Publicaciones

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  An In-Depth Analysis of COVID-19 Symptoms Considering the Co-Occurrence of Symptoms Using Clustering Algorithms

  Diego Javier Benito, Jesús Rufino, Juan Marcos Ramirez, Antonio Fernández Anta, Jose Aguilar

  IEEE Access. 10.1109/ACCESS.2024.3456246. Volumen 12 , IEEE Society. ISSN: 2169-3536. Septiembre 2024

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  A semi-supervised learning algorithm for multi-label classification and multi-assignment clustering problems based on a Multivariate Data Analysis

  Carlos Quintero, Jose Aguilar

  Engineering Applications of Artificial Intelligence. 10.1016/j.engappai.2024.109189. Volumen 137 , Elsevier. ISSN: 0952-1976. Agosto 2024

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  COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy

  Gontzal Sagastabeitia, Josu Doncel, Jose Aguilar, Antonio Fernández Anta, Juan Marcos Ramirez

  Expert Systems with Applications. 10.1016/j.eswa.2024.124930. Volumen 258 , Elsevier. ISSN: 0957-4174. Agosto 2024

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  A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA Based on Genetic Programming

  Gontzal Sagastabeitia, Josu Doncel, Antonio Fernández Anta, Jose Aguilar, Juan Marcos Ramirez

  IEEE Congress on Evolutionary Computation. Yokohama, Japan. Agosto 2024

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  Explainability Analysis: An In-Depth Comparison between Fuzzy Cognitive Maps and LAMDA

  Diego Javier Benito, Carlos Quintero, Jose Aguilar, Juan Marcos Ramirez, Antonio Fernández Anta

  Applied Soft Computing. 10.1016/j.asoc.2024.111940. Volumen 164 , Elsevier. ISSN: 1568-4946. Julio 2024