William Hoyos

According to our database, William Hoyos authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Combining Fuzzy Cognitive Maps and Metaheuristic Algorithms to Predict Preeclampsia and Intrauterine Growth Restriction.

María Paula García, Jesús David Díaz-Meza, Kenia Hoyos, Bethia Pacheco, Rodrigo García, William Hoyos

Informatics, 2025

Supporting decision-making in the clinical management of dengue using predictive and prescriptive modeling.

William Hoyos, José Aguilar, Mauricio Toro

CLEI Electron. J., 2025

Multistage Training of Fuzzy Cognitive Maps to Predict Preeclampsia and Fetal Growth Restriction.

William Hoyos, Rodrigo García, José Aguilar

IEEE Access, 2025

A Prescriptive Approach Based on Fuzzy Cognitive Maps and Genetic Algorithms for Disease Management in Beef Production.

Rodrigo García, José Aguilar, Ángel Pinto, William Hoyos

IEEE Access, 2025

Quantum LAMDA in Binary Classification Problems.

Álvaro Fernandez, Rosa E. Lillo, Jose Aguilar, William Hoyos

Proceedings of the 44th International Conference of the Chilean Computer Science Society, 2025

Federated Learning for the Detection of Anomalies in Beef Cattle Fattening.

Rodrigo García, William Hoyos, José Lisandro Aguilar, Jessica Polo

Proceedings of the LI Latin American Computer Conference, 2025

2024

An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques.

William Hoyos, Kenia Hoyos, Rander Ruiz, José Aguilar

BMC Medical Informatics Decis. Mak., December, 2024

Tuning Data Mining Models to Predict Secondary School Academic Performance.

William Hoyos, Isaac Caicedo-Castro

Data, July, 2024

Explainability Analysis of the Evaluation Model of the Level of Digital Transformation in MSMEs based on Fuzzy Cognitive Maps: Explainability Analysis on Fuzzy Cognitive Maps.

José Aguilar, Jairo Fuentes, Edwin Montoya, William Hoyos, Diego Benito

CLEI Electron. J., 2024

Different transfer learning approaches for insect pest classification in cotton.

Raúl Emiro Toscano Miranda, José Aguilar, William Hoyos, Manuel Caro, Aníbal T. de Almeida, Mauricio Toro

Appl. Soft Comput., 2024

2023

Case studies of clinical decision-making through prescriptive models based on machine learning.

William Hoyos, José Aguilar, Mayra Raciny, Mauricio Toro

Comput. Methods Programs Biomed., December, 2023

PRV-FCM: An extension of fuzzy cognitive maps for prescriptive modeling.

William Hoyos, José Aguilar, Mauricio Toro

Expert Syst. Appl., November, 2023

Federated learning approaches for fuzzy cognitive maps to support clinical decision-making in dengue.

William Hoyos, José Aguilar, Mauricio Toro

Eng. Appl. Artif. Intell., 2023

An Approach Based on Fuzzy Cognitive Maps with Federated Learning to Predict Severity in Viral Diseases.

Camilo Garatejo, William Hoyos, José Aguilar

Proceedings of the XLIX Latin American Computer Conference, 2023

Evaluation of the Level of Digital Transformation in MSMEs Using Fuzzy Cognitive Maps Based on Experts.

Jairo Fuentes, José Aguilar, Edwin Montoya, William Hoyos

Proceedings of the XLIX Latin American Computer Conference, 2023

2022

A Classification Model of Cotton Boll-Weevil Population.

Raúl Emiro Toscano Miranda, William Hoyos, Manuel Caro, José Aguilar, Aníbal T. de Almeida, Mauricio Toro

Proceedings of the XLVIII Latin American Computer Conference, 2022

2021

Dengue models based on machine learning techniques: A systematic literature review.

William Hoyos, José Aguilar, Mauricio Toro

Artif. Intell. Medicine, 2021