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Automatic classification of infant vocalization sequences with convolutional neural networks
Speech Communication
◽
10.1016/j.specom.2020.03.003
◽
2020
◽
Vol 119
◽
pp. 36-45
◽
Cited By ~ 1
Author(s):
Franz Anders
◽
Mario Hlawitschka
◽
Mirco Fuchs
Keyword(s):
Neural Networks
◽
Convolutional Neural Networks
◽
Automatic Classification
◽
Infant Vocalization
Download Full-text
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Automatic Classification of Requirements Based on Convolutional Neural Networks
2016 IEEE 24th International Requirements Engineering Conference Workshops (REW)
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10.1109/rew.2016.021
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2016
◽
Cited By ~ 26
Author(s):
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◽
Andreas Vogelsang
Keyword(s):
Neural Networks
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Automatic Classification
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Automatic classification of heterogeneous slit-illumination images using an ensemble of cost-sensitive convolutional neural networks
Annals of Translational Medicine
◽
10.21037/atm-20-6635
◽
2021
◽
Vol 9
(7)
◽
pp. 550-550
Author(s):
Jiewei Jiang
◽
Liming Wang
◽
Haoran Fu
◽
Erping Long
◽
Yibin Sun
◽
...
Keyword(s):
Neural Networks
◽
Convolutional Neural Networks
◽
Automatic Classification
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Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics
European Journal of Nuclear Medicine and Molecular Imaging
◽
10.1007/s00259-019-04502-5
◽
2019
◽
Vol 46
(13)
◽
pp. 2800-2811
◽
Cited By ~ 2
Author(s):
Markus Wenzel
◽
Fausto Milletari
◽
Julia Krüger
◽
Catharina Lange
◽
Michael Schenk
◽
...
Keyword(s):
Neural Networks
◽
Dopamine Transporter
◽
Convolutional Neural Networks
◽
Automatic Classification
◽
Deep Convolutional Neural Networks
◽
Image Characteristics
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Automatic Classification of Wheat Rust Diseases Using Deep Convolutional Neural Networks
10.1109/icrito51393.2021.9596133
◽
2021
◽
Author(s):
Vinay Kukreja
◽
Deepak Kumar
Keyword(s):
Neural Networks
◽
Convolutional Neural Networks
◽
Automatic Classification
◽
Deep Convolutional Neural Networks
◽
Rust Diseases
◽
Wheat Rust
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Automatic Classification of Anuran Sounds Using Convolutional Neural Networks
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering - C3S2E '16
◽
10.1145/2948992.2949016
◽
2016
◽
Cited By ~ 9
Author(s):
Juan Colonna
◽
Tanel Peet
◽
Carlos Abreu Ferreira
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Alípio M. Jorge
◽
Elsa Ferreira Gomes
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...
Keyword(s):
Neural Networks
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Convolutional Neural Networks
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Automatic Classification
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Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score
10.1117/12.2255710
◽
2017
◽
Cited By ~ 10
Author(s):
Oscar Jiménez del Toro
◽
Manfredo Atzori
◽
Sebastian Otálora
◽
Mats Andersson
◽
Kristian Eurén
◽
...
Keyword(s):
Neural Networks
◽
Convolutional Neural Networks
◽
Gleason Score
◽
Automatic Classification
◽
Prostate Tissue
◽
High Grade
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Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology
Computerized Medical Imaging and Graphics
◽
10.1016/j.compmedimag.2017.06.001
◽
2017
◽
Vol 61
◽
pp. 2-13
◽
Cited By ~ 91
Author(s):
Harshita Sharma
◽
Norman Zerbe
◽
Iris Klempert
◽
Olaf Hellwich
◽
Peter Hufnagl
Keyword(s):
Neural Networks
◽
Gastric Carcinoma
◽
Convolutional Neural Networks
◽
Automatic Classification
◽
Deep Convolutional Neural Networks
◽
Whole Slide Images
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Automatic classification of hydrocarbon “leads” in seismic images through artificial and convolutional neural networks
Computers & Geosciences
◽
10.1016/j.cageo.2019.07.002
◽
2019
◽
Vol 132
◽
pp. 23-32
◽
Cited By ~ 9
Author(s):
J.F.L. Souza
◽
M.D. Santos
◽
R.M. Magalhães
◽
E.M. Neto
◽
G.P. Oliveira
◽
...
Keyword(s):
Neural Networks
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Convolutional Neural Networks
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Automatic Classification
◽
Seismic Images
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Convolutional Neural Networks for Automatic Classification of Diseased Leaves: The Impact of Dataset Size and Fine-Tuning
Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science
◽
10.1007/978-3-030-58799-4_68
◽
2020
◽
pp. 951-966
Author(s):
Giovanny Caluña
◽
Lorena Guachi-Guachi
◽
Ramiro Brito
Keyword(s):
Neural Networks
◽
Convolutional Neural Networks
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Automatic Classification
◽
Fine Tuning
◽
Dataset Size
◽
The Impact
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A new survey method using convolutional neural networks for automatic classification of bird calls
Ecological Informatics
◽
10.1016/j.ecoinf.2020.101164
◽
2020
◽
pp. 101164
Author(s):
Yuko Maegawa
◽
Yuji Ushigome
◽
Masato Suzuki
◽
Karen Taguchi
◽
Keigo Kobayashi
◽
...
Keyword(s):
Neural Networks
◽
Convolutional Neural Networks
◽
Automatic Classification
◽
Survey Method
◽
Bird Calls
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