Search Results for author: D. Gil

Found 2 papers, 1 papers with code

Early Screening of SARS-CoV-2 by Intelligent Analysis of X-Ray Images

1 code implementation28 May 2020 D. Gil, K. Díaz-Chito, C. Sánchez, A. Hernández-Sabaté

Results show that classic approaches can outperform deep-learning methods in this experimental setting, indicate the feasibility of early COVID-19 screening and that non-COVID infiltration is the group of patients most similar to COVID-19 in terms of radiological description of X-ray.

Experimental Design feature selection

A flexible outlier detector based on a topology given by graph communities

no code implementations18 Feb 2020 O. Ramos Terrades, A. Berenguel, D. Gil

Outlier, or anomaly, detection is essential for optimal performance of machine learning methods and statistical predictive models.

Anomaly Detection

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