A multiagent architecture for concurrent reinforcement learning. - Víctor Uc Cetina (ESANN, 2006)

Supervised reinforcement learning using behavior models. - Víctor Uc Cetina (ICMLA, 2007)

Autonomous agent learning using an actor-critic algorithm and behavior models. - Víctor Uc Cetina (AAMAS (3), 2008)

Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning. - Víctor Uc Cetina (ESANN, 2008)

Reinforcement learning in continuous state and action spaces. - Víctor Uc-Cetina (2009)

Parallel Training of a Back-Propagation Neural Network Using CUDA. - Xavier Sierra-Canto; Francisco Alejandro Madera-Ramírez; Víctor Uc Cetina (ICMLA, 2010)

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 (ICMLA (1), 2011)

Dynamic web services selection using a hidden Markov model. - Francisco Moo-Mena; Víctor Uc-Cetina; Daniel G. Cantón-Puerto (CCE, 2012)

A Novel Reinforcement Learning Architecture for Continuous State and Action Spaces. - Víctor Uc-Cetina (Adv. Artif. Intell., 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)

Use of Classification Algorithms for Semantic Web Services Discovery. - Martha Varguez-Moo; Francisco Moo-Mena; Víctor Uc-Cetina (J. Comput., 2013)

Towards an automatic counter of lunar craters. - Jesús Cabrera Gonzalez; Anabel Martín-González; Jorge Lugo-Jiménez; Víctor Uc-Cetina (CCE, 2014)

Glove-based sign language recognition solution to assist communication for deaf users. - Jose Emiliano Lopez-Noriega; Miguel Ivan Fernandez-Valladares; Víctor Uc-Cetina (CCE, 2014)

Chagas Parasite Detection in Blood Images Using AdaBoost. - Víctor Uc-Cetina; Carlos Brito-Loeza; Hugo Ruiz-Piña (Comput. Math. Methods Medicine, 2015)

QoS-Based Web Services Selection Using a Hidden Markov Model. - Daniel G. Cantón-Puerto; Francisco Moo-Mena; Víctor Uc-Cetina (J. Comput., 2017)

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)

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)

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)

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)

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)

Robot path planning using deep reinforcement learning. - Miguel Quinones-Ramirez; Jorge Ríos-Martínez; Víctor Uc-Cetina (CoRR, 2023)

Recent Advances in Software Effort Estimation using Machine Learning. - Víctor Uc-Cetina (CoRR, 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)

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)

Survey on reinforcement learning for language processing. - Víctor Uc-Cetina; Nicolás Navarro-Guerrero; Anabel Martín-González; Cornelius Weber; Stefan Wermter (Artif. Intell. Rev., 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., 2023)

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 (EDM, 2024)

Insights from a Socio-Temporal Approach to Student Failure Prediction through Discussion Forum Dynamics. - Nidia Guadalupe López Flores; Víctor Uc-Cetina; Anna Sigridur Islind; María Óskarsdóttir (FIE, 2024)