Departamento de Informática y Análisis Numérico: Envíos recientes
Mostrando ítems 6-10 de 254
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Cooperative coevolutionary instance selection for multilabel problems
(Elsevier, 2021)Multilabel classification as a data mining task has recently attracted greater research interest. Many current data mining applications address problems having instances that belong to more than one class, which requires ... -
Effective Feature Selection Method for Class-Imbalance Datasets Applied to Chemical Toxicity Prediction
(American Chemical Society, 2021)During the drug development process, it is common to carry out toxicity tests and adverse effect studies, which are essential to guarantee patient safety and the success of the research. The use of in silico quantitative ... -
Democratization of advanced models for data science
(Universidad de Córdoba, UCOPress, 2024)En las últimas décadas, la mayoría de las empresas y organizaciones han generado y almacenado enormes cantidades de datos procedentes de diversas fuentes como transacciones financieras, interacciones con clientes, registros ... -
Graph-Based Feature Selection Approach for Molecular Activity Prediction
(American Chemical Society, 2022)In the construction of QSAR models for the prediction of molecular activity, feature selection is a common task aimed at improving the results and understanding of the problem. The selection of features allows elimination ... -
Unemployment Rate Prediction Using a Hybrid Model of Recurrent Neural Networks and Genetic Algorithms
(MDPI, 2024)Unemployment, a significant economic and social challenge, triggers repercussions that affect individual workers and companies, generating a national economic impact. Forecasting the unemployment rate becomes essential for ...