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ORCIDLourdes Martínez-Villaseñor
María de Lourdes Martínez-Villaseñor
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Journal Articles
- 2024
[j24]Hiram Ponce
, Lourdes Martínez-Villaseñor, Antonieta Martínez-Velasco:
Explainable artificial hydrocarbon networks classifier applied to preeclampsia. Inf. Sci. 670: 120556 (2024)- 2023
- [j23]Iara Alcauter, Lourdes Martínez-Villaseñor, Hiram Ponce:
Explaining Factors of Student Attrition at Higher Education. Computación y Sistemas (CyS) 27(4) (2023) - 2022
- [j22]Hiram Ponce, Mario Acevedo, Javier González-Juárez, Lourdes Martínez-Villaseñor, Gabriel Díaz-Ramos, Carlos Mayorga-Acosta:
Modeling and simulation for designing a line walking chameleon-like legged robot. Simul. Model. Pract. Theory 121: 102648 (2022) - 2021
- [j21]Hiram Ponce, Lourdes Martínez-Villaseñor, Carlos Mayorga-Acosta:
Design of a Soft Gripper Using Genetic Algorithms. Computación y Sistemas 25(4) (2021) - [j20]Hiram Ponce, Lourdes Martínez-Villaseñor, Gregory M. P. O'Hare, José Roberto Ayala Solares:
Editorial. Int. J. Distributed Sens. Networks 17(2): 155014772199288 (2021) - 2020
- [j19]Hiram Ponce, Lourdes Martínez-Villaseñor, José Núñez-Martínez:
Sensor Location Analysis and Minimal Deployment for Fall Detection System. IEEE Access 8: 166678-166691 (2020) - [j18]Luis Miralles-Pechuán, Hiram Ponce, Lourdes Martínez-Villaseñor:
A 2020 perspective on "A novel methodology for optimizing display advertising campaigns using genetic algorithms". Electron. Commer. Res. Appl. 40: 100953 (2020) - [j17]Ernesto Moya-Albor, Jorge Brieva, Hiram Ponce, Lourdes Martínez-Villaseñor:
A non-contact heart rate estimation method using video magnification and neural networks. IEEE Instrum. Meas. Mag. 23(4): 56-62 (2020) - [j16]Hiram Ponce, Ernesto Moya-Albor, Lourdes Martínez-Villaseñor, Jorge Brieva:
Distributed evolutionary learning control for mobile robot navigation based on virtual and physical agents. Simul. Model. Pract. Theory 102: 102058 (2020) - 2019
- [j15]Ricardo Abel Espinosa-Loera, Hiram Ponce, Sebastián Gutiérrez, Lourdes Martínez-Villaseñor, Jorge Brieva, Ernesto Moya-Albor:
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 115 (2019) - [j14]María de Lourdes Martínez-Villaseñor, Hiram Ponce:
A concise review on sensor signal acquisition and transformation applied to human activity recognition and human-robot interaction. Int. J. Distributed Sens. Networks 15(6) (2019) - [j13]María de Lourdes Martínez-Villaseñor, Hiram Ponce, Miguel González-Mendoza:
Fuzzy aggregation of similarity values for electronic health record interoperability. J. Intell. Fuzzy Syst. 36(2): 1573-1585 (2019) - [j12]María de Lourdes Martínez-Villaseñor, Hiram Ponce, Jorge Brieva, Ernesto Moya-Albor, José Núñez-Martínez, Carlos Peñafort-Asturiano:
UP-Fall Detection Dataset: A Multimodal Approach. Sensors 19(9): 1988 (2019) - 2018
- [j11]María de Lourdes Martínez-Villaseñor, Hiram Ponce-Espinosa, Jose Antonio Marmolejo Saucedo, Juan Manuel Ramirez, Agustina Hernández:
Analysis of Constraint-Handling in Metaheuristic Approaches for the Generation and Transmission Expansion Planning Problem with Renewable Energy. Complex. 2018: 1438196:1-1438196:22 (2018) - [j10]Hiram Ponce, Miguel González-Mendoza, María de Lourdes Martínez-Villaseñor:
Advances in applied computational intelligence: MICAI 2016. Computing 100(7): 667-669 (2018) - [j9]Luis Miralles Pechuán, Hiram Ponce-Espinosa, María de Lourdes Martínez-Villaseñor:
A novel methodology for optimizing display advertising campaigns using genetic algorithms. Electron. Commer. Res. Appl. 27: 39-51 (2018) - 2017
- [j8]Hiram Ponce-Espinosa, Miguel González-Mendoza, María de Lourdes Martínez-Villaseñor:
Special issue on Mexican International Conference on Artificial Intelligence, MICAI 2014 and 2015. Soft Comput. 21(3): 555-556 (2017) - 2016
- [j7]Hiram Ponce-Espinosa, María de Lourdes Martínez-Villaseñor, Luis Miralles Pechuán:
A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks. Sensors 16(7): 1033 (2016) - [j6]Hiram Ponce-Espinosa, Luis Miralles Pechuán, María de Lourdes Martínez-Villaseñor:
A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks. Sensors 16(11): 1715 (2016) - 2015
- [j5]José Cruz Ramos-Báez, María de Lourdes Martínez-Villaseñor, Dafne A. Rosso-Pelayo:
Methodology for the Model for Failure Prediction in a Digital Signal Distribution. Res. Comput. Sci. 104: 91-101 (2015) - 2014
- [j4]María de Lourdes Martínez-Villaseñor, Miguel González-Mendoza, Ignacio Danvila Del Valle:
Enriquecimiento del perfil del estudiante mediante la interoperabilidad de modelos de usuario ubicuos. Computación y Sistemas 18(2) (2014) - [j3]Luis Miralles Pechuán, Claudia Sánchez Gómez, María de Lourdes Martínez-Villaseñor:
Ad Exchange Optimization Algorithms on Advertising Networks. Res. Comput. Sci. 84: 77-88 (2014) - 2013
- [j2]María de Lourdes Martínez-Villaseñor, Miguel González-Mendoza:
An Enhanced Process of Concept Alignment for Dealing with Overweight and Obesity. J. Univers. Comput. Sci. 19(9): 1315-1333 (2013) - 2012
- [j1]María de Lourdes Martínez-Villaseñor, Miguel González-Mendoza, Neil Hernández-Gress:
Towards a Ubiquitous User Model for Profile Sharing and Reuse. Sensors 12(10): 13249-13283 (2012)
Conference and Workshop Papers
- 2023
- [c34]Karla Michelle Márquez Ruiz, Pilar Pineda Cervantes, Carlos Villa, Lourdes Martínez-Villaseñor, Hiram Ponce, Ari Yair Barrera-Animas:
Multimodal Gait Analysis Acquisition System: Challenges and Lessons Learned. SSCI 2023: 1060-1065 - [c33]Kevin Alejandro Orozco Villanueva, Miguel Richter, Carlos Villa, Lourdes Martínez-Villaseñor, Hiram Ponce, Ari Yair Barrera-Animas:
Insole Design and Optimization Processes for Gait Analysis. SSCI 2023: 1340-1345 - 2022
- [c32]Lourdes Martínez-Villaseñor, Hiram Ponce, Antonieta Martínez-Velasco, Luis Miralles-Pechuán:
An Explainable Tool to Support Age-related Macular Degeneration Diagnosis. IJCNN 2022: 1-8 - 2020
- [c31]Luis Miralles-Pechuán, Fernando Jiménez, Hiram Ponce, Lourdes Martínez-Villaseñor:
A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions. CIKM 2020: 1135-1144 - [c30]Lourdes Martínez-Villaseñor, Hiram Ponce, José Núñez-Martínez, Sofía Pacheco:
Online Testing in Machine Learning Approach for Fall Detection. IJCNN 2020: 1-8 - [c29]Hiram Ponce, Lourdes Martínez-Villaseñor:
Comparative Analysis of Artificial Hydrocarbon Networks versus Convolutional Neural Networks in Human Activity Recognition. IJCNN 2020: 1-7 - [c28]Lourdes Martínez-Villaseñor, Hiram Ponce, Luis Miralles-Pechuán:
A Survey on Freezing of Gait Detection and Prediction in Parkinson's Disease. MICAI (1) 2020: 169-181 - 2019
- [c27]Jorge Brieva, Hiram Ponce, Ernesto Moya-Albor, Lourdes Martínez-Villaseñor:
An Intelligent Human Fall Detection System Using a Vision-Based Strategy. ISADS 2019: 1-5 - [c26]Lourdes Martínez-Villaseñor, Hiram Ponce:
Analysis of Contextual Sensors for Fall Detection. ISADS 2019: 1-5 - [c25]Hiram Ponce, José Antonio Marmolejo-Saucedo, María de Lourdes Martínez-Villaseñor:
Towards Constant Calculation in Disjunctive Inequalities Using Wound Treatment Optimization. MICAI 2019: 305-316 - [c24]Hiram Ponce, Mario Acevedo, Elizabeth Morales-Olvera, Lourdes Martínez-Villaseñor, Gabriel Díaz-Ramos, Carlos Mayorga-Acosta:
Modeling and Control Balance Design for a New Bio-inspired Four-Legged Robot. MICAI 2019: 728-739 - [c23]Paulo Vitor de Campos Souza, Hiram Ponce, Lourdes Martínez-Villaseñor:
A Method to Improve Speed of Training Algorithm in Artificial Hydrocarbon Networks. SMC 2019: 1913-1919 - [c22]Lourdes Martínez-Villaseñor, Hiram Ponce, Karina Perez-Daniel:
Deep Learning for Multimodal Fall Detection. SMC 2019: 3422-3429 - 2018
- [c21]Antonieta Martínez-Velasco, María de Lourdes Martínez-Villaseñor, Luis Miralles-Pechuán:
Machine Learning Approach for Pre-Eclampsia Risk Factors Association. GOODTECHS 2018: 232-237 - [c20]Hiram Ponce, Guillermo Gonzalez-Mora, María de Lourdes Martínez-Villaseñor:
A Reinforcement Learning Method for Continuous Domains Using Artificial Hydrocarbon Networks. IJCNN 2018: 1-6 - [c19]María de Lourdes Martínez-Villaseñor, Hiram Ponce, Jose Antonio Marmolejo Saucedo, Juan Manuel Ramirez, Agustina Hernández:
A Genetic Algorithm to Solve Power System Expansion Planning with Renewable Energy. MICAI (1) 2018: 3-17 - [c18]María de Lourdes Martínez-Villaseñor, Hiram Ponce, Ricardo Abel Espinosa-Loera:
Multimodal Database for Human Activity Recognition and Fall Detection. UCAmI 2018: 1237 - 2017
- [c17]Hiram Ponce-Espinosa, María de Lourdes Martínez-Villaseñor:
Interpretability of artificial hydrocarbon networks for breast cancer classification. IJCNN 2017: 3535-3542 - [c16]Hiram Ponce, María de Lourdes Martínez-Villaseñor:
Versatility of Artificial Hydrocarbon Networks for Supervised Learning. MICAI (1) 2017: 3-16 - [c15]Hiram Ponce, Guillermo González, Luis Miralles-Pechuán, María de Lourdes Martínez-Villaseñor:
Human Activity Recognition on Mobile Devices Using Artificial Hydrocarbon Networks. MICAI (1) 2017: 17-29 - [c14]Antonieta Martínez-Velasco, María de Lourdes Martínez-Villaseñor:
A Survey of Machine Learning Approaches for Age Related Macular Degeneration Diagnosis and Prediction. MICAI (1) 2017: 257-266 - [c13]María de Lourdes Martínez-Villaseñor, Miguel González-Mendoza:
Fuzzy-Based Approach of Concept Alignment. UCAmI 2017: 172-180 - 2016
- [c12]Luis Miralles Pechuán, Hiram Ponce, María de Lourdes Martínez-Villaseñor:
Feature Selection Methods Evaluation for CTR Estimation. MICAI (Special Session) 2016: 57-62 - [c11]Antonieta Martínez-Velasco, Juan Carlos Zenteno, María de Lourdes Martínez-Villaseñor, Luis Miralles Pechuán, Andric Pérez-Ortiz, Francisco Javier Estrada-Mena:
Machine Learning Method to Establish the Connection Between Age Related Macular Degeneration and Some Genetic Variations. UCAmI (2) 2016: 28-39 - [c10]María de Lourdes Martínez-Villaseñor, Luis Miralles Pechuán, Miguel González-Mendoza:
Interoperability in Electronic Health Records Through the Mediation of Ubiquitous User Model. UCAmI (1) 2016: 191-200 - 2015
- [c9]María Victoria Carreras-Cruz, María de Lourdes Martínez-Villaseñor, Kevin Nataniel Rosas-Pérez:
Mass Segmentation in Digital Mammograms. AmIHEALTH 2015: 110-115 - [c8]Hiram Ponce-Espinosa, Luis Miralles Pechuán, María de Lourdes Martínez-Villaseñor:
Artificial Hydrocarbon Networks for Online Sales Prediction. MICAI (2) 2015: 498-508 - [c7]Hiram Ponce-Espinosa, María de Lourdes Martínez-Villaseñor, Luis Miralles Pechuán:
Comparative Analysis of Artificial Hydrocarbon Networks and Data-Driven Approaches for Human Activity Recognition. UCAmI 2015: 150-161 - 2014
- [c6]María de Lourdes Martínez-Villaseñor, Miguel González-Mendoza:
Sharing and Reusing Context Information in Ubiquitous Computing Environments. MICAI (Special Sessions) 2014: 227-230 - 2013
- [c5]María de Lourdes Martínez-Villaseñor, Miguel González-Mendoza:
Consumption of Profile Information from Heterogeneous Sources to Leverage Human-Computer Interaction. CLIHC 2013: 1-4 - 2012
- [c4]María de Lourdes Martínez-Villaseñor, Miguel González-Mendoza:
Towards an Ontology for Ubiquitous User Modeling Interoperability. KEOD 2012: 239-244 - [c3]María de Lourdes Martínez-Villaseñor, Miguel González-Mendoza:
Towards Ubiquitous User Modeling Interoperability for Dealing with Overweight and Obesity. IWAAL 2012: 320-328 - [c2]María de Lourdes Martínez-Villaseñor, Miguel González-Mendoza:
Process of Concept Alignment for Interoperability between Heterogeneous Sources. MICAI (1) 2012: 311-320 - 2010
- [c1]María de Lourdes Martínez-Villaseñor, David González-Marrón, Miguel González-Mendoza, Neil Hernández-Gress:
An Ontology Driven Multi-agent System for Client Assignment in a Bank Queue. KEOD 2010: 241-250
Editorship
- 2025
- [e12]Lourdes Martínez-Villaseñor, Gilberto Ochoa-Ruiz:
Advances in Computational Intelligence - 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15246, Springer 2025, ISBN 978-3-031-75539-2 [contents] - [e11]Lourdes Martínez-Villaseñor, Gilberto Ochoa-Ruiz:
Advances in Soft Computing - 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15247, Springer 2025, ISBN 978-3-031-75542-2 [contents] - [e10]Lourdes Martínez-Villaseñor, Gilberto Ochoa-Ruiz, Martín Montes Rivera, María Lucía Barrón-Estrada, Héctor-Gabriel Acosta-Mesa:
Advances in Computational Intelligence. MICAI 2024 International Workshops - HIS 2024, WILE 2024, and CIAPP 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15464, Springer 2025, ISBN 978-3-031-83878-1 [contents] - [e9]Lourdes Martínez-Villaseñor, Gilberto Ochoa-Ruiz, Martín Montes Rivera, María Lucía Barrón-Estrada, Héctor-Gabriel Acosta-Mesa:
Advances in Computational Intelligence. MICAI 2024 International Workshops - HIS 2024, WILE 2024, and CIAPP 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15465, Springer 2025, ISBN 978-3-031-83881-1 [contents] - 2024
- [e8]Hiram Calvo, Lourdes Martínez-Villaseñor, Hiram E. Ponce:
Advances in Computational Intelligence - 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, Yucatán, Mexico, November 13-18, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14391, Springer 2024, ISBN 978-3-031-47764-5 [contents] - [e7]Hiram Calvo, Lourdes Martínez-Villaseñor, Hiram E. Ponce:
Advances in Soft Computing - 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, Yucatán, Mexico, November 13-18, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14392, Springer 2024, ISBN 978-3-031-47639-6 [contents] - [e6]Hiram Calvo, Lourdes Martínez-Villaseñor, Hiram Ponce, Ramón Zataraín-Cabada, Martín Montes Rivera, Efrén Mezura-Montes:
Advances in Computational Intelligence. MICAI 2023 International Workshops - WILE 2023, HIS 2023, and CIAPP 2023, Yucatán, Mexico, November 13-18, 2023, Proceedings. Lecture Notes in Computer Science 14502, Springer 2024, ISBN 978-3-031-51939-0 [contents] - 2020
- [e5]Lourdes Martínez-Villaseñor, Oscar Herrera-Alcántara, Hiram E. Ponce, Félix Castro-Espinoza:
Advances in Soft Computing - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Mexico City, Mexico, October 12-17, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12468, Springer 2020, ISBN 978-3-030-60883-5 [contents] - [e4]Lourdes Martínez-Villaseñor, Oscar Herrera-Alcántara, Hiram E. Ponce, Félix Castro-Espinoza:
Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Mexico City, Mexico, October 12-17, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12469, Springer 2020, ISBN 978-3-030-60886-6 [contents] - 2019
- [e3]Lourdes Martínez-Villaseñor, Ildar Z. Batyrshin, Antonio Marín-Hernández:
Advances in Soft Computing - 18th Mexican International Conference on Artificial Intelligence, MICAI 2019, Xalapa, Mexico, October 27 - November 2, 2019, Proceedings. Lecture Notes in Computer Science 11835, Springer 2019, ISBN 978-3-030-33748-3 [contents] - 2018
- [e2]Ildar Z. Batyrshin, María de Lourdes Martínez-Villaseñor, Hiram Eredín Ponce Espinosa:
Advances in Soft Computing - 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22-27, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11288, Springer 2018, ISBN 978-3-030-04490-9 [contents] - [e1]Ildar Z. Batyrshin, María de Lourdes Martínez-Villaseñor, Hiram Eredín Ponce Espinosa:
Advances in Computational Intelligence - 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22-27, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11289, Springer 2018, ISBN 978-3-030-04496-1 [contents]
Informal and Other Publications
- 2020
- [i1]Luis Miralles-Pechuán, Fernando Jiménez, Hiram Ponce, Lourdes Martínez-Villaseñor:
A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions. CoRR abs/2005.07656 (2020)
Coauthor Index
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