Deep Neural Networks for Biomedical Data and Imaging: CFP for special issue/section

2021 ◽  
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Biomedical Data ◽  
Special Issue ◽  
Issue Section

scholarly journals Innovative Topologies and Algorithms for Neural Networks

2020 ◽  
Vol 12 (7) ◽  
pp. 117
Author(s):  
Salvatore Graziani ◽  
Maria Gabriella Xibilia
Keyword(s):  
Neural Networks ◽  
Network Architecture ◽  
Deep Neural Networks ◽  
State Of The Art ◽  
Text Processing ◽  
Successful Outcome ◽  
Training Algorithm ◽  
Special Issue ◽  
And Training ◽  
Selection Of

The introduction of new topologies and training procedures to deep neural networks has solicited a renewed interest in the field of neural computation. The use of deep structures has significantly improved the state of the art in many applications, such as computer vision, speech and text processing, medical applications, and IoT (Internet of Things). The probability of a successful outcome from a neural network is linked to selection of an appropriate network architecture and training algorithm. Accordingly, much of the recent research on neural networks is devoted to the study and proposal of novel architectures, including solutions tailored to specific problems. The papers of this Special Issue make significant contributions to the above-mentioned fields by merging theoretical aspects and relevant applications. Twelve papers are collected in the issue, addressing many relevant aspects of the topic.

Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

2018 ◽  
Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Data Augmentation

Representation of adversarial images in deep neural networks and the human brain

2018 ◽  
Author(s):  
Chi Zhang ◽  
Xiaohan Duan ◽  
Ruyuan Zhang ◽  
Li Tong
Keyword(s):  
Neural Networks ◽  
Human Brain ◽  
Deep Neural Networks
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