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Artificial Neural Networks and Machine Learning – ICANN 2018
other
Editor(s):
Věra Kůrková
,
Yannis Manolopoulos
,
Barbara Hammer
,
Lazaros Iliadis
,
Ilias Maglogiannis
Publication date
(Print):
2018
Publisher:
Springer International Publishing
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Annual Reviews AI, Machine Learning, and Society
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Book
ISBN (Print):
978-3-030-01423-0
ISBN (Electronic):
978-3-030-01424-7
Publication date (Print):
2018
DOI:
10.1007/978-3-030-01424-7
SO-VID:
1250610e-1ed2-4dcb-ad72-d19e51ce1214
License:
http://www.springer.com/tdm
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Book chapters
pp. 94
Implementing Neural Turing Machines
pp. 353
fNIRS-Based Brain–Computer Interface Using Deep Neural Networks for Classifying the Mental State of Drivers
pp. 189
Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures
pp. 270
A Survey on Deep Transfer Learning
pp. 310
Deep 3D Pose Dictionary: 3D Human Pose Estimation from Single RGB Image Using Deep Convolutional Neural Network
pp. 594
Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks
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