Application of Deep Learning in Recurrence Plots for Multivariate Nonlinear Time Series Forecasting

Author(s):  
Sun Arthur A. Ojeda ◽  
Elmer C. Peramo ◽  
Geoffrey A. Solano
2020 ◽  
Author(s):  
Pathikkumar Patel ◽  
Bhargav Lad ◽  
Jinan Fiaidhi

During the last few years, RNN models have been extensively used and they have proven to be better for sequence and text data. RNNs have achieved state-of-the-art performance levels in several applications such as text classification, sequence to sequence modelling and time series forecasting. In this article we will review different Machine Learning and Deep Learning based approaches for text data and look at the results obtained from these methods. This work also explores the use of transfer learning in NLP and how it affects the performance of models on a specific application of sentiment analysis.


Author(s):  
Mohammed Atef ◽  
Ahmed Khattab ◽  
Essam A. Agamy ◽  
Mohamed M. Khairy

Author(s):  
Imran Qureshi ◽  
Burhanuddin Mohammad ◽  
Mohammed Abdul Habeeb ◽  
Mohammed Ali Shaik

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 59311-59320 ◽  
Author(s):  
Mohsen Dorraki ◽  
Anahita Fouladzadeh ◽  
Stephen J. Salamon ◽  
Andrew Allison ◽  
Brendon J. Coventry ◽  
...  

Big Data ◽  
2020 ◽  
Author(s):  
José F. Torres ◽  
Dalil Hadjout ◽  
Abderrazak Sebaa ◽  
Francisco Martínez-Álvarez ◽  
Alicia Troncoso

2017 ◽  
Vol 201 ◽  
pp. 412-418 ◽  
Author(s):  
Igor M. Coelho ◽  
Vitor N. Coelho ◽  
Eduardo J. da S. Luz ◽  
Luiz S. Ochi ◽  
Frederico G. Guimarães ◽  
...  

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