Francisco Álvarez

Identifying mortality factors from Machine Learning using Shapley values – a case of COVID19

Matthew Smith, Francisco Álvarez · Expert Systems with Applications · 2021 · 75 citations · Full text

Engineering, Machine Learning, Epidemiological Outcome +9

Identifying the most suitable endogenous control for determining gene expression in hearts from organ donors

Silvia Pérez-López, L. J. Royo, Aurora Astudillo et al. · BMC Molecular Biology · 2007 · 64 citations · Full text

Development of a Tool to Measure the Clinical Response to Biologic Therapy in Uncontrolled Severe Asthma: The FEV1, Exacerbations, Oral Corticosteroids, Symptoms Score

Luís Pérez de Llano, Ignacio Dávila, Eva Martínez-Moragón et al. · The Journal of Allergy and Clinical Immunology In Practice · 2021 · 47 citations · Full text

Asthma, Inflammatory Lung Disease, Lung Inflammation +8

Predicting Firm-Level Bankruptcy in the Spanish Economy Using Extreme Gradient Boosting

Matthew Smith, Francisco Álvarez · Computational Economics · 2021 · 46 citations

Empirical Finance, Economics, Economic Forecasting +10

Auctioning Versus Grandfathering in Cap-and-Trade Systems with Market Power and Incomplete Information

Francisco Álvarez, Francisco J. André · Environmental and Resource Economics · 2014 · 33 citations

Economics, Electronic Auction, Market Equilibrium +13