Thomas Abeel

Molecular Biology · 2008–2014

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Abeel trusts overall

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

  1. Thomas G. Dietterich
  2. Ludmila I. Kuncheva
  3. Isabelle M Guyon
  4. Yvan Saeys
  5. Ulisses M. Braga-Neto
  6. Igor Kononenko
  7. Tomohiro Ando
  8. Andre´ Elisseeff
  9. Alexandros Kalousis
  10. Christopher K. I. Williams

Who trusts Thomas Abeel overall

  1. Yun Li
  2. Girish Chandrashekar
  3. Zengyou He
  4. Jundong Li
  5. Pengyi Yang
  6. Verónica Bolón-Canedo
  7. Anne-Claire Haury
  8. Yue Cao
  9. Tao Li
  10. Vipin Kumar

Papers from Thomas Abeel's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Random Forests
  6. ImageNet: A large-scale hierarchical image database
  7. An Introduction to Variable and Feature Selection
  8. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers