Anomaly Detection via Word Embeddings and Neural Networks-Reference-Cited by-同舟云学术

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Anomaly Detection via Word Embeddings and Neural Networks

Published:2023-07-07 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)
language:
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Author:

Dong Junchao¹,Pan Fang²,Hu Xiaoli³,Wang Wenyan⁴

Affiliation:

1. School of Computer Engineering, Guilin University of Electronic Technology,Beihai,China

2. Teachers college for vocational and technical education, Guangxi Normal University,Guilin,China

3. Guilin University of Electronic Technology,Guangxi Key Laboratory of Trusted Software,Guilin,China

4. School of Computer Sciences, Universiti Sains Malaysia,Gelugor,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10211117/10212989/10213109.pdf?arnumber=10213109

Reference15 articles.

1. Deep learning for event-driven stock prediction;ding;Twenty-fourth international joint conference on artificial intelligence Buenos Aires,0

2. Stock Price Movement Prediction Based on a Deep Factorization Machine and the Attention Mechanism

3. Tobler's First Law in GeoAI: A spatially explicit deep learning model for terrain feature detection under weak supervision;li;Annals of the Association of American Geographers,2021

4. Data-Driven Detection and Classification of Regimes in Chaotic Systems Via Hidden Markov Modeling

5. ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement

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