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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
A Machine Learning Approach to Predict Air Quality in California

Participants in the publication
Mauro Castelli (Author)
Fabiana Martins Clemente (Author)
Aleš Popovi? (Author)
Sara Silva (Author)
Dep. Informática
LASIGE - LASIGE-Computer Science and Engineering Research Centre
Leonardo Vanneschi (Author)

Date of Publication
2020-08-04

Where published
Complexity

Publication Identifiers
ISSN - 1076-2787

Publisher
Hindawi Limited

Volume
2020

Number of pages
22
Starting page
1
Last page
23

Document Identifiers
DOI - https://doi.org/10.1155/2020/8049504
URL - http://dx.doi.org/10.1155/2020/8049504

Rankings
SCIMAGO Q1 (2019) - 0.507 - Multidisciplinary


Export

APA
Mauro Castelli, Fabiana Martins Clemente, Aleš Popovi?, Sara Silva, Leonardo Vanneschi, (2020). A Machine Learning Approach to Predict Air Quality in California. Complexity, 2020, 1-23. ISSN 1076-2787. eISSN . http://dx.doi.org/10.1155/2020/8049504

IEEE
Mauro Castelli, Fabiana Martins Clemente, Aleš Popovi?, Sara Silva, Leonardo Vanneschi, "A Machine Learning Approach to Predict Air Quality in California" in Complexity, vol. 2020, pp. 1-23, 2020. 10.1155/2020/8049504

BIBTEX
@article{49727, author = {Mauro Castelli and Fabiana Martins Clemente and Aleš Popovi? and Sara Silva and Leonardo Vanneschi}, title = {A Machine Learning Approach to Predict Air Quality in California}, journal = {Complexity}, year = 2020, pages = {1-23}, volume = 2020 }