Applying Features Based on Word Embedding Techniques to 1D CNN for Natural Disaster Messages Classification-Reference-Cited by-同舟云学术

Applying Features Based on Word Embedding Techniques to 1D CNN for Natural Disaster Messages Classification

Published:2022-09-13 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference of Computer and Informatics Engineering (IC2IE)
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Author:

Faisal Mohammad Reza¹,Budiman Irwan¹,Abadi Friska¹,Nugrahadi Dodon Turianto¹,Haekal Muhammad¹,Sutedja Indrajani²

Affiliation:

1. Lambung Mangkurat University,Department of Computer Science,Banjarbaru,Indonesia

2. Bina Nusantara University,Information Systems Department,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9969903/9970007/09970188.pdf?arnumber=9970188

Reference24 articles.

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2. Implementation Information Gain Feature Selection for Hoax News Detection on Twitter using Convolutional Neural Network (CNN);farid;Indonesian Journal of Computing,2020

3. Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

4. Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

5. 2D MRI image analysis and brain tumor detection using deep learning CNN model LeU-Net

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