Guillermo Cabrera-Vives

According to our database, Guillermo Cabrera-Vives authored at least 15 papers between 2016 and 2024.

Collaborative distances:

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

2024

Quantifying massively parallel microbial growth with spatially mediated interactions.

Florian Borse, Dovydas Kiciatovas, Teemu Kuosmanen, Mabel Vidal, Guillermo Cabrera-Vives, Johannes Cairns, Jonas Warringer, Ville Mustonen

PLoS Comput. Biol., 2024

2023

Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts.

Guillermo Cabrera-Vives, César Bolivar, Francisco Förster, Alejandra Muñoz Arancibia, Manuel Pérez-Carrasco, Esteban Reyes

CoRR, 2023

Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories.

Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Lorena Hernández-García, Francisco Förster, Paula Sánchez-Sáez, Alejandra Muñoz Arancibia, Nicolás Astorga, Franz E. Bauer, Amelia Bayo, Martina Cádiz-Leyton, Márcio Catelán

CoRR, 2023

2022

Precision silviculture: use of UAVs and comparison of deep learning models for the identification and segmentation of tree crowns in pine crops.

Manuel Pérez-Carrasco, Bruno Karelovic, Roberto Molina, Rodrigo Saavedra, Pierluigi Cerulo, Guillermo Cabrera-Vives

Int. J. Digit. Earth, December, 2022

Toward Fractal Development of Data Processing-Intensive Artificial Intelligence Systems.

Diego Rodríguez-Mancini, Zheng Li, Camilo Valenzuela, Guillermo Cabrera-Vives, Francisco Förster

IEEE Softw., 2022

ASTROMER: A transformer-based embedding for the representation of light curves.

C. Donoso-Oliva, I. Becker, Pavlos Protopapas, Guillermo Cabrera-Vives, Vishnu M., Harsh Vardhan

CoRR, 2022

Con²DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations.

Manuel Pérez-Carrasco, Pavlos Protopapas, Guillermo Cabrera-Vives

CoRR, 2022

Bonus computing: towards free-of-charge metacomputing in the public cloud.

Zheng Li, Pedro Pinacho Davidson, Monserrat Martínez-Marin, Guillermo Cabrera-Vives, Yiqun Chen, María Andrea Rodríguez, Albert Y. Zomaya, Rajiv Ranjan

Computing, 2022

Managing the Root Causes of "Internal API Hell": An Experience Report.

Guillermo Cabrera-Vives, Zheng Li, Austen Rainer, Dionysis Athanasopoulos, Diego Rodríguez-Mancini, Francisco Förster

Proceedings of the Product-Focused Software Process Improvement, 2022

2021

The effect of phased recurrent units in the classification of multiple catalogs of astronomical lightcurves.

C. Donoso-Oliva, Guillermo Cabrera-Vives, Pavlos Protopapas, Rodrigo Carrasco-Davis, Pablo A. Estévez

CoRR, 2021

2020

Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier.

Rodrigo Carrasco-Davis, Esteban Reyes, Camilo Valenzuela, Francisco Förster, Pablo A. Estévez, Giuliano Pignata, Franz E. Bauer, Ignacio Reyes, Paula Sánchez-Sáez, Guillermo Cabrera-Vives, Susana Eyheramendy, Márcio Catelán, Javier Arredondo, Ernesto Castillo-Navarrete, Diego Rodríguez-Mancini, Daniela Ruz-Mieres, Alberto Moya, Luis Sabatini-Gacitúa, Cristóbal Sepúlveda-Cobo, Ashish Mahabal, Javier Silva-Farfán, Ernesto Camacho-Iñiquez, Lluís Galbany

CoRR, 2020

2019

Adversarial Variational Domain Adaptation.

Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Pavlos Protopapas, Nicolas Astorga, Marouan Belhaj

CoRR, 2019

2018

Enhanced Rotational Invariant Convolutional Neural Network for Supernovae Detection.

Esteban Reyes, Pablo A. Estévez, Ignacio Reyes, Guillermo Cabrera-Vives, Pablo Huijse, Rodrigo Carrasco, Francisco Förster

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection.

Guillermo Cabrera-Vives, Ignacio Reyes, Francisco Förster, Pablo A. Estévez, Juan-Carlos Maureira

CoRR, 2017

2016

Supernovae detection by using convolutional neural networks.

Guillermo Cabrera-Vives, Ignacio Reyes, Francisco Förster, Pablo A. Estévez, Juan-Carlos Maureira

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016