3 citations · 5 across the 4 of their papers we have counts for
4 papers
Recent Advances in Software Effort Estimation using Machine Learning
Victor Uc-Cetina
An increasing number of software companies have already realized the importance of storing project-related data as valuable sources of information for training prediction models. S…
Robot path planning using deep reinforcement learning
Miguel Quinones-Ramirez, Jorge Rios-Martinez, Victor Uc-Cetina
Autonomous navigation is challenging for mobile robots, especially in an unknown environment. Commonly, the robot requires multiple sensors to map the environment, locate itself, a…
Aligning a medium-size GPT model in English to a small closed domain in Spanish
Oscar R. Navarrete-Parra, Victor Uc-Cetina, Jorge Reyes-Magana
In this paper, we propose a methodology to align a medium-sized GPT model, originally trained in English for an open domain, to a small closed domain in Spanish. The application fo…
A Review on Generative Adversarial Networks for Data Augmentation in Person Re-Identification Systems
Victor Uc-Cetina, Laura Alvarez-Gonzalez, Anabel Martin-Gonzalez
Interest in automatic people re-identification systems has significantly grown in recent years, mainly for developing surveillance and smart shops software. Due to the variability…