Dengue models based on machine learning techniques: A systematic literature review. - William Hoyos; José Aguilar 001; Mauricio Toro (Artif. Intell. Medicine, 2021)

A Classification Model of Cotton Boll-Weevil Population. - Raúl Emiro Toscano Miranda; William Hoyos; Manuel Caro; José Aguilar 001; Aníbal T. de Almeida; Mauricio Toro (CLEI, 2022)

Evaluation of the Level of Digital Transformation in MSMEs Using Fuzzy Cognitive Maps Based on Experts. - Jairo Fuentes; José Aguilar 001; Edwin Montoya; William Hoyos (CLEI, 2023)

An Approach Based on Fuzzy Cognitive Maps with Federated Learning to Predict Severity in Viral Diseases. - Camilo Garatejo; William Hoyos; José Aguilar 001 (CLEI, 2023)

Federated learning approaches for fuzzy cognitive maps to support clinical decision-making in dengue. - William Hoyos; José Aguilar 001; Mauricio Toro (Eng. Appl. Artif. Intell., 2023)

PRV-FCM: An extension of fuzzy cognitive maps for prescriptive modeling. - William Hoyos; José Aguilar 001; Mauricio Toro (Expert Syst. Appl., 2023)

Case studies of clinical decision-making through prescriptive models based on machine learning. - William Hoyos; José Aguilar 001; Mayra Raciny; Mauricio Toro (Comput. Methods Programs Biomed., 2023)

Different transfer learning approaches for insect pest classification in cotton. - Raúl Emiro Toscano Miranda; José Aguilar 001; William Hoyos; Manuel Caro; Aníbal T. de Almeida; Mauricio Toro (Appl. Soft Comput., 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 001; Jairo Fuentes; Edwin Montoya; William Hoyos; Diego Benito (CLEI Electron. J., 2024)

Tuning Data Mining Models to Predict Secondary School Academic Performance. - William Hoyos; Isaac Caicedo-Castro (Data, 2024)

An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques. - William Hoyos; Kenia Hoyos; Rander Ruiz; José Aguilar 001 (BMC Medical Informatics Decis. Mak., 2024)

A Prescriptive Approach Based on Fuzzy Cognitive Maps and Genetic Algorithms for Disease Management in Beef Production. - Rodrigo García; José Aguilar 001; Ángel Pinto; William Hoyos (IEEE Access, 2025)

Multistage Training of Fuzzy Cognitive Maps to Predict Preeclampsia and Fetal Growth Restriction. - William Hoyos; Rodrigo García; José Aguilar 001 (IEEE Access, 2025)