Oscar Esteban

Cognitive Neuroscience · 2016–2021

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Oscar Esteban trusts overall

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

  1. Bruce Fischl
  2. Krzysztof J. Gorgolewski
  3. Jasper Snoek
  4. Pierre Geurts
  5. Russell A. Poldrack
  6. O. Dietrich
  7. Hugo Larochelle
  8. Fabian Pedregosa
  9. Damien Ernst
  10. Jonathan D. Power

Who trusts Oscar Esteban overall

  1. Xiaoyu Lin

Papers from Oscar Esteban's perspective

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

  1. Scikit-learn: Machine Learning in Python
  2. Practical Bayesian Optimization of Machine Learning Algorithms
  3. Support-Vector Networks
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Going deeper with convolutions
  8. The Minimal Preprocessing Pipelines for the Human Connectome Project (NeuroImage)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers