Lourdes Martínez-Villaseñor

Orcid: 0000-0002-9038-7821

According to our database1, Lourdes Martínez-Villaseñor authored at least 59 papers between 2010 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Explainable artificial hydrocarbon networks classifier applied to preeclampsia.
Inf. Sci., 2024

2023
Explaining Factors of Student Attrition at Higher Education.
Computación y Sistemas (CyS), 2023

Insole Design and Optimization Processes for Gait Analysis.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Multimodal Gait Analysis Acquisition System: Challenges and Lessons Learned.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
Modeling and simulation for designing a line walking chameleon-like legged robot.
Simul. Model. Pract. Theory, 2022

An Explainable Tool to Support Age-related Macular Degeneration Diagnosis.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Editorial.
Int. J. Distributed Sens. Networks, 2021

Design of a Soft Gripper Using Genetic Algorithms.
Computación y Sistemas, 2021

2020
Distributed evolutionary learning control for mobile robot navigation based on virtual and physical agents.
Simul. Model. Pract. Theory, 2020

A non-contact heart rate estimation method using video magnification and neural networks.
IEEE Instrum. Meas. Mag., 2020

A 2020 perspective on "A novel methodology for optimizing display advertising campaigns using genetic algorithms".
Electron. Commer. Res. Appl., 2020

A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions.
CoRR, 2020

Sensor Location Analysis and Minimal Deployment for Fall Detection System.
IEEE Access, 2020

A Survey on Freezing of Gait Detection and Prediction in Parkinson's Disease.
Proceedings of the Advances in Soft Computing, 2020

Comparative Analysis of Artificial Hydrocarbon Networks versus Convolutional Neural Networks in Human Activity Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Online Testing in Machine Learning Approach for Fall Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
UP-Fall Detection Dataset: A Multimodal Approach.
Sensors, 2019

Fuzzy aggregation of similarity values for electronic health record interoperability.
J. Intell. Fuzzy Syst., 2019

A concise review on sensor signal acquisition and transformation applied to human activity recognition and human-robot interaction.
Int. J. Distributed Sens. Networks, 2019

A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset.
Comput. Biol. Medicine, 2019

A Method to Improve Speed of Training Algorithm in Artificial Hydrocarbon Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Deep Learning for Multimodal Fall Detection.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Towards Constant Calculation in Disjunctive Inequalities Using Wound Treatment Optimization.
Proceedings of the Advances in Soft Computing, 2019

Modeling and Control Balance Design for a New Bio-inspired Four-Legged Robot.
Proceedings of the Advances in Soft Computing, 2019

Analysis of Contextual Sensors for Fall Detection.
Proceedings of the 14th IEEE International Symposium on Autonomous Decentralized System, 2019

An Intelligent Human Fall Detection System Using a Vision-Based Strategy.
Proceedings of the 14th IEEE International Symposium on Autonomous Decentralized System, 2019

2018
A novel methodology for optimizing display advertising campaigns using genetic algorithms.
Electron. Commer. Res. Appl., 2018

Advances in applied computational intelligence: MICAI 2016.
Computing, 2018

Analysis of Constraint-Handling in Metaheuristic Approaches for the Generation and Transmission Expansion Planning Problem with Renewable Energy.
Complex., 2018

Multimodal Database for Human Activity Recognition and Fall Detection.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

A Genetic Algorithm to Solve Power System Expansion Planning with Renewable Energy.
Proceedings of the Advances in Soft Computing, 2018

A Reinforcement Learning Method for Continuous Domains Using Artificial Hydrocarbon Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Machine Learning Approach for Pre-Eclampsia Risk Factors Association.
Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good, 2018

2017
Special issue on Mexican International Conference on Artificial Intelligence, MICAI 2014 and 2015.
Soft Comput., 2017

Fuzzy-Based Approach of Concept Alignment.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

Versatility of Artificial Hydrocarbon Networks for Supervised Learning.
Proceedings of the Advances in Soft Computing, 2017

Human Activity Recognition on Mobile Devices Using Artificial Hydrocarbon Networks.
Proceedings of the Advances in Soft Computing, 2017

A Survey of Machine Learning Approaches for Age Related Macular Degeneration Diagnosis and Prediction.
Proceedings of the Advances in Soft Computing, 2017

Interpretability of artificial hydrocarbon networks for breast cancer classification.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks.
Sensors, 2016

A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks.
Sensors, 2016

Interoperability in Electronic Health Records Through the Mediation of Ubiquitous User Model.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

Machine Learning Method to Establish the Connection Between Age Related Macular Degeneration and Some Genetic Variations.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

Feature Selection Methods Evaluation for CTR Estimation.
Proceedings of the Fifteenth Mexican International Conference on Artificial Intelligence, 2016

2015
Methodology for the Model for Failure Prediction in a Digital Signal Distribution.
Res. Comput. Sci., 2015

Comparative Analysis of Artificial Hydrocarbon Networks and Data-Driven Approaches for Human Activity Recognition.
Proceedings of the Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information, 2015

Artificial Hydrocarbon Networks for Online Sales Prediction.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015

Mass Segmentation in Digital Mammograms.
Proceedings of the Ambient Intelligence for Health - First International Conference, 2015

2014
Ad Exchange Optimization Algorithms on Advertising Networks.
Res. Comput. Sci., 2014

Enriquecimiento del perfil del estudiante mediante la interoperabilidad de modelos de usuario ubicuos.
Computación y Sistemas, 2014

Sharing and Reusing Context Information in Ubiquitous Computing Environments.
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014

2013
An Enhanced Process of Concept Alignment for Dealing with Overweight and Obesity.
J. Univers. Comput. Sci., 2013

Consumption of Profile Information from Heterogeneous Sources to Leverage Human-Computer Interaction.
Proceedings of the Human Computer Interaction - 6th Latin American Conference, 2013

2012
Towards a Ubiquitous User Model for Profile Sharing and Reuse.
Sensors, 2012

Process of Concept Alignment for Interoperability between Heterogeneous Sources.
Proceedings of the Advances in Artificial Intelligence, 2012

Towards Ubiquitous User Modeling Interoperability for Dealing with Overweight and Obesity.
Proceedings of the Ambient Assisted Living and Home Care - 4th International Workshop, 2012

Towards an Ontology for Ubiquitous User Modeling Interoperability.
Proceedings of the KEOD 2012 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development, Barcelona, Spain, 4, 2012

2010
An Ontology Driven Multi-agent System for Client Assignment in a Bank Queue.
Proceedings of the KEOD 2010, 2010


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