Roberto Ahumada-García

According to our database, Roberto Ahumada-García authored at least 11 papers between 2017 and 2026.

Collaborative distances:

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

2026

Machine learning for predicting bee honey production and quality: A systematic review.

Roberto Ahumada-García, David Zabala-Blanco, Víctor Hugo Monzón, Nádia Félix Felipe da Silva, Thierson Couto Rosa, Alef Iury Siqueira Ferreira, Xaviera A. López-Cortés, Marco Flores-Calero, Philip Vasquez-Iglesias

Comput. Electron. Agric., 2026

2025

Visible Light Positioning for 2D/3D Indoor Environments Using Extreme Learning Algorithms.

Nicolás Pacheco-Valenzuela, David Zabala-Blanco, Cesar A. Azurdia-Meza, Ismael Soto, Pablo Palacios Játiva, Roberto Ahumada-García, Philip Vasquez-Iglesias, Cristóbal Carreño Mosqueira, Nicolas Krommenacker, Patrick Charpentier, Iván Sánchez

IEEE Access, 2025

2024

Predicting Bacterial Antibiotic Resistance using MALDI-TOF Mass Spectrometry Databases with ELM Applications.

Felipe Tirado, Xaviera Lopez Cortez, Vicente Macaya Mejías, David Zabala-Blanco, José M. Manríquez-Troncoso, Roberto Ahumada-García

J. Comput. Sci. Technol., 2024

Diamond Prices Estimation with ELM-Based Regressors.

David Zabala-Blanco, José Ramírez, Roberto Ahumada-García, Marco J. Flores-Calero, Pablo Palacios Játiva, Ronald V. Saire-Yujra

Proceedings of the 43rd International Conference of the Chilean Computer Science Society, 2024

Hyper-parameter Optimization of Regularized-Extreme Learning Machine Using a Modified Opposition-Based Learning Artificial Bee Colony.

Philip Vasquez-Iglesias, Amelia E. Pizarro, David Zabala-Blanco, Juan Fuentes-Concha, Roberto Ahumada-García, Paulo González

Proceedings of the 43rd International Conference of the Chilean Computer Science Society, 2024

A Review on Predicting Bee Honey Production Using Machine Learning.

Roberto Ahumada-García, Ian Morales Adasme, David Zabala-Blanco, Xaviera A. López-Cortés, Marco J. Flores-Calero, Ismael Soto

Proceedings of the 43rd International Conference of the Chilean Computer Science Society, 2024

Analysis of a Visible Light Positioning Database in Extreme Learning Machines Applications.

Benjamín Lobos Soto, Cesar A. Azurdia-Meza, David Zabala-Blanco, Ismael Soto, Pablo Palacios Játiva, Roberto Ahumada-García

Proceedings of the 14th International Symposium on Communication Systems, 2024

2023

Wine Quality Classification using Physicochemical Properties along with Extreme Learning Machines.

Ítalo Torres González, David Zabala-Blanco, Roberto Ahumada-García, Juan Pablo Rivelli Malcó, Cesar A. Azurdia-Meza, Pablo Palacios Játiva

Proceedings of the 42nd IEEE International Conference of the Chilean Computer Science Society, 2023

Extreme Learning Machine (ELM) for Detection of Hazardous Near Earth Objects.

Roberto Ahumada-García, Esteban Morán Faúndez, David Zabala-Blanco, Xaviera A. López-Cortés, Juan Pablo Rivelli Malcó, Ismael Soto

Proceedings of the 42nd IEEE International Conference of the Chilean Computer Science Society, 2023

2019

Identification of Immunoglobulin Gene Usage in Immune Repertoires Sequenced by Nanopore Technology.

Roberto Ahumada-García, Jorge González-Puelma, Diego Álvarez-Saravia, Ricardo J. Barrientos, Roberto Uribe Paredes, Xaviera A. López-Cortés, Marcelo A. Navarrete

Proceedings of the Bioinformatics and Biomedical Engineering, 2019

2017

Machine Learning for Prediction of Frost Episodes in the Maule Region of Chile.

Patricia Möller-Acuña, Roberto Ahumada-García, José Antonio Reyes-Suárez

Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017