Work

Outlier Detection on Vehicle Trajectories in Santiago, Chile using Unsupervised Deep Learning

Year: 2019

Type: conference-paper

Source: Proceedings/Proceedings - International Conference of the Chilean Computer Science Society

DOI: 10.1109/sccc49216.2019.8966426

Authors: Richard Soria, Luis Caro, Billy Peralta

Institutions: Universidad Andrés Bello, Universidad Católica de Temuco

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W3000825345

FWCI:

Cites: 11

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Related to: 10