Federico Cabitza

Statistical Learning Theory · 2017–2020

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

• Statistical Learning Theory — 5 citations into it

Whom Federico Cabitza trusts overall

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

1. Christopher K. I. Williams

Who trusts Federico Cabitza overall

1. Meghavi Rana

Papers from Federico Cabitza's perspective

Ordered by how strongly the researchers Federico Cabitza 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. Matplotlib: A 2D Graphics Environment
9. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study (The Lancet)
10. Multiple Imputation for Nonresponse

Their papers

• Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study (2020) — 325 citations
• Unintended Consequences of Machine Learning in Medicine (2017) — 472 citations