Partition-wise recurrent neural networks for point-based AIS trajectory classification

Xiang Jiang; Erico N. De Souza; Xuan Liu; Behrouz Haji Soleimani; Xiaoguang Wang; Daniel L. Silver; Stan Matwin

Partition-wise recurrent neural networks for point-based AIS trajectory classification

Xiang Jiang, Erico N. De Souza, Xuan Liu, Behrouz Haji Soleimani, Xiaoguang Wang, Daniel L. Silver, Stan Matwin

Engineering

科研成果: 图书/报告稿件的类型 › 会议稿件

源语言	英语
主期刊名	ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
出版商	i6doc.com publication
页	529-534
页数	6
ISBN（电子版）	9782875870391
出版状态	已出版 - 2017
活动	25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2017 - Bruges, 比利时期限: 4月 26 2017 → 4月 28 2017

出版系列

姓名	ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

会议

会议	25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2017
国家/地区	比利时
市	Bruges
时期	4/26/17 → 4/28/17

!!!ASJC Scopus Subject Areas

人工智能
信息系统

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Jiang, X., De Souza, E. N., Liu, X., Soleimani, B. H., Wang, X., Silver, D. L., & Matwin, S. (2017). Partition-wise recurrent neural networks for point-based AIS trajectory classification. 在 ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (页码 529-534). (ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning). i6doc.com publication.

Partition-wise recurrent neural networks for point-based AIS trajectory classification. / Jiang, Xiang; De Souza, Erico N.; Liu, Xuan 等.
ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, 2017. 页码 529-534 (ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

科研成果: 图书/报告稿件的类型 › 会议稿件

Jiang, X, De Souza, EN, Liu, X, Soleimani, BH, Wang, X, Silver, DL & Matwin, S 2017, Partition-wise recurrent neural networks for point-based AIS trajectory classification. 在 ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, i6doc.com publication, 页码 529-534, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2017, Bruges, 比利时, 4/26/17.

Jiang X, De Souza EN, Liu X, Soleimani BH, Wang X, Silver DL 等. Partition-wise recurrent neural networks for point-based AIS trajectory classification. 在 ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication. 2017. 页码 529-534. (ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

Jiang, Xiang ; De Souza, Erico N. ; Liu, Xuan 等. / Partition-wise recurrent neural networks for point-based AIS trajectory classification. ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, 2017. 页码 529-534 (ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

@inproceedings{d2f01c43e98646d9879f69e2ffb1713c,

title = "Partition-wise recurrent neural networks for point-based AIS trajectory classification",

author = "Xiang Jiang and {De Souza}, {Erico N.} and Xuan Liu and Soleimani, {Behrouz Haji} and Xiaoguang Wang and Silver, {Daniel L.} and Stan Matwin",

note = "Funding Information: Acknowledgement. The authors acknowledge the support of the Natural Sciences and Engineering Research Council of Canada for this research. Publisher Copyright: {\textcopyright} ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. All rights reserved.; 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2017 ; Conference date: 26-04-2017 Through 28-04-2017",

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series = "ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning",

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pages = "529--534",

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T1 - Partition-wise recurrent neural networks for point-based AIS trajectory classification

AU - Jiang, Xiang

AU - De Souza, Erico N.

AU - Liu, Xuan

AU - Soleimani, Behrouz Haji

AU - Wang, Xiaoguang

AU - Silver, Daniel L.

AU - Matwin, Stan

N1 - Funding Information: Acknowledgement. The authors acknowledge the support of the Natural Sciences and Engineering Research Council of Canada for this research. Publisher Copyright: © ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. All rights reserved.

PY - 2017

Y1 - 2017

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UR - http://www.scopus.com/inward/citedby.url?scp=85069538374&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85069538374

T3 - ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

SP - 529

EP - 534

BT - ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

PB - i6doc.com publication

T2 - 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2017

Y2 - 26 April 2017 through 28 April 2017

ER -

Partition-wise recurrent neural networks for point-based AIS trajectory classification

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会议

!!!ASJC Scopus Subject Areas

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