Davide Brinati

Statistical Learning Theory · 2020

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

Subfields

Whom Davide Brinati trusts overall

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

  1. Christopher K. I. Williams
  2. S. van Buuren
  3. Gavin C. Cawley
  4. Sudhir Varma
  5. Trevor J. Hastie
  6. Robert Tibshirani
  7. Nicola L. C. Talbot
  8. Richard M. Simon
  9. Karin G. M. Groothuis-Oudshoorn
  10. David D. Lewis

Papers from Davide Brinati's perspective

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

  1. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  2. Scikit-learn: Machine Learning in Python
  3. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing (Radiology)
  8. Bias in error estimation when using cross-validation for model selection (BMC Bioinformatics)
  9. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. (Journal of the American Medical Association (JAMA))
  10. Long Short-Term Memory

Their papers