Sankar Mahadevan

Analytical Chemistry · 2008–2009

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Whom Sankar Mahadevan trusts overall

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

1. Vladimir Naumovich Vapnik
2. Jong-Min Lee
3. Chih-Jen Lin
4. S. Qin

Who trusts Sankar Mahadevan overall

1. Ki Bum Lee
2. Bradley Worley
3. Francisco Serdio
4. Masahiro Sugimoto
5. P. Gromski
6. S. Cheon
7. Robert Powers
8. Edwin David Lughofer
9. Chang Ouk Kim
10. David T. W. Wong

Papers from Sankar Mahadevan's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. A training algorithm for optimal margin classifiers
8. Statistical learning theory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Analysis of metabolomic data using support vector machines. (2008) — 347 citations
• Fault detection and diagnosis in process data using one-class support vector machines (2009) — 367 citations