Facundo Manuel Quiroga

According to our database, Facundo Manuel Quiroga authored at least 17 papers between 2015 and 2024.

Collaborative distances:

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

2024

FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning.

Saif Khalid, Hatem A. Rashwan, Saddam Abdulwahab, Mohamed Abdel-Nasser, Facundo Manuel Quiroga, Domenec Puig

Expert Syst. Appl., March, 2024

2023

comparison of small sample methods for Handshape Recognition.

Franco Ronchetti, Facundo Manuel Quiroga, Ulises Cornejo Fandos, Gastón Ríos, Pedro Dal Bianco, Waldo Hasperué, Laura Lanzarini

J. Comput. Sci. Technol., April, 2023

LSA64: An Argentinian Sign Language Dataset.

Franco Ronchetti, Facundo Manuel Quiroga, César Estrebou, Laura Lanzarini, Alejandro Rosete

CoRR, 2023

Handshape recognition for Argentinian Sign Language using ProbSom.

Franco Ronchetti, Facundo Manuel Quiroga, César Estrebou, Laura Lanzarini

CoRR, 2023

Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks.

Facundo Manuel Quiroga, Franco Ronchetti, Laura Lanzarini, Aurelio Fernández Bariviera

CoRR, 2023

Invariance measures for neural networks.

Facundo Manuel Quiroga, Jordina Torrents-Barrena, Laura Lanzarini, Domenec Puig-Valls

Appl. Soft Comput., 2023

The Implementation of the RISE Algorithm for the Captum Framework.

Oscar Stanchi, Franco Ronchetti, Facundo Manuel Quiroga

Proceedings of the Cloud Computing, Big Data & Emerging Topics - 11th Conference, 2023

2022

Statistical analysis of the performance of four Apache Spark ML algorithms.

Genaro Camele, Waldo Hasperué, Franco Ronchetti, Facundo Manuel Quiroga

J. Comput. Sci. Technol., 2022

LSA-T: The First Continuous Argentinian Sign Language Dataset for Sign Language Translation.

Pedro Dal Bianco, Gastón Ríos, Franco Ronchetti, Facundo Manuel Quiroga, Oscar Stanchi, Waldo Hasperué, Alejandro Rosete

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022

2021

Invariance and Same-Equivariance Measures for Convolutional Neural Networks.

Facundo Manuel Quiroga

CLEI Electron. J., 2021

A Comparison of Neural Networks for Sign Language Recognition with LSA64.

Iván Mindlin, Facundo Manuel Quiroga, Franco Ronchetti, Pedro Dal Bianco, Gastón Ríos, Laura Lanzarini, Waldo Hasperué

Proceedings of the Cloud Computing, Big Data & Emerging Topics - 9th Conference, 2021

Structured Text Generation for Spanish Freestyle Battles using Neural Networks.

Pedro Dal Bianco, Iván Mindlin, Laura Lanzarini, Franco Ronchetti, Waldo Hasperué, Facundo Manuel Quiroga

Proceedings of the XLVII Latin American Computing Conference, 2021

2020

Thesis Overview Invariance and Same-Equivariance Measures for Convolutional Neural Networks.

Facundo Manuel Quiroga, Laura Lanzarini

J. Comput. Sci. Technol., 2020

Reddening-Free Q Indices to Identify Be Star Candidates.

Yael Aidelman, Carlos Escudero, Franco Ronchetti, Facundo Manuel Quiroga, Laura Lanzarini

Proceedings of the Cloud Computing, Big Data & Emerging Topics - 8th Conference, 2020

2019

Measuring (in)variances in Convolutional Networks.

Facundo Manuel Quiroga, Jordina Torrents-Barrena, Laura Lanzarini, Domenec Puig

Proceedings of the 7th Conference on Cloud Computing & Big Data, 2019

2016

Sign Languague Recognition Without Frame-Sequencing Constraints: A Proof of Concept on the Argentinian Sign Language.

Franco Ronchetti, Facundo Manuel Quiroga, César Estrebou, Laura Lanzarini, Alejandro Rosete

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2016, 2016

2015

Distribution of action movements (DAM): a descriptor for human action recognition.

Franco Ronchetti, Facundo Manuel Quiroga, Laura Lanzarini, Cesar Estrebou

Frontiers Comput. Sci., 2015