Giuseppe Banfi

Statistical Learning Theory · 2012–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Giuseppe Banfi trusts

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

  1. Christopher K. I. Williams (in Statistical Learning Theory)

Papers from Giuseppe Banfi's perspective

Ordered by how strongly the researchers Giuseppe Banfi 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. Bias in error estimation when using cross-validation for model selection (BMC Bioinformatics)
  4. Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing (Radiology)
  5. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  6. Contour-enhanced meta-analysis funnel plots help distinguish publication bias from other causes of asymmetry. (Journal of Clinical Epidemiology)
  7. Assessing Risk of Bias in Included Studies
  8. Time Course of Lung Changes On Chest CT During Recovery From 2019 Novel Coronavirus (COVID-19) Pneumonia (Radiology)
  9. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. (Journal of the American Medical Association (JAMA))
  10. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study (The Lancet)

Their papers