Dr. Prabira Kumar Sethy
Infectious Diseases · 2020
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Infectious Diseases — 16 citations into it
- Cardiology and Cardiovascular Medicine — 6 citations into it
- Cognitive Neuroscience — 5 citations into it
Whom Dr. Prabira Kumar Sethy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shu Lih Oh
- Özal Yıldırım
- Usha R. Acharya
- S. Perlman
- Yu Chen
- Hiroshi Nishiura
- Yuki Hagiwara
- Geoffrey E. Hinton
- Jen Hong Tan
- Yann LeCun
Who trusts Dr. Prabira Kumar Sethy overall
- Mücahid Barstuğan
- Asmaa Abbas
- Suat Toraman
- Dina M. Ibrahim
- Ali Narin
- Ioannis D. Apostolopoulos
- Umut Ozkaya
- Mohammed M. Abdelsamea
- Talha Burak Alakus
- Nada M. Elshennawy
Papers from Dr. Prabira Kumar Sethy's perspective
Ordered by how strongly the researchers Dr. Prabira Kumar Sethy trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Detection of Coronavirus Disease (COVID-19) Based on Deep Features (2020) — 662 citations
- Detection of coronavirus Disease (COVID-19) based on Deep Features and Support Vector Machine (2020) — 319 citations
- Deep feature based rice leaf disease identification using support vector machine (2020) — 519 citations