Andrea Campagner

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 Andrea Campagner 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

Papers from Andrea Campagner's perspective

Ordered by how strongly the researchers Andrea Campagner 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. Bias in error estimation when using cross-validation for model selection (BMC Bioinformatics)
  5. Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing (Radiology)
  6. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. (Journal of the American Medical Association (JAMA))
  7. Time Course of Lung Changes On Chest CT During Recovery From 2019 Novel Coronavirus (COVID-19) Pneumonia (Radiology)
  8. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study (The Lancet)
  9. Matplotlib: A 2D Graphics Environment
  10. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition

Their papers