Mausumi Acharyya

NeuroImage · 2005

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Mausumi Acharyya trusts

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

1. David Ruppert (in Statistics and Probability)
2. Christopher K. I. Williams (in Statistical Learning Theory)
3. Vladimir Naumovich Vapni (in Artificial Intelligence)

Papers from Mausumi Acharyya's perspective

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

1. The Nature of Statistical Learning Theory
2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
3. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
4. Spatial pattern analysis of functional brain images using partial least squares.
5. Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex (NeuroImage)
6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
7. Support vector machines for temporal classification of block design fMRI data (NeuroImage)
8. Brain Activity during Simulated Deception: An Event-Related Functional Magnetic Resonance Study (NeuroImage)
9. Controlling the false discovery rate: a practical and powerful approach to multiple testing
10. Pattern Recognition and Neural Networks

Their papers

• Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection (2005) — 452 citations