Girish Chandrashekar

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #8,413 of 35,345 by trust here, #10,065 by citations
• Molecular Biology — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it; #6,039 of 21,575 by trust here, #7,092 by citations

Whom Girish Chandrashekar trusts overall

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

1. Isabelle M Guyon
2. Chih-Jen Lin
3. David E. Goldberg
4. Kari Torkkola
5. George Forman
6. Franccois Fleuret
7. Hanchuan Peng
8. Chris H. Q. Ding
9. Ron Kohavi
10. Anil K. Jain

Who trusts Girish Chandrashekar overall

1. Aytuğ Onan
2. Chaouki Khammassi
3. Lida Xu
4. Tansel Dökeroğlu
5. Shenkai Gu
6. Philip Adler
7. Xuelian Deng
8. Cemal Okan Sakar
9. Klas Leino
10. Ryan J. Urbanowicz

Papers from Girish Chandrashekar's perspective

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

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

Their papers

• A survey on feature selection methods (2014) — 4,798 citations