Navin Rathna Kumar

Artificial Intelligence · 2020

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

Subfields

• Artificial Intelligence — 13 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Navin Rathna Kumar trusts overall

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

1. François Chollet
2. Ioannis D. Apostolopoulos
3. Asmaa Abbas

Who trusts Navin Rathna Kumar overall

1. Ali Narin

Papers from Navin Rathna Kumar's perspective

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

1. Xception: Deep Learning with Depthwise Separable Convolutions
2. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks (Physical and Engineering Sciences in Medicine)
3. Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network (Applied intelligence (Boston))
4. Automated detection of COVID-19 cases using deep neural networks with X-ray images (Comput. Biol. Medicine)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. COVID-19 Image Data Collection
7. ImageNet classification with deep convolutional neural networks
8. COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images (arXiv.org)
9. ImageNet Large Scale Visual Recognition Challenge
10. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Their papers

• Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays (2020) — 319 citations