William Hoyos

According to our database, William Hoyos authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

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, Anibal 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, Anibal 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