Yasmín Hernández

Orcid: 0000-0002-8842-0899

According to our database1, Yasmín Hernández authored at least 57 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Configuración de hiperparámetros mediante algoritmos de optimización: Aplicación en la predicción de enfermedades cardiovasculares.
Res. Comput. Sci., 2023

Gathering, Integration and Preprocessing of Data in Educational Data Mining: Towards a Study of Self-efficacy in Learning.
Res. Comput. Sci., 2023

A predictive model for stress recognition in desk jobs.
J. Ambient Intell. Humaniz. Comput., 2023

School Dropout Prediction with Class Balancing and Hyperparameter Configuration.
Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023

A New Approach for Counting and Identification of Students Sentiments in Online Virtual Environments Using Convolutional Neural Networks.
Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023

Class Balancing in a Cardiovascular Disease Domain.
Proceedings of the Mexican International Conference on Computer Science, 2023

2022
Servicio para consumir datos de transporte público en tiempo real utilizando la plataforma FIWARE.
Res. Comput. Sci., 2022

Generation of Twitter Information Databases: A Case Study for the Mobility of People Infected with COVID-19.
Res. Comput. Sci., 2022

Uso de técnicas de Web Scraping para obtención automática de bases de datos en la Web.
Res. Comput. Sci., 2022

A Brief Review of Educational Data Mining to Improve Intelligent Learning Environments.
Res. Comput. Sci., 2022

Hybrid Fuzzy C-Means Clustering Algorithm Oriented to Big Data Realms.
Axioms, 2022

The State of the Art of Data Mining Algorithms for Predicting the COVID-19 Pandemic.
Axioms, 2022

2021
Modeling Self-efficacy and Self-regulated Learning in Gamified Learning Environments Through Educational Data Mining.
Proceedings of the Advances in Soft Computing, 2021

A New Approach for the Automatic Connection of Sensors to an IoT Platform.
Proceedings of the Advances in Soft Computing, 2021

Prediction of Diabetes Mortality in Mexico City Applying Data Science.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

2020
A 3D Learning Environment for Teaching Computational Thinking.
Res. Comput. Sci., 2020

Personalized Summaries Generation: An Approach based on Learning Styles.
Res. Comput. Sci., 2020

2019
Towards Personalized Summaries in Spanish based on Learning Styles Theory.
Res. Comput. Sci., 2019

Opinion mining and emotion recognition in an intelligent learning environment.
Comput. Appl. Eng. Educ., 2019

2018
Predictive Model for Detection of Depression Based on Uncertainty Analysis Methods.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

Model for Personality Detection Based on Text Analysis.
Proceedings of the Advances in Computational Intelligence, 2018

2017
Semantic Annotation of Unstructured Documents Using Concepts Similarity.
Sci. Program., 2017

Text Mining for Domain Structure Analysis in a Training System for Electrical Procedures.
Res. Comput. Sci., 2017

Evaluation of Information Retrieval Algorithms Within an Energy Documents Repository.
Proceedings of the Advances in Computational Intelligence, 2017

Towards a Linguistic Corpus in Spanish with Personality Annotations.
Proceedings of the Advances in Computational Intelligence, 2017

Bag of Errors: Automatic Inference of a Student Model in an Electrical Training System.
Proceedings of the Advances in Computational Intelligence, 2017

2016
Architecture of an Intelligent Training System based on Virtual Environments for Electricity Distribution Substations.
Res. Comput. Sci., 2016

Designing Empathetic Animated Agents for a B-Learning Training Environment within the Electrical Domain.
J. Educ. Technol. Soc., 2016

Data-Driven Construction of a Student Model Using Bayesian Networks in an Electrical Domain.
Proceedings of the Advances in Soft Computing, 2016

Virtual Reality Systems for Training Improvement in Electrical Distribution Substations.
Proceedings of the 16th IEEE International Conference on Advanced Learning Technologies, 2016

Adaptive and Blended Learning for Electrical Operators Training - With Virtual Reality Systems.
Proceedings of the CSEDU 2016, 2016

2015
Multicriteria Decision Making for Evaluation of e-Learning Tools.
Res. Comput. Sci., 2015

A Model of Affect and Learning for Intelligent Tutors.
J. Univers. Comput. Sci., 2015

Open Student Model for Blended Training in the Electrical Tests Domain.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015

Towards a Framework to Detect and Prevent Non-technical Losses in Power Distribution Based on Data-Mining Techniques and Bayesian Networks.
Proceedings of the Fourteenth Mexican International Conference on Artificial Intelligence, 2015

2014
A B-Learning Model for Training within Electrical Tests Domain.
Res. Comput. Sci., 2014

Communities of Practice Supporting Research and Technological Development - A Practical Case at Electrical Sector in Mexico.
Proceedings of the WEBIST 2014, 2014

2013
Virtual Reality and Affective Computing for Improving Learning.
Res. Comput. Sci., 2013

2012
Intelligent Tutoring and Training Tools for the Electric Power Sector Developed at IIE.
Res. Comput. Sci., 2012

Survey on Understanding the Tutorial Actions based on Students' Affect.
Res. Comput. Sci., 2012

Supporting Attitudes Management - A Component of Training and Talent.
Proceedings of the WEBIST 2012 - Proceedings of the 8th International Conference on Web Information Systems and Technologies, Porto, Portugal, 18, 2012

Designing and Implementing Affective and Intelligent Tutoring Systems in a Learning Social Network.
Proceedings of the Advances in Computational Intelligence, 2012

Fermat: Merging Affective Tutoring Systems with Learning Social Networks.
Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, 2012

An Intelligent and Affective Tutoring System within a Social Network for Learning Mathematics.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Towards Personalized Training of Electric Power Generation Operators.
Proceedings of the CSEDU 2012, 2012

Evaluation of e-Learning Tools based on a Multi-criteria Decision Making.
Proceedings of the CSEDU 2012, 2012

2011
Intelligent E-Learning System for Training Power Systems Operators.
Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

Learning Styles Theory for Intelligent Learning Environments - Adapting the Instruction.
Proceedings of the CSEDU 2011, 2011

2010
Evaluating an Affective Student Model for Intelligent Learning Environments.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
Desarrollo e Integración de un Modelo de Comportamiento Afectivo a un Sistema Tutor Inteligente.
Rev. Iberoam. de Tecnol. del Aprendiz., 2009

Incorporating an Affective Behavior Model into an Educational Game.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

2008
Building an Affective Model for Intelligent Tutoring Systems with Base on Teachers' Expertise.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

An Affective Behavior Model for Intelligent Tutors.
Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

Evaluating a Probabilistic Model for Affective Behavior in an Intelligent Tutoring System.
Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies, 2008

2006
Intelligent Environment for Training of Power Systems Operators.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

2005
A Probabilistic Model of Affective Behavior for Intelligent Tutoring Systems.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

Affective Behavior in Intelligent Tutoring Systems for Virtual Laboratories.
Proceedings of the Artificial Intelligence in Education, 2005


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