusts overall

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

1. Samanwoy Ghosh-Dastidar
2. Hojjat Adeli
3. Hamido Fujita
4. Usha R. Acharya
5. Yann LeCun

Who trusts Jen Hong Tan overall

1. Dr. Prabira Kumar Sethy
2. Usha R. Acharya
3. Özal Yıldırım
4. Nagarajan Ganapathy
5. Oliver Faust

Papers from Jen Hong Tan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Deep Sparse Rectifier Neural Networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network (2017) — 350 citations
• Automated EEG-based screening of depression using deep convolutional neural network (2018) — 526 citations
• Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images (2018) — 417 citations
• Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals (2018) — 331 citations
• Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network (2017) — 698 citations
• Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals (2017) — 1,449 citations
• A deep convolutional neural network model to classify heartbeats (2017) — 1,287 citations
• Thermography Based Breast Cancer Detection Using Texture Features and Support Vector Machine (2012) — 296 citations