M
Mario González
Researcher at Universidad de las Américas Puebla
Publications - 60
Citations - 525
Mario González is an academic researcher from Universidad de las Américas Puebla. The author has contributed to research in topics: Artificial neural network & Attractor. The author has an hindex of 11, co-authored 58 publications receiving 380 citations. Previous affiliations of Mario González include Autonomous University of Madrid & University of Los Andes.
Papers
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Journal ArticleDOI
Modeling PM2.5 Urban Pollution Using Machine Learning and Selected Meteorological Parameters
TL;DR: A machine learning approach based on six years of meteorological and pollution data analyses is proposed to predict the concentrations of PM2.5 from wind (speed and direction) and precipitation levels and demonstrates that the use of statistical models based on machine learning is relevant to predict PM 2.5 concentrations from meteorological data.
Journal ArticleDOI
Text Mining of Open-Ended Questions in Self-Assessment of University Teachers: An LDA Topic Modeling Approach
TL;DR: A generic methodology based on topic modeling and text network modeling, that allows researchers to gather valuable information from surveys that use open-ended questions, is evaluated through the use of a case study in which the responses to a teacher self-assessment survey in an Ecuadorian university have been studied.
Book ChapterDOI
ePHoRt Project: A Web-Based Platform for Home Motor Rehabilitation
Yves Rybarczyk,Jan Kleine Deters,Arían Ramón Aladro Gonzalvo,Mario González,Santiago Villarreal,Danilo Esparza +5 more
TL;DR: An experiment evaluates the validity and accuracy of the Kinect motion capture device by a comparison to an accelerometer sensor and shows a significant correlation between both systems, demonstrating that the Kinect is an appropriate tool for the therapeutic purpose of the project.
Book ChapterDOI
Recognition of Physiotherapeutic Exercises Through DTW and Low-Cost Vision-Based Motion Capture
Yves Rybarczyk,Yves Rybarczyk,Jan Kleine Deters,Arián Aladro Gonzalo,Danilo Esparza,Danilo Esparza,Mario González,Santiago Villarreal,Isabel L. Nunes +8 more
TL;DR: The present study is part of the ePHoRt project, which is a web-based platform for the rehabilitation of patients after hip replacement surgery, intended to be based on low-cost technologies, especially in terms of motion capture.
Journal ArticleDOI
Structured information in small-world neural networks.
TL;DR: This work proposes a way to measure the local retrieval using a parameter that is related to the fluctuation of the block overlaps, and predicts that the stability of blocks can be improved by dilution.