Christian Mejia-Escobar

@uce.edu.ec

Full Professor of Software and Statistics
Central University of Ecuador

EDUCATION

I received the BS degree in Computer and Information Systems Engineering from the National Polytechnic University (EPN), Quito, Ecuador, in 1999, a MSc degree in Computer Science, from the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV), Mexico D.F., Mexico, in 2007, and a PhD degree in Computer Science from the University of Alicante, Spain, in 2023. Since 2013, he joined as a professor at the
Central University of Ecuador, Quito, Ecuador, being in 2016 appointed as a full-time professor in the areas of Software and Statistics.

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Science, Computer Graphics and Computer-Aided Design

Scholar Citations

Scholar h-index

RECENT SCHOLAR PUBLICATIONS

Descripcin automtica de secciones delgadas de rocas: una aplicacin Web
CMEVC Stalyn Paucar
10.48550/arXiv.2402.15039, 21 2024

Improving landslide prediction by computer vision and deep learning
B Guerrero-Rodriguez, J Garcia-Rodriguez, J Salvador, C Mejia-Escobar, ...
Integrated Computer-Aided Engineering 31 (1), 77-94 2024

Towards a better performance in facial expression recognition: a data-centric approach
C Mejia-Escobar, M Cazorla, E Martinez-Martin
Computational Intelligence and Neuroscience 2023 2023

A Large Visual, Qualitative, and Quantitative Dataset for Web Intelligence Applications
C Mejia-Escobar, M Cazorla, E Martinez-Martin
Computational Intelligence and Neuroscience 2023 2023

Volcanic ash delimitation using Artificial Intelligence based on Pix2Pix
C Carrillo, G Torres, C Mejia-Escobar
arXiv preprint arXiv:2307.12970 2023

Improving Landslides Prediction: Meteorological Data Preprocessing Based on Supervised and Unsupervised Learning
B Guerrero-Rodriguez, J Salvador-Meneses, J Garcia-Rodriguez, ...
Cybernetics and Systems, 1-25 2023

Improving Facial Expression Recognition through Data Preparation & Merging
C Mejia-Escobar, M Cazorla, E Martinez-Martin
IEEE Access 2023

Delimitacin de Ceniza Volcnica Mediante Inteligencia Artificial Basada en Pix2Pix
C Carrillo, G Torres, C Meja-Escobar
arXiv preprint arXiv:2307.12970 2023

Artificial image dataset of categorical emotions (generated with Stable Diffusion)
EMM Christian Mejia-Escobar, Miguel Cazorla
https://www.kaggle.com/datasets/mejiaescobarchris/fer-stable-diffusion-dataset 2023

Estimacin de reas de cultivo mediante Deep Learning y programacin convencional
J Caicedo, P Acosta, R Pozo, H Guilcapi, C Mejia-Escobar
arXiv preprint arXiv 2207 2022

Delimitacin automtica de ceniza volcnica en imgenes satelitales mediante Deep Learning
RJ Alds Nez, KV Tuz Chamorro, JA Vega Ocaa, MS Velasco Haro, ...
FIGEMPA: Investigacin y Desarrollo 13 (1), 48-58 2022

Defining High Risk Landslide Areas Using Machine Learning
J Salvador, C Mejia-Escobar, M Bonifaz, O Gallardo
Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence 2022

Defining High Risk Landslide Areas Using Machine Learning
B Guerrero-Rodriguez, J Garcia-Rodriguez, J Salvador, C Mejia-Escobar, ...
International Work-Conference on the Interplay Between Natural and 2022

Landslide prediction with machine learning and time windows
B Guerrero-Rodriguez, J Garcia-Rodriguez, J Salvador, C Mejia-Escobar, ...
International Work-Conference on the Interplay Between Natural and 2022

Generacin de mapas digitales en 2 y 3D como herramientas imprescindibles para el trabajo geolgico y minero (Caso de estudio: India)
CE Saltos Garca, VD Daz Quishpe, BA Reyes Analuisa, ...
2022

Reconocimiento y descripcin automtica de rocas sedimentarias mediante Inteligencia Artificial
BE Menendez Benalcazar, RA Ormasa Gutierrez, JL Peafiel Salcedo, ...
2022

Webpage Categorization Using Deep Learning
C Mejia-Escobar, M Cazorla, E Martinez-Martin
16th International Conference on Soft Computing Models in Industrial and 2022

Delimitacin automtica de ceniza volcnica en imgenes satelitales mediante Deep Learning. Figempa [online]. 2022, vol. 13, n. 1
RJ Alds Nez
ISSN 2022

Delimitacin automtica de ceniza volcnica en imgenes satelitales mediante Deep Learning Automatic delimitation of volcanic ash in satellite images using Deep Learning
RJ Alds Nez, KV Tuz Chamorro, JA Vega Ocaa, MS Velasco Haro, ...
2022

16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)
HS Gonzlez, IP Lpez, PG Bringas, H Quintin, E Corchado
Springer Nature 2021

MOST CITED SCHOLAR PUBLICATIONS

Java-based framework for implementing soft real-time distributed applications
J Rodrguez, D Decouchant, S Mendoza, CM Escobar
2008 Mexican International Conference on Computer Science, 163-168 2008
Citations: 5

Towards a better performance in facial expression recognition: a data-centric approach
C Mejia-Escobar, M Cazorla, E Martinez-Martin
Computational Intelligence and Neuroscience 2023 2023
Citations: 3

Herramienta autoconfigurable para el desarrollo de aplicaciones distribuidas de tiempo real flexibles y dinmicas
CIM Escobar
Centro de Investigacin y Estudios Avanzados del IPN, Mxico 2007
Citations: 2

Estimacin de reas de cultivo mediante Deep Learning y programacin convencional
J Caicedo, P Acosta, R Pozo, H Guilcapi, C Mejia-Escobar
arXiv preprint arXiv 2207 2022
Citations: 1

16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)
HS Gonzlez, IP Lpez, PG Bringas, H Quintin, E Corchado
Springer Nature 2021
Citations: 1

A large visual, qualitative and quantitative dataset of web pages
C Mejia-Escobar, M Cazorla, E Martinez-Martin
arXiv preprint arXiv:2105.07113 2021
Citations: 1

Estimacin del Riesgo de Deslizamientos Mediante Algoritmos de Aprendizaje Automtico (Va Calacal-Nanegalito)
D Bustos, S Estrada, G Soria, C Mejia-Escobar

Citations: 1