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William Hoyos
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2020 – today
- 2024
- [j7]Raúl Emiro Toscano Miranda, José Aguilar, William Hoyos, Manuel Caro, Anibal T. de Almeida, Mauricio Toro:
Different transfer learning approaches for insect pest classification in cotton. Appl. Soft Comput. 153: 111283 (2024) - [j6]José Aguilar, Jairo Fuentes, Edwin Montoya, William Hoyos, Diego Benito:
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. CLEI Electron. J. 27(2) (2024) - [j5]William Hoyos, Isaac Caicedo-Castro:
Tuning Data Mining Models to Predict Secondary School Academic Performance. Data 9(7): 86 (2024) - 2023
- [j4]William Hoyos, José Aguilar, Mayra Raciny, Mauricio Toro:
Case studies of clinical decision-making through prescriptive models based on machine learning. Comput. Methods Programs Biomed. 242: 107829 (2023) - [j3]William Hoyos, José Aguilar, Mauricio Toro:
Federated learning approaches for fuzzy cognitive maps to support clinical decision-making in dengue. Eng. Appl. Artif. Intell. 123(Part B): 106371 (2023) - [j2]William Hoyos, José Aguilar, Mauricio Toro:
PRV-FCM: An extension of fuzzy cognitive maps for prescriptive modeling. Expert Syst. Appl. 231: 120729 (2023) - [c3]Jairo Fuentes, José Aguilar, Edwin Montoya, William Hoyos:
Evaluation of the Level of Digital Transformation in MSMEs Using Fuzzy Cognitive Maps Based on Experts. CLEI 2023: 1-8 - [c2]Camilo Garatejo, William Hoyos, José Aguilar:
An Approach Based on Fuzzy Cognitive Maps with Federated Learning to Predict Severity in Viral Diseases. CLEI 2023: 1-10 - 2022
- [c1]Raúl Emiro Toscano Miranda, William Hoyos, Manuel Caro, José Aguilar, Anibal T. de Almeida, Mauricio Toro:
A Classification Model of Cotton Boll-Weevil Population. CLEI 2022: 1-5 - 2021
- [j1]William Hoyos, José Aguilar, Mauricio Toro:
Dengue models based on machine learning techniques: A systematic literature review. Artif. Intell. Medicine 119: 102157 (2021)
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last updated on 2024-08-29 21:51 CEST by the dblp team
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