IMDEA Networks
User Publications
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
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. Volume 137 , Elsevier. ISSN: 0952-1976. August 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
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. Volume 164 , Elsevier. ISSN: 1568-4946. July 2024
A Synthetic Data Generation System based on the Variational-Autoencoder Technique and the Linked Data Paradigm
Ricardo Dos Santos, Jose Aguilar
Progress in Artificial Intelligence. 10.1007/s13748-024-00328-x. Volume 13 , Springer. ISSN: 2192-6352. June 2024
Emotions as implicit feedback for adapting difficulty in tutoring systems based on reinforcement learning
Jesus Pérez, Eladio Dapena, Jose Aguilar
Education and Information Technologies. 10.1007/s10639-024-12699-8. Springer. ISSN: 1360-2357. May 2024
A Many-Objective Optimization Approach for Weight Gain and Animal Welfare in Rotational Grazing of Cattle
Marvin Jimenez, Rodrigo García, Jose Aguilar
Engineering Applications of Artificial Intelligence. 10.1016/j.engappai.2024.108264. Volume 133 , Elsevier. March 2024
Nowcasting Temporal Trends Using Indirect Surveys
Ajitesh Srivastava, Srivastava Ajitesh, Juan Marcos Ramirez, Sergio Díaz-Aranda, Jose Aguilar, Antonio Ortega, Antonio Fernández Anta, Rosa Elvira Lillo
Annual AAAI Conference on Artificial Intelligence. Vancouver, Canada. March 2024
A meta-learning approach in a cattle weight identification system for anomaly detection
Rodrigo García, Jose Aguilar
Computers and Electronics in Agriculture. 10.1016/j.compag.2023.108572. Volume 217 , Elsevier. ISSN: 0168-1699. February 2024
Different Transfer Learning Approaches for Insect Pest Classification in Cotton
Raul Toscano-Miranda, Jose Aguilar, William Hoyos, Manuel Caro, Anibal Trebilcok, Mauricio Toro
Applied Soft Computing. 10.1016/j.asoc.2024.111283. Elsevier. ISSN: 1568-4946. February 2024
Performance Analysis of NSUM Estimators in Social-Network Topologies (Accepted for publication)
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. January 2024
An Autonomous System for the Self-supervision of Animal Fattening in the context of Precision Livestock Farming
Rodrigo García, Jose Aguilar, Angel Pinto
Future Generation Computer Systems. 10.1016/j.future.2023.09.003. Volume 150 , Elsevier. ISSN: 0167-739X. January 2024
Performance and Explainability of Feature Selection-Boosted Tree-based Classifiers for COVID-19 Detection
Jesús Rufino, Juan Marcos Ramirez, Jose Aguilar, Carlos Baquero, Jaya Prakash Champati, Davide Frey, Rosa Elvira Lillo, Antonio Fernández Anta
Heliyon. 10.1016/j.heliyon.2023.e23219. Elsevier. December 2023
Explainability Analysis in Predictive Models Based on Machine Learning Techniques on the Risk of Hospital Readmissions
Juan Lopera, Jose Aguilar
Health and Technology. 10.1007/s12553-023-00794-8. Springer. ISSN: 2190-7196. December 2023
Case studies of clinical decision-making through prescriptive models based on machine learning
William Hoyos, Jose Aguilar, Mayra Raciny, Mauricio Toro
Computer Methods and Programs in Biomedicine. 10.1016/j.cmpb.2023.107829. Volume 242 , Elsevier. November 2023
Evaluation of the Level of Digital Transformation in MSMEs Using Fuzzy Cognitive Maps Based on Experts
Jairo Fuentes, Jose Aguilar, William Hoyos, Edwin Montoya
Latin American Computer Conference. La Paz, Bolivia. October 2023
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
A generic architecture of an affective recommender system for e-learning environments
Juan Salazar, Jose Aguilar, Julian Monsalve, Edwin Montoya
Universal Access in the Information Society. 10.1007/s10209-023-01024-8. Springer. ISSN: 1615-5289. August 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