Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy

no code implementations • 21 Dec 2022 • Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas Stratigakos, Peter Stuckey, Guido Tack, Isaac Triguero, Rui Yuan

As both forecasting and optimization are difficult problems in their own right, relatively few research has been done in this area.

Scheduling

Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization

no code implementations • 21 Apr 2022 • Alejandro Rosales-Pérez, Salvador García, Francisco Herrera

The resulting optimization problem is a bilevel problem, where the lower level determines the support vectors and the upper level the hyperparameters.

Bilevel Optimization Binary Classification +2

A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels

no code implementations • 10 Nov 2021 • Javier Andreu-Perez, Humberto Pérez-Espinosa, Eva Timonet, Mehrin Kiani, Manuel I. Girón-Pérez, Alma B. Benitez-Trinidad, Delaram Jarchi, Alejandro Rosales-Pérez, Nick Gatzoulis, Orion F. Reyes-Galaviz, Alejandro Torres-García, Carlos A. Reyes-García, Zulfiqar Ali, Francisco Rivas

We seek to evaluate the detection performance of a rapid primary screening tool of Covid-19 solely based on the cough sound from 8, 380 clinically validated samples with laboratory molecular-test (2, 339 Covid-19 positives and 6, 041 Covid-19 negatives).

Specificity