IMDEA Networks
Dr. Juan Marcos RAMIREZ
Post-Doc Researcher
- PhD: Doctor's degree in applied sciences - Universidad de Los Andes. Mérida, Venezuela
- MSc: Master's degree in biomedical engineering - Universidad de Los Andes. Mérida, Venezuela
- BSc: B.S. diploma in electrical engineering - Universidad de Los Andes. Mérida, Venezuela
- Former position: MSCA (Got Energy Talent) Postdoctoral Fellow at the Universidad Rey Juan Carlos, Madrid.
- Joining date: November 2021
- Website: https://juanmarcosramirez.github.io/
- Email: juan.ramirez@imdea.org
- Phone: +34 91 481 6927
Publications
Middle-Output Deep Image Prior for Blind Hyperspectral and Multispectral Image Fusion
Jorge Bacca, Cristian Arcos, Juan Marcos Ramirez, Henry Arguello
Signal Processing: Image Communication. 10.1016/j.image.2024.117247. Volume 132 , Elsevier. ISSN: 0923-5965. March 2025
Performance Analysis of NSUM Estimators in Social-Network Topologies
Sergio Díaz-Aranda, Jose Aguilar, Juan Marcos Ramirez, David Rabanedo, Antonio Fernández Anta, Rosa Elvira Lillo
The American Statistician. Taylor & Francis on behalf of the American Statistical Association (United States). ISSN: 0003-1305. December 2024
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. Volume 12 , IEEE Society. ISSN: 2169-3536. September 2024
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. Volume 258 , Elsevier. ISSN: 0957-4174. August 2024
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. August 2024