Martinez-Villaseñor, Lourdes
Thumbnail Image
Preferred name
Martinez-Villaseñor, Lourdes
Official Name
Martínez Villaseñor, María de Lourdes
Alternative Name
lmartine
Main Affiliation
ORCID
Scopus Author ID
55521085100
Researcher ID
N-7607-2018

Research Output

Filters

81
Reset filters

Settings
Now showing 1 - 10 of 81
No Thumbnail Available
Publication

Advances in soft computing : 18th Mexican International Conference on Artificial Intelligence, MICAI 2019, Xalapa, Mexico, October 27 - November 2, 2019, Proceedings : Preface

2019 , Martinez-Villaseñor, Lourdes

The Mexican International Conference on Artificial Intelligence (MICAI) is a yearly international conference series that has been organized by the Mexican Society of Artificial Intelligence (SMIA) since 2000. MICAI is a major international artificial intelligence (AI) forum and the main event in the academic life of the country’s growing AI community. The proceedings of MICAI 2019 contains 59 papers structured into four sections: Machine Learning, Fuzzy Systems, Reasoning, and Intelligent Applications, Computer Vision and Robotics, Optimization and Planning This book should be of interest to researchers in all fields of AI, students specializing in related topics, and for the public in general interested in recent developments in AI. ©Springer Nature Switzerland AG 2019.

View
No Thumbnail Available
Publication

Special issue on Mexican International Conference on Artificial Intelligence, MICAI 2014 and 2015

2017 , Ponce, Hiram , González-Mendoza, Miguel , Martinez-Villaseñor, Lourdes

This special issue of the journal Soft Computing offers extended versions of some of the best-awarded, high-reviewed and invited papers presented on the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla Gutiérrez, Chiapas, Mexico, on November 16–22, 2014, under the organization of the Mexican Society for Artificial Intelligence (SMIA) in cooperation with the Instituto Tecnológico de Tuxtla Gutiérrez and Universidad Autónoma de Chiapas, and on the 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca, Morelos, Mexico, on October 25–31, 2015, under the organization of the SMIA in cooperation with the Instituto de Investigaciones Eléctricas. ©2017 Soft Computing, Springer Verlag.

View
No Thumbnail Available
Publication

Process of Concept Alignment for Interoperability between Heterogeneous Sources

2013 , Martinez-Villaseñor, Lourdes , González-Mendoza, Miguel

Some researchers in the community of user modeling envision the need to share and reuse information scattered over different user models of heterogeneous sources. In a multi-application environment each application and service must repeat the effort of building a user model to obtain just a narrow understanding of the user. Sharing and reusing information between models can prevent the user from repeated configurations, help deal with application and services’ “cold start” problem, and provide enrichment to user models to obtain a better understanding of the user. But gathering distributed user information from heterogeneous sources to achieve user models interoperability implies handling syntactic and semantic heterogeneity. In this paper, we present a process of concept alignment to automatically determine semantic mapping relations that enable the interoperability between heterogeneous profile suppliers and consumers, given the mediation of a central ubiquitous user model. We show that the process of concept alignment for interoperability based in a two-tier matching strategy can allow the interoperability between social networking applications, FOAF, Personal Health Records (PHR) and personal devices.

View
No Thumbnail Available
Publication

A Survey of Machine Learning Approaches for Age Related Macular Degeneration Diagnosis and Prediction

2018 , Martínez Velasco, Antonieta Teodora , Martinez-Villaseñor, Lourdes

Age Related Macular Degeneration (AMD) is a complex disease caused by the interaction of multiple genes and environmental factors. AMD is the leading cause of visual dysfunction and blindness in developed countries, and a rising cause in underdeveloped countries. Currently, retinal images are studied in order to identify drusen in the retina. The classification of these images allows to support the medical diagnosis. Likewise, genetic variants and risk factors are studied in order to make predictive studies of the disease, which are carried out with the support of statistical tools and, recently, with Machine Learning (ML) methods. In this paper, we present a survey of studies performed in complex diseases under both approaches, especially for the case of AMD. We emphasize the approach based on the genetic variants of individuals, as it is a support tool for the prevention of AMD. According to the vision of personalized medicine, disease prevention is a priority to improve the quality of life of people and their families, as well as to avoid the inherent health burden. © Springer Nature Switzerland AG 2018.

View
No Thumbnail Available
Publication

Preface

2024-01-01 , Martinez-Villaseñor, Lourdes

View
No Thumbnail Available
Publication

Orientación a padres para aprender a utilizar Internet como medio educativo

2006 , Martinez-Villaseñor, Lourdes , Villalobos Torres, Elvia Marveya

Si se pretende hacer un buen uso de la Internet logrando que este medio sirva realmente al perfeccionamiento de las personas y por ende al mejoramiento de las familias y de la sociedad, es preciso reflexionar en torno a los nuevos retos educativos que este medio conlleva. Con respecto a las bondades de Internet se debe aprender cómo identificar información valiosa en un espacio en donde el exceso de fuentes, no todas confiables, puede llevar a la desinformación o pérdida de tiempo y esfuerzo en búsquedas inútiles. Por otro lado, es imperioso diseñar estrategias personalizadas para combatir las influencias negativas de la red y minimizar los riesgos sobre todo en los cibernautas más jóvenes permitiéndoles usar Internet asegurando su integridad física, mental y moral. Algunos padres y educadores tienen una sensación de aislamiento con respecto a las actividades que realizan los niños, adolescentes y jóvenes en la red dada la brecha digital que va creciendo entre los "enchufados" y los "desenchufados". Esta ignorancia del mundo digital en el que sus hijos y alumnos viven, virtualmente hablando, y la comunidad global con la que conviven, acarrea problemas para la familia que si no se atienden pueden terminar deteriorando las relaciones familiares, acabando con la comunicación en la familia y tirando literalmente por la "borda digital" toda la labor educativa de años. Con la finalidad de enfrentar los retos de la era de la digitalización se debe estudiar primeramente Internet para identificar las oportunidades y amenazas de este medio revolucionario con respecto a la familia

View
No Thumbnail Available
Publication

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

2018 , Martinez-Villaseñor, Lourdes , Ponce, Hiram , Ramírez, Juan Manuel , Marmolejo Saucedo, José Antonio , Hernández, Agustina

A multiperiod generation and transmission expansion planning (G&TEP) problem is considered. This model integrates conventional generation with renewable energy sources, assuming a stochastic approach. The proposed approach is based on a centralized planned transmission expansion. Due to the worldwide recent energy guidelines, it is necessary to generate expansion plans adequate to the forecast demand over the next years. Nowadays, in most energy systems, a public entity develops both the short and long of electricity-grid expansion planning. Due to the complexity of the problem, there are different strategies to find expansion plans that satisfy the uncertainty conditions addressed. We proposed to address the G&TEP problem with a pure genetic algorithm approach. Different constraint-handling techniques were applied to deal with two complex case studies presented. Numerical results are shown to compare the strategies used in the test systems, and key factors such as a prior initialization of population and the estimated minimum number of generations are discussed. ©2018, Wiley/Hindawi.

View
No Thumbnail Available
Publication

An ontology driven multi-agent system for client assignment in a bank queue

2010 , Martinez-Villaseñor, Lourdes , González-Marrón, David , González-Mendoza, Miguel , Hernández Gress, Neil

This paper presents an ontology driven multi-agent system that uses a negotiation process for decision support in a Bak Queue. The system assists queue client assignment based on the client profile and the cashiers’ workload in order to guarantee a minimum time response in client attention.

View
No Thumbnail Available
Publication

Distributed evolutionary learning control for mobile robot navigation based on virtual and physical agents

2020 , Ponce, Hiram , Moya-Albor, Ernesto , Martinez-Villaseñor, Lourdes , Brieva, Jorge

This paper presents a distributed evolutionary learning control based on social wound treatment for mobile robot navigation using an integrated multi-robot system comprised of simulated and physical robots. To do so, this work proposes an extension of the population-based metaheuristic wound treatment optimization (WTO) method into a distributed scheme. In addition, this distributed WTO method is implemented on the multi-robot system allowing them to experience the environment in their own and communicate their findings, resulting in an emergence intelligence. We implemented our proposal using the combination of five simulated robots with one physical robot for tuning a navigation controller to move freely in a workspace. Results showed that the solution found by this multi-robot system aims using the output controller in the physical robot for successfully achieving the goal to move the robot around a U-maze, without applying any transfer learning approach. We consider this proposal useful in evolutionary robotics, and of great importance to decrease the gap related to transfer knowledge in robotics from simulation to reality. © 2019 Elsevier B.V.

View
No Thumbnail Available
Publication

Editorial : International Journal of Distributed Sensor Networks

2021 , Ponce, Hiram , Martinez-Villaseñor, Lourdes , O’Hare, Gregory , Ayala-Solares, José Roberto

The importance of sensor networks and the integration of signal processing have increased as a consequence of the growth of complex Internet-of-Things (IoT), distributed and wireless network applications, for commercial, medical, context-aware, and industrial domains, among others. The complexity, heterogeneity, and dynamicity of some sensor networks demand new intelligent solutions for data aggregation, integration, and management. Artificial intelligence helps in these sensor network applications to respond to the above-mentioned challenges. In consideration of these issues, this Special Collection offered a platform for researchers to publish recent and original works in different topics, focusing on intelligent systems for sensor networks. Several researchers from different parts of the world submitted their papers. Hence, after a rigorous review process, we accept only seven papers for this collection. An overview of the key contributions of each paper is presented as follows. ©2021 International Journal of Distributed Sensor Networks, SAGE Publications Ltd.

View