| Dengue models based on machine learning techniques: A systematic literature review W Hoyos, J Aguilar, M Toro Artificial intelligence in medicine 119, 102157, 2021 | 65 | 2021 |
| A clinical decision-support system for dengue based on fuzzy cognitive maps W Hoyos, J Aguilar, M Toro Health care management science 25 (4), 666-681, 2022 | 38 | 2022 |
| Federated learning approaches for fuzzy cognitive maps to support clinical decision-making in dengue W Hoyos, J Aguilar, M Toro Engineering Applications of Artificial Intelligence 123, 106371, 2023 | 25 | 2023 |
| PRV-FCM: An extension of fuzzy cognitive maps for prescriptive modeling W Hoyos, J Aguilar, M Toro Expert Systems with Applications 231, 120729, 2023 | 18 | 2023 |
| Seguridad alimentaria y estado nutricional en niños vinculados a centros de desarrollo infantil LJ Ríos-Marín, LM Chams-Chams, NN Valencia-Jiménez, ... Hacia la Promoción de la Salud 27 (2), 161-173, 2022 | 14 | 2022 |
| An autonomous cycle of data analysis tasks for the clinical management of dengue W Hoyos, J Aguilar, M Toro Heliyon 8 (10), 2022 | 14 | 2022 |
| Supporting malaria diagnosis using deep learning and data augmentation K Hoyos, W Hoyos Diagnostics 14 (7), 690, 2024 | 11 | 2024 |
| Different transfer learning approaches for insect pest classification in cotton R Toscano-Miranda, J Aguilar, W Hoyos, M Caro, A Trebilcok, M Toro Applied Soft Computing 153, 111283, 2024 | 9 | 2024 |
| Modelo de inteligencia artificial para la detección temprana de diabetes W Hoyos, K Hoyos, R Ruiz-Pérez Biomédica 43, 110-125, 2023 | 7 | 2023 |
| Case studies of clinical decision-making through prescriptive models based on machine learning W Hoyos, J Aguilar, M Raciny, M Toro Computer Methods and Programs in Biomedicine 242, 107829, 2023 | 7 | 2023 |
| Relación de consumo de pescado y niveles de mercurio en pobladores aledaños al río San Jorge, Colombia L Gracia, L Chams, W Hoyos, J MARRUGO | 5 | 2016 |
| Solid Domestic Waste classification using Image Processing and Machine Learning D Gomez, M Toro, W Hoyos | 4 | 2021 |
| Evaluation of the level of digital transformation in MSMEs using fuzzy cognitive maps based on experts J Fuentes, J Aguilar, E Montoya, W Hoyos 2023 XLIX Latin American Computer Conference (CLEI), 1-8, 2023 | 2 | 2023 |
| A classification model of cotton boll-weevil population R Toscano-Miranda, W Hoyos, M Caro, J Aguilar, A Trebilcok, M Toro 2022 XVLIII Latin American Computer Conference (CLEI), 1-5, 2022 | 2 | 2022 |
| An Approach Based on Fuzzy Cognitive Maps with Federated Learning to Predict Severity in Viral Diseases C Garatejo, W Hoyos, J Aguilar 2023 XLIX Latin American Computer Conference (CLEI), 1-10, 2023 | 1 | 2023 |
| An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques W Hoyos, K Hoyos, R Ruiz, J Aguilar BMC Medical Informatics and Decision Making 24 (1), 383, 2024 | | 2024 |
| Implementación de mapas cognitivos difusos con algoritmos genéticos para predecir diabetes mellitus tipo 2 W Hoyos, R Ruiz, K Hoyos TecnoLógicas 27 (60), e3061, 2024 | | 2024 |
| Implementation of Fuzzy Cognitive Maps with Genetic Algorithms for Predicting Type 2 Diabetes Mellitus W Hoyos, R Ruíz, K Hoyos TecnoLógicas 27 (60), 2024 | | 2024 |
| Explainability Analysis of the Evaluation Model of the Level of Digital Transformation in MSMEs based on Fuzzy Cognitive Maps J Fuentes, J Aguilar, E Montoya, W Hoyos, D Benito CLEI Electronic Journal 27 (2), 1-28, 2024 | | 2024 |
| Tuning Data Mining Models to Predict Secondary School Academic Performance W Hoyos, I Caicedo-Castro Data 9 (7), 86, 2024 | | 2024 |
