Ana Maria Magdalena Saldana-Perez

Ana Maria Magdalena Saldana-PerezPhD student at the Centro de Investigación en Computación (CIC), from the Instituto Politécnico Nacional (IPN) at Mexico City. Member of the Geospatial Information Processing Laboratory at CIC. Interested on urban computing, social network analysis, VGI sources, geospatial data processing, geo-visualization, machine-learning and topics related to programming and computing research. Web and mobile developer. Now I am analyzing and modeling the urban dynamics using VGI data, machine-learning algorithms and geospatial information systems.

Publications

Classification of Traffic Events in Mexico City Using Machine Learning and Volunteered Geographic Information
Magdalena Saldana-Perez, Miguel Torres-Ruiz, Marco Moreno-Ibarra. © 2022. 21 pages.
Volunteer geographic information and user-generated content represents a source of updated information about what people perceive from their environment. Its analysis generates...
Classification of Traffic Events in Mexico City Using Machine Learning and Volunteered Geographic Information
Magdalena Saldana-Perez, Miguel Torres-Ruiz, Marco Moreno-Ibarra. © 2019. 22 pages.
Volunteer geographic information and user-generated content represents a source of updated information about what people perceive from their environment. Its analysis generates...
Classification of Traffic Events Notified in Social Networks' Texts
Ana Maria Magdalena Saldana-Perez, Marco Antonio Moreno-Ibarra, Miguel Jesus Torres-Ruiz. © 2019. 14 pages.
It is interesting to exploit the user-generated content (UGC) and to use it with a view to infer new data; volunteered geographic information (VGI) is a concept derived from UGC...
Traffic Analysis Based on Short Texts From Social Media
Ana Maria Magdalena Saldana-Perez, Marco Moreno-Ibarra. © 2019. 19 pages.
Social networks provide information about activities of humans and social events. Thus, with the help of social networks, we can extract the traffic events that occur in a city....
Classification of Traffic Events Notified in Social Networks' Texts
Ana Maria Magdalena Saldana-Perez, Marco Antonio Moreno-Ibarra, Miguel Jesus Torres-Ruiz. © 2018. 12 pages.
It is interesting to exploit the user generated content (UGC), and to use it with a view to infer new data; volunteered geographic information (VGI) is a concept derived from...
Traffic Analysis Based on Short Texts from Social Media
Ana Maria Magdalena Saldana-Perez, Marco Moreno-Ibarra. © 2016. 17 pages.
Social networks provide information about activities of humans and social events. Thus, with the help of social networks, we can extract the traffic events that occur in a city....