Performance Evaluation of Adversarial Examples on Deep Neural Network Architectures

Intelligent Computing and Networking - Lecture Notes in Networks and Systems ◽

10.1007/978-981-15-7421-4_22 ◽

2020 ◽

pp. 239-251

Author(s):

Aruna Animish Pavate ◽

Rajesh Bansode

Keyword(s):

Neural Network ◽

Performance Evaluation ◽

Deep Neural Network ◽

Network Architectures ◽

Adversarial Examples ◽

Neural Network Architectures

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Deep Neural Network Architectures for Speech Deception Detection: A Brief Survey

10.1007/978-3-030-86230-5_24 ◽

2021 ◽

pp. 301-312

Author(s):

Andrey Lucas Herchonvicz ◽

Rafael de Santiago

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Deception Detection ◽

Network Architectures ◽

Neural Network Architectures

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Analysis of Deep Neural Network Architectures and Similarity Metrics for Low-Dose CT Reconstruction

2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) ◽

10.1109/estream50540.2020.9108883 ◽

2020 ◽

Author(s):

Jonas Brusokas ◽

Linas Petkevicius

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Low Dose ◽

Similarity Metrics ◽

Network Architectures ◽

Ct Reconstruction ◽

Low Dose Ct ◽

Neural Network Architectures

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Modeling Price and Risk in Chinese Financial Derivative Market with Deep Neural Network Architectures

2020 5th International Conference on Computational Intelligence and Applications (ICCIA) ◽

10.1109/iccia49625.2020.00010 ◽

2020 ◽

Author(s):

Chenyu Wang ◽

Zhongchen Miao ◽

Yuefeng Lin ◽

Hang Jiang ◽

Jian Gao ◽

...

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Network Architectures ◽

Financial Derivative ◽

Neural Network Architectures ◽

Derivative Market

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Layer-Wise Relevance Propagation for Deep Neural Network Architectures

Lecture Notes in Electrical Engineering - Information Science and Applications (ICISA) 2016 ◽

10.1007/978-981-10-0557-2_87 ◽

2016 ◽

pp. 913-922 ◽

Cited By ~ 18

Author(s):

Alexander Binder ◽

Sebastian Bach ◽

Gregoire Montavon ◽

Klaus-Robert Müller ◽

Wojciech Samek

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Network Architectures ◽

Neural Network Architectures

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Performance Evaluation of 14 Neural Network Architectures Used for Predicting Heat Transfer Characteristics of Engine Oils

International Journal for Computational Methods in Engineering Science and Mechanics ◽

10.1080/15502287.2011.636789 ◽

2012 ◽

Vol 13 (1) ◽

pp. 60-75 ◽

Cited By ~ 3

Author(s):

R. M. Al-Ajmi ◽

H. Z. Abou-Ziyan ◽

M. A. Mahmoud

Keyword(s):

Neural Network ◽

Heat Transfer ◽

Performance Evaluation ◽

Network Architectures ◽

Heat Transfer Characteristics ◽

Engine Oils ◽

Transfer Characteristics ◽

Neural Network Architectures

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Comparison of deep neural network architectures for fault detection in Tennessee Eastman process

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) ◽

10.1109/etfa.2017.8247619 ◽

2017 ◽

Cited By ~ 7

Author(s):

Gavneet Singh Chadha ◽

Andreas Schwung

Keyword(s):

Neural Network ◽

Fault Detection ◽

Deep Neural Network ◽

Network Architectures ◽

Tennessee Eastman Process ◽

Neural Network Architectures

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Machine Learning and Deep Neural Network Architectures for 3D Motion Capture Datasets

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) ◽

10.1109/embc44109.2020.9176426 ◽

2020 ◽

Author(s):

Alistair Boyle ◽

Gwyneth B. Ross ◽

Ryan B. Graham

Keyword(s):

Neural Network ◽

Machine Learning ◽

Motion Capture ◽

Deep Neural Network ◽

Network Architectures ◽

3D Motion ◽

Neural Network Architectures ◽

3D Motion Capture

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Deep neural network architectures for forecasting analgesic response

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2016.7591352 ◽

2016 ◽

Cited By ~ 7

Author(s):

Paul Nickerson ◽

Patrick Tighe ◽

Benjamin Shickel ◽

Parisa Rashidi

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Network Architectures ◽

Neural Network Architectures ◽

Analgesic Response

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Deep Reinforcement Learning in Serious Games: Analysis and Design of Deep Neural Network Architectures

Computer Aided Systems Theory – EUROCAST 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-74727-9_37 ◽

2018 ◽

pp. 314-321 ◽

Cited By ~ 1

Author(s):

Aline Dobrovsky ◽

Cezary W. Wilczak ◽

Paul Hahn ◽

Marko Hofmann ◽

Uwe M. Borghoff

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Serious Games ◽

Deep Neural Network ◽

Network Architectures ◽

Analysis And Design ◽

Neural Network Architectures

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AnytimeNet: Controlling Time-Quality Tradeoffs in Deep Neural Network Architectures

2020 Design, Automation & Test in Europe Conference & Exhibition (DATE) ◽

10.23919/date48585.2020.9116280 ◽

2020 ◽

Author(s):

Jung-Eun Kim ◽

Richard Bradford ◽

Zhong Shao

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Network Architectures ◽

Neural Network Architectures

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