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A cyber-physical approach to combined HW-SW monitoring for improving energy efficiency in data centers
High-Performance Computing, Cloud computing and next-generation applications such e-Health or Smart Cities have dramatically increased …
Josué Pagán, Marina Zapater, Oscar Cubo, Patricia Arroba, Vicente Martín, José Manuel Moya
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A cyber-physical approach to combined HW-SW monitoring for improving energy efficiency in data centers
EDA-Based Logistic Regression Applied to Biomarkers Selection in Breast Cancer
Logistic regression (LR) is a simple and efficient supervised learning algorithm for estimating the probability of an outcome variable. …
Santiago González, Víctor Robles, José María Peña, Oscar Cubo
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EDA-Based Logistic Regression Applied to Biomarkers Selection in Breast Cancer
Breast Cancer Biomarker Selection Using Multiple Offspring Sampling
Biomarkers are biochemical facets that can be used to measure different aspects of a disease. In the last years, there has been much …
Antonio LaTorre, José María Peña, Santiago González, Oscar Cubo, A. Fazel Famili
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Breast Cancer Biomarker Selection Using Multiple Offspring Sampling
Extending the GA-EDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs
Hybrid metaheuristics have received considerable interest in recent years. Since several years ago, a wide variety of hybrid approaches …
Víctor Robles, José María Peña, María de los Santos Pérez, Pilar Herrero, Oscar Cubo
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Extending the GA-EDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs
Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction

All sort of organizations needs as many information about their target population. Public datasets provides one important source of …

Oscar Cubo, Víctor Robles, Javier Segovia, Ernestina Menasalvas
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Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction