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Transforming Malware Behavioural Dataset for Deep Denoising Autoencoders
IOP Conference Series Materials Science and Engineering
◽
10.1088/1757-899x/769/1/012071
◽
2020
◽
Vol 769
◽
pp. 012071
Author(s):
Mohd Razif Bin Shamsuddin
◽
Fakariah Hani Hj Mohd Ali
◽
Mohd Shahril Bin Zainol Abidin
Keyword(s):
Deep Denoising Autoencoders
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A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection
Expert Systems with Applications
◽
10.1016/j.eswa.2021.116366
◽
2021
◽
pp. 116366
Author(s):
Michele Scarpiniti
◽
Sima Sarv Ahrabi
◽
Enzo Baccarelli
◽
Lorenzo Piazzo
◽
Alireza Momenzadeh
Keyword(s):
Disease Detection
◽
Unsupervised Approach
◽
Deep Denoising Autoencoders
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Improving Automatic Speech Recognition Containing Additive Noise Using Deep Denoising Autoencoders of LSTM Networks
Speech and Computer - Lecture Notes in Computer Science
◽
10.1007/978-3-319-43958-7_42
◽
2016
◽
pp. 354-361
◽
Cited By ~ 8
Author(s):
Marvin Coto-Jiménez
◽
John Goddard-Close
◽
Fabiola Martínez-Licona
Keyword(s):
Speech Recognition
◽
Automatic Speech Recognition
◽
Additive Noise
◽
Deep Denoising Autoencoders
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Robust feature extraction and uncertainty estimation based on attractor dynamics in cyclic deep denoising autoencoders
Neural Computing and Applications
◽
10.1007/s00521-018-3623-x
◽
2018
◽
Vol 31
(11)
◽
pp. 7989-8002
◽
Cited By ~ 2
Author(s):
Amir Hossein Hadjahmadi
◽
Mohammad Mehdi Homayounpour
Keyword(s):
Feature Extraction
◽
Uncertainty Estimation
◽
Attractor Dynamics
◽
Robust Feature Extraction
◽
Deep Denoising Autoencoders
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Perception Optimized Deep Denoising AutoEncoders for Speech Enhancement
10.21437/interspeech.2016-1284
◽
2016
◽
Cited By ~ 15
Author(s):
Prashanth Gurunath Shivakumar
◽
Panayiotis Georgiou
Keyword(s):
Speech Enhancement
◽
Deep Denoising Autoencoders
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