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

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

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

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

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