BrainNet-Reference-Cited by-同舟云学术

BrainNet

Published:2022-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Chen Junru¹,Yang Yang¹,Yu Tao¹,Fan Yingying¹,Mo Xiaolong²,Yang Carl³

Affiliation:

1. Zhejiang University, Hangzhou, China

2. Neuroechos Medical, Shenzhen, China

3. Emory University, Atlanta, GA, USA

Funder

National Key Research and Development Project of China

the Fundamental Research Funds for the Central Universities

NSFC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539178

Reference40 articles.

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2. Anthony Bagnall , Jason Lines , Aaron Bostrom, James Large, and Eamonn Keogh. 2017 . The great time series classification bake off: A review and experimental evaluation of recent algorithmic advances. Data mining and knowledge discovery 31, 3 (2017), 606--660. Anthony Bagnall, Jason Lines, Aaron Bostrom, James Large, and Eamonn Keogh. 2017. The great time series classification bake off: A review and experimental evaluation of recent algorithmic advances. Data mining and knowledge discovery 31, 3 (2017), 606--660.

3. Defining epileptogenic networks: Contribution of SEEG and signal analysis

4. Nestor Cabello Elham Naghizade Jianzhong Qi and Lars Kulik. 2020. Fast and Accurate Time Series Classification Through Supervised Interval Search. In ICDM. 948--953. Nestor Cabello Elham Naghizade Jianzhong Qi and Lars Kulik. 2020. Fast and Accurate Time Series Classification Through Supervised Interval Search. In ICDM. 948--953.

5. Efficient Epileptic Seizure Prediction Based on Deep Learning

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