Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning

Lucas May Petry; Amilcar Soares; Vania Bogorny; Bruno Brandoli; Stan Matwin

doi:10.1007/978-3-030-47358-7_41

Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning

Lucas May Petry, Amilcar Soares, Vania Bogorny, Bruno Brandoli, Stan Matwin

Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

24 Citations (Scopus)

Original language	English
Title of host publication	Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Proceedings
Editors	Cyril Goutte, Xiaodan Zhu
Publisher	Springer
Pages	401-407
Number of pages	7
ISBN (Print)	9783030473570
DOIs	https://doi.org/10.1007/978-3-030-47358-7_41
Publication status	Published - 2020
Event	33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020 - Ottawa, Canada Duration: May 13 2020 → May 15 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12109 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020
Country/Territory	Canada
City	Ottawa
Period	5/13/20 → 5/15/20

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Anomaly detection
Automatic Identification System
Behavior detection
Spatiotemporal data mining

Access to Document

10.1007/978-3-030-47358-7_41

Cite this

May Petry, L., Soares, A., Bogorny, V., Brandoli, B., & Matwin, S. (2020). Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. In C. Goutte, & X. Zhu (Eds.), Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Proceedings (pp. 401-407). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12109 LNAI). Springer. https://doi.org/10.1007/978-3-030-47358-7_41

Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. / May Petry, Lucas; Soares, Amilcar; Bogorny, Vania et al.
Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Proceedings. ed. / Cyril Goutte; Xiaodan Zhu. Springer, 2020. p. 401-407 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12109 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

May Petry, L, Soares, A, Bogorny, V, Brandoli, B & Matwin, S 2020, Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. in C Goutte & X Zhu (eds), Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12109 LNAI, Springer, pp. 401-407, 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, Canada, 5/13/20. https://doi.org/10.1007/978-3-030-47358-7_41

May Petry L, Soares A, Bogorny V, Brandoli B, Matwin S. Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. In Goutte C, Zhu X, editors, Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Proceedings. Springer. 2020. p. 401-407. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-47358-7_41

May Petry, Lucas ; Soares, Amilcar ; Bogorny, Vania et al. / Challenges in Vessel Behavior and Anomaly Detection : From Classical Machine Learning to Deep Learning. Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Proceedings. editor / Cyril Goutte ; Xiaodan Zhu. Springer, 2020. pp. 401-407 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning

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Keywords

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