Daniel A. Abrams

Cognitive Neuroscience · 2010

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel A. Abrams trusts overall

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

  1. Isabelle M Guyon
  2. Robert Tibshirani
  3. Michael E. Tipping
  4. Jason Aaron Edward Weston
  5. Hui Zou
  6. David D. Cox

Papers from Daniel A. Abrams's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. An Introduction to Variable and Feature Selection
  4. Addendum: Regularization and variable selection via the elastic net
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex (NeuroImage)
  7. ImageNet classification with deep convolutional neural networks
  8. Learning to Decode Cognitive States from Brain Images
  9. Gradient-based learning applied to document recognition
  10. Gene Selection for Cancer Classification using Support Vector Machines

Their papers