Magdalena Saldaña Pérez

Orcid: 0000-0002-2475-1621

According to our database1, Magdalena Saldaña Pérez authored at least 13 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Incremental Development of a Multilayer Neural Network for CAN bus Attack Detection.
Int. J. Comb. Optim. Probl. Informatics, 2026

2025
A Dataset for the Medical Support Vehicle Location-Allocation Problem.
Data, 2025

2024
Medical Support Vehicle Location and Deployment at Mass Casualty Incidents.
Inf., May, 2024

IntelliLeksika at HOMO-MEX 2024: Detection of Homophobic Content in Spanish Lyrics with Machine Learning.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2024) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), 2024

Internet of Vehicles and the Smart City: The Case of the Mexico City.
Proceedings of the Research and Innovation Forum 2024, 2024

2023
Search Space Reduction in Road Networks for the Ambulance Location and Allocation Optimization Problems: A Real Case Study.
Proceedings of the Telematics and Computing - 12th International Congress, 2023

Reinforcing Tourism Post-pandemic Through a Natural Language Processing Data Analysis.
Proceedings of the Research and Innovation Forum 2023 - Navigating Shocks and Crises in Uncertain Times, 2023

2021
Análisis de comentarios de turistas sobre áreas naturales protegidas de México utilizando plataformas Google.
Res. Comput. Sci., 2021

Tecnologías emergentes para la reincorporación de personal a sus actividades durante la pandemia de COVID-19.
Res. Comput. Sci., 2021

2020
An Application of Deep Neural Network for Robbery Evidence Using Face Recognition Approach.
Proceedings of the Research and Innovation Forum 2020, 2020

2019
When Twitter Becomes a Data Source for Geospatial Analysis.
Res. Comput. Sci., 2019

Geospatial Modeling of Road Traffic Using a Semi-Supervised Regression Algorithm.
IEEE Access, 2019

Mexico City Traffic Analysis Based on Social Computing and Machine Learning.
Proceedings of the Research & Innovation Forum 2019, 2019


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