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Rodrigo García
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2020 – today
- 2025
- [j7]Sebastián Pizard, Joaquín Lezama, Rodrigo García, Diego Vallespir, Barbara A. Kitchenham:
Using rapid reviews to support software engineering practice: a systematic review and a replication study. Empir. Softw. Eng. 30(1): 10 (2025) - 2024
- [j6]Rodrigo García, José Aguilar:
A meta-learning approach in a cattle weight identification system for anomaly detection. Comput. Electron. Agric. 217: 108572 (2024) - [j5]Marvin Jiménez, Rodrigo García, José Aguilar:
A many-objective optimization approach for weight gain and animal welfare in rotational grazing of cattle. Eng. Appl. Artif. Intell. 133: 108264 (2024) - [j4]Rodrigo García, José Aguilar, Ángel Pinto:
An autonomous system for the self-supervision of animal fattening in the context of precision livestock farming. Future Gener. Comput. Syst. 150: 220-231 (2024) - [c6]Carlos Quintero Gull, José Lisandro Aguilar, Rodrigo García:
Study of Explainability Analysis Methods for the LAMDA Family Algorithms in Classification and Clustering Tasks. IJCNN 2024: 1-8 - 2023
- [j3]Rodrigo García, Charles Benitez, José Aguilar:
Management System for the Fattening Process of Bovines in Rotational Grazing using Diagnosis and Recommendation Systems. CLEI Electron. J. 26(2) (2023) - [j2]Rodrigo García, José Aguilar, Mauricio Toro, Nelson Pérez, Ángel Pinto, Paul Rodríguez:
Autonomic computing in a beef-production process for Precision Livestock Farming. J. Ind. Inf. Integr. 31: 100425 (2023) - 2022
- [c5]Charles Benitez, Rodrigo García, José Aguilar, Marvin Jiménez, Horderlin Robles:
Supervision System of the Fattening Process of Cattle in Rotational Grazing using Fuzzy Classification. CLEI 2022: 1-10 - 2021
- [c4]Rodrigo García, José Aguilar, Mauricio Toro, Marvin Jiménez:
Weight-Identification Model of Cattle Using Machine-Learning Techniques for Anomaly Detection. SSCI 2021: 1-7 - 2020
- [j1]Rodrigo García, José Aguilar, Mauricio Toro, Ángel Pinto, Paul Rodríguez:
A systematic literature review on the use of machine learning in precision livestock farming. Comput. Electron. Agric. 179: 105826 (2020)
2000 – 2009
- 2006
- [c3]Rodrigo García, Pablo Gervás, Raquel Hervás, Rafael Pérez y Pérez, Fernando Arámbula Cosío:
A Framework for the E-R Computational Creativity Model. MICAI 2006: 70-80 - 2001
- [c2]Tullio Vardanega, Rodrigo García, Juan Antonio de la Puente:
An Application Case for Ravenscar Technology: Porting OBOSS to GNAT/ORK. Ada-Europe 2001: 392-404 - 2000
- [c1]Juan Antonio de la Puente, Juan Zamorano, José F. Ruiz, Ramón Fernández, Rodrigo García:
The design and implementation of the open Ravenscar kernel. IRTAW 2000: 85-90
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