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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Using Machine Learning for Dependable Outlier Detection in Environmental Monitoring Systems

Participants in the publication
Gonçalo Jesus (Author)
António Casimiro (Author)
Dep. Informática
LASIGE
Anabela Oliveira (Author)

Date of Publication
2021-07-31

Where published
ACM Transactions on Cyber-Physical Systems

Publication Identifiers
ISSN - 2378-962X

Publisher
Association for Computing Machinery (ACM)

Volume
5
Number
3

Number of pages
30
Starting page
1
Last page
30

Document Identifiers
DOI - https://doi.org/10.1145/3445812
URL - http://dx.doi.org/10.1145/3445812

Rankings
Google Metrics (2021) - 19
SCIMAGO Q2 (2021) - 0.542 - Artificial Intelligence


Export

APA
Gonçalo Jesus, António Casimiro, Anabela Oliveira, (2021). Using Machine Learning for Dependable Outlier Detection in Environmental Monitoring Systems. ACM Transactions on Cyber-Physical Systems, 5, 1-30. ISSN 2378-962X. eISSN . http://dx.doi.org/10.1145/3445812

IEEE
Gonçalo Jesus, António Casimiro, Anabela Oliveira, "Using Machine Learning for Dependable Outlier Detection in Environmental Monitoring Systems" in ACM Transactions on Cyber-Physical Systems, vol. 5, pp. 1-30, 2021. 10.1145/3445812

BIBTEX
@article{52940, author = {Gonçalo Jesus and António Casimiro and Anabela Oliveira}, title = {Using Machine Learning for Dependable Outlier Detection in Environmental Monitoring Systems}, journal = {ACM Transactions on Cyber-Physical Systems}, year = 2021, pages = {1-30}, volume = 5 }