Face recognition based on fuzzy probabilistic SOM. - Laura Lanzarini; Franco Ronchetti; Cesar Estrebou; Luciana Lens; Aurelio Fernández Bariviera (IFSA/NAFIPS, 2013)

Distribution of action movements (DAM): a descriptor for human action recognition. - Franco Ronchetti; Facundo Manuel Quiroga; Laura Lanzarini; Cesar Estrebou (Frontiers Comput. Sci., 2015)

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 (IBERAMIA, 2016)

Reddening-Free Q Indices to Identify Be Star Candidates. - Yael Aidelman; Carlos Escudero; Franco Ronchetti; Facundo Manuel Quiroga; Laura Lanzarini (JCC-BD&ET, 2020)

Distribution Analysis of Postal Mail in Argentina Using Process Mining. - Victor Martinez; Laura Lanzarini; Franco Ronchetti (CACIC, 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 (CLEI, 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 (JCC-BD&ET, 2021)

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 (IBERAMIA, 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)

An Analysis of Satellite-Based Machine Learning Models to Estimate Global Solar Irradiance at a Horizontal Plane. - Paula Iturbide; Rodrigo Alonso Suárez; Franco Ronchetti (JCC-BD&ET, 2023)

The Implementation of the RISE Algorithm for the Captum Framework. - Oscar Stanchi; Franco Ronchetti; Facundo Manuel Quiroga (JCC-BD&ET, 2023)

Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks. - Facundo Manuel Quiroga; Franco Ronchetti; Laura Lanzarini; Aurelio Fernández Bariviera (CoRR, 2023)

Handshape recognition for Argentinian Sign Language using ProbSom. - Franco Ronchetti; Facundo Manuel Quiroga; César Estrebou; Laura Lanzarini (CoRR, 2023)

LSA64: An Argentinian Sign Language Dataset. - Franco Ronchetti; Facundo Manuel Quiroga; César Estrebou; Laura Lanzarini; Alejandro Rosete (CoRR, 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., 2023)

High-Resolution Income Estimates Using Satellite Imagery: A Deep Learning Approach Applied in Buenos Aires. - Nicolás F. Abbate; Leonardo Gasparini; Franco Ronchetti; Facundo Manuel Quiroga (CLEI, 2024)

Wavelength Calibration of Historical Spectrographic Plates with Dynamic Time Warping. - Santiago Andres Ponte Ahón; Juan Martín Seery; Facundo Manuel Quiroga; Franco Ronchetti; Oscar Stanchi; Pedro Dal Bianco; Waldo Hasperué; Yael Aidelman; Roberto Gamen (JCC-BD&ET, 2024)

CB-RISE: Improving the RISE Interpretability Method Through Convergence Detection and Blurred Perturbations. - Oscar Stanchi; Franco Ronchetti; Pedro Dal Bianco; Gastón Ríos; Santiago Ponte Ahón; Waldo Hasperué; Facundo Manuel Quiroga (JCC-BD&ET, 2024)

PlateUNLP: An Open-Source Solution for Automating the Digitization of Historical Astronomical Plates. - Santiago Andres Ponte Ahón; Yael Aidelman; Juan Martín Seery; Facundo Manuel Quiroga; Franco Ronchetti; Waldo Hasperué; M. Iannuzzi; R. Peralta; M. López; Aurelio Fernández Bariviera; Lydia Cidale; Roberto Gamen (GCH, 2024)

First Experiences with the Identification of People at Risk for Diabetes in Argentina using Machine Learning Techniques. - Enzo Rucci; Gonzalo Tittarelli; Franco Ronchetti; Jorge F. Elgart; Laura Lanzarini; Juan José Gagliardino (CoRR, 2024)

SignAttention: On the Interpretability of Transformer Models for Sign Language Translation. - Pedro Alejandro Dal Bianco; Oscar Agustín Stanchi; Facundo Manuel Quiroga; Franco Ronchetti; Enzo Ferrante (CoRR, 2024)

Study on pose-based deep learning models for gloss-free Sign Language Translation. - Pedro Dal Bianco; Gastón Ríos; Waldo Hasperué; Oscar Stanchi; Facundo Manuel Quiroga; Franco Ronchetti (J. Comput. Sci. Technol., 2024)

ConvAtt Network: A Low Parameter Approach For Sign Language Recognition. - Gaston Gustavo Rios; Pedro Dal Bianco; Franco Ronchetti; Facundo Manuel Quiroga; Santiago Ponte Ahón; Oscar Stanchi; Waldo Hasperué (J. Comput. Sci. Technol., 2024)

VISTA: vision improvement via split and reconstruct deep neural network for fundus image quality assessment. - Saif Khalid; Saddam Abdulwahab; Oscar Agustín Stanchi; Facundo Manuel Quiroga; Franco Ronchetti; Domenec Puig; Hatem A. Rashwan (Neural Comput. Appl., 2024)

Bringing balance to hand shape classification: Mitigating data imbalance through generative models. - Gaston Gustavo Rios; Pedro Dal Bianco; Franco Ronchetti; Facundo Manuel Quiroga; Oscar Stanchi; Santiago Ponte Ahón; Waldo Hasperué (Appl. Soft Comput., 2025)

Towards more efficient initialization methods for Convolutional Neural Networks via K-Means and Principal Components. - Federico Rabinovich; Facundo Manuel Quiroga; Franco Ronchetti (J. Comput. Sci. Technol., 2025)