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
Consistent Comparison of Symptom-based Methods for COVID-19 Infection Detection
Jesús Rufino, Juan Marcos Ramirez, Jose Aguilar, Carlos Baquero, Jaya Prakash Champati, Rosa Elvira Lillo, Antonio Fernández Anta
International Journal of Medical Informatics. 10.1016/j.ijmedinf.2023.105133. Volume 177 , Elsevier. September 2023
Consistent Comparison of Symptom-based Methods for COVID-19 Infection Detection (Extended Abstract) (Poster)
Jesús Rufino, Juan Marcos Ramirez, Jose Aguilar, Carlos Baquero, Jaya Prakash Champati, Davide Frey, Rosa Elvira Lillo, Antonio Fernández Anta
epiDAMIK 6.0: The 6th International workshop on Epidemiology meets Data Mining and Knowledge discovery. Long Beach, California, United States.. August 2023
A Snapshot of COVID-19 Incidence, Hospitalizations, and Mortality from Indirect Survey Data in China in January 2023 (Extended Abstract) (Poster)
Juan Marcos Ramirez, Sergio Diaz Aranda, Muhammad Sarmad Shahab Mir, Jose Aguilar, Oluwasegun Ojo, Rosa Elvira Lillo, Antonio Fernández Anta
epiDAMIK 6.0: The 6th International workshop on Epidemiology meets Data Mining and Knowledge discovery. Long Beach, California, United States. August 2023
Compressive Spectral Video Sensing Using The Convolutional Sparse Coding Framework CSC4D
Crisóstomo Barajas, Juan Marcos Ramirez, Jose Ignacio Martinez Torre, Henry Arguello
Journal of Visual Communication and Image Representation. 10.1016/j.jvcir.2023.103782. Volume 92 , Elsevier. April 2023
Explainable Machine Learning for Performance Anomaly Detection and Classification in Mobile Networks
Juan Marcos Ramirez, Fernando Díez, Pablo Rojo, Vincenzo Mancuso, Antonio Fernández Anta
Computer Communications. Elsevier. February 2023