Víctor Uc-Cetina

According to our database, Víctor Uc-Cetina authored at least 27 papers between 2006 and 2024.

Collaborative distances:

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

2024

Threads of Complexity: Lessons learnt from Predicting Student Failure through Discussion Forums' Social-Temporal Dynamics.

Nidia Guadalupe López Flores, Víctor Uc-Cetina, Anna Sigridur Islind, María Óskarsdóttir

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

Fully-convolutional neural networks ensemble for comet segmentation in single cell gel electrophoresis assay images.

Daniel Ruz-Suarez, Anabel Martín-González, Carlos Brito-Loeza, Víctor Uc-Cetina

Comput. methods Biomech. Biomed. Eng. Imaging Vis., September, 2023

Survey on reinforcement learning for language processing.

Víctor Uc-Cetina, Nicolás Navarro-Guerrero, Anabel Martín-González, Cornelius Weber, Stefan Wermter

Artif. Intell. Rev., February, 2023

Aligning a medium-size GPT model in English to a small closed domain in Spanish.

Oscar Navarrate-Parra, Víctor Uc-Cetina, Jorge Reyes-Magaña

Proces. del Leng. Natural, 2023

Aligning a medium-size GPT model in English to a small closed domain in Spanish using reinforcement learning.

Oscar R. Navarrete-Parra, Víctor Uc-Cetina, Jorge Reyes-Magaña

CoRR, 2023

Recent Advances in Software Effort Estimation using Machine Learning.

Víctor Uc-Cetina

CoRR, 2023

Robot path planning using deep reinforcement learning.

Miguel Quinones-Ramirez, Jorge Ríos-Martínez, Víctor Uc-Cetina

CoRR, 2023

A Review on Generative Adversarial Networks for Data Augmentation in Person Re-Identification Systems.

Víctor Uc Cetina, Laura Alvarez-Gonzalez, Anabel Martín-González

CoRR, 2023

2021

Fixing Errors of the Google Voice Recognizer through Phonetic Distance Metrics.

Diego Campos-Sobrino, Mario Campos Soberanis, Iván Martínez Chin, Víctor Uc-Cetina

CoRR, 2021

2020

Prediction of Natural Product Classes Using Machine Learning and 13C NMR Spectroscopic Data.

Saúl H. Martínez-Treviño, Víctor Uc-Cetina, María A. Fernández-Herrera, Gabriel Merino

J. Chem. Inf. Model., 2020

2019

Corrección de errores del reconocedor de voz de Google usando métricas de distancia fonética.

Diego Campos-Sobrino, Mario Campos Soberanis, Iván Martínez Chin, Víctor Uc Cetina

Res. Comput. Sci., 2019

2018

Enfoque para la clasificación de vegetación polinífera usando imágenes multiespectrales y redes neuronales.

Juan Jose Negron-Granados, Ricardo Legarda-Sáenz, Víctor Uc-Cetina

Res. Comput. Sci., 2018

2017

QoS-Based Web Services Selection Using a Hidden Markov Model.

Daniel G. Cantón-Puerto, Francisco Moo-Mena, Víctor Uc-Cetina

J. Comput., 2017

2015

Chagas Parasite Detection in Blood Images Using AdaBoost.

Víctor Uc-Cetina, Carlos Brito-Loeza, Hugo Ruiz-Piña

Comput. Math. Methods Medicine, 2015

2014

Glove-based sign language recognition solution to assist communication for deaf users.

Jose Emiliano Lopez-Noriega, Miguel Ivan Fernandez-Valladares, Víctor Uc-Cetina

Proceedings of the 11th International Conference on Electrical Engineering, 2014

Towards an automatic counter of lunar craters.

Jesús Cabrera Gonzalez, Anabel Martín-González, Jorge Lugo-Jiménez, Víctor Uc-Cetina

Proceedings of the 11th International Conference on Electrical Engineering, 2014

2013

Use of Classification Algorithms for Semantic Web Services Discovery.

Martha Varguez-Moo, Francisco Moo-Mena, Víctor Uc-Cetina

J. Comput., 2013

An automatic algorithm for the detection of Trypanosoma cruzi parasites in blood sample images.

Roger Soberanis-Mukul, Víctor Uc-Cetina, Carlos Brito-Loeza, Hugo Ruiz-Piña

Comput. Methods Programs Biomed., 2013

A Novel Reinforcement Learning Architecture for Continuous State and Action Spaces.

Víctor Uc-Cetina

Adv. Artif. Intell., 2013

2012

Dynamic web services selection using a hidden Markov model.

Francisco Moo-Mena, Víctor Uc-Cetina, Daniel G. Cantón-Puerto

Proceedings of the 9th International Conference on Electrical Engineering, 2012

2011

Mobile Robot Self-Localization Based on Omnidirectional Vision and Gaussian Models.

Diego Campos-Sobrino, Francisco Coral-Sabido, Martha Varguez-Moo, Víctor Uc-Cetina, Arturo Espinosa-Romero

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

Parallel Training of a Back-Propagation Neural Network Using CUDA.

Xavier Sierra-Canto, Francisco Alejandro Madera-Ramírez, Víctor Uc Cetina

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Reinforcement learning in continuous state and action spaces.

Víctor Uc-Cetina

PhD thesis, 2009

2008

Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning.

Víctor Uc Cetina

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Autonomous agent learning using an actor-critic algorithm and behavior models.

Víctor Uc Cetina

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007

Supervised reinforcement learning using behavior models.

Víctor Uc Cetina

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

2006

A multiagent architecture for concurrent reinforcement learning.

Víctor Uc Cetina

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006