Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks Society
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Published By Springer International Publishing

9783030487904, 9783030487911

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Leveraging Radar Features to Improve Point Clouds Segmentation with Neural Networks

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks Society ◽

10.1007/978-3-030-48791-1_8 ◽

2020 ◽

pp. 119-131

Author(s):

Alessandro Cennamo ◽

Florian Kaestner ◽

Anton Kummert

Keyword(s):

Neural Networks ◽

Point Clouds

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Visual Movement Prediction for Stable Grasp Point Detection

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks Society ◽

10.1007/978-3-030-48791-1_5 ◽

2020 ◽

pp. 70-81

Author(s):

Constanze Schwan ◽

Wolfram Schenck

Keyword(s):

Visual Movement ◽

Movement Prediction ◽

Point Detection

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A Monetary Policy Strategy Based on Genetic Algorithms and Neural Networks

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks Society ◽

10.1007/978-3-030-48791-1_48 ◽

2020 ◽

pp. 605-616

Author(s):

Talitha F. Speranza ◽

Ricardo Tanscheit ◽

Marley M. B. R. Vellasco

Keyword(s):

Neural Networks ◽

Monetary Policy ◽

Genetic Algorithms ◽

Policy Strategy

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A Comparative Study on Bayesian Optimization

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks Society ◽

10.1007/978-3-030-48791-1_46 ◽

2020 ◽

pp. 581-592

Author(s):

Lam Gia Thuan ◽

Doina Logofatu

Keyword(s):

Comparative Study ◽

Bayesian Optimization

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Computational Complexity of Kabsch and Quaternion Based Algorithms for Molecular Superimposition in Computational Chemistry

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks Society ◽

10.1007/978-3-030-48791-1_37 ◽

2020 ◽

pp. 473-486

Author(s):

Rafael Dolezal ◽

Katerina Fronckova ◽

Ayca Kirimtat ◽

Ondrej Krejcar

Keyword(s):

Computational Complexity ◽

Computational Chemistry

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Medical Knowledge-Based Deep Learning Framework for Disease Prediction on Unstructured Radiology Free-Text Reports Under Low Data Condition

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks Society ◽

10.1007/978-3-030-48791-1_27 ◽

2020 ◽

pp. 352-364

Author(s):

Shashank Shetty ◽

V. S. Ananthanarayana ◽

Ajit Mahale

Keyword(s):

Deep Learning ◽

Medical Knowledge ◽

Free Text ◽

Disease Prediction ◽

Learning Framework ◽

Knowledge Based

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Drug2vec: A Drug Embedding Method with Drug-Drug Interaction as the Context

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks Society ◽

10.1007/978-3-030-48791-1_25 ◽

2020 ◽

pp. 326-337

Author(s):

Pengfei Liu ◽

Xubin Zheng ◽

Man-Hon Wong ◽

Kwong-Sak Leung

Keyword(s):

Drug Interaction ◽

Embedding Method ◽

Drug Drug Interaction

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Automated Screening of Patients for Dietician Referral

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks Society ◽

10.1007/978-3-030-48791-1_24 ◽

2020 ◽

pp. 319-325

Author(s):

Kamran Soomro ◽

Elias Pimenidis

Keyword(s):

Automated Screening

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Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks Society ◽

10.1007/978-3-030-48791-1_22 ◽

2020 ◽

pp. 292-303 ◽

Cited By ~ 1

Author(s):

Theofanis Kalampokas ◽

Konstantinos Tziridis ◽

Alexandros Nikolaou ◽

Eleni Vrochidou ◽

George A. Papakostas ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Semantic Segmentation

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Deep Learning-Based Computer Vision Application with Multiple Built-In Data Science-Oriented Capabilities

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks Society ◽

10.1007/978-3-030-48791-1_4 ◽

2020 ◽

pp. 47-69

Author(s):

Sorin Liviu Jurj ◽

Flavius Opritoiu ◽

Mircea Vladutiu

Keyword(s):

Computer Vision ◽

Deep Learning ◽

Data Science ◽

Vision Application

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Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks SocietyLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Leveraging Radar Features to Improve Point Clouds Segmentation with Neural Networks

Visual Movement Prediction for Stable Grasp Point Detection

A Monetary Policy Strategy Based on Genetic Algorithms and Neural Networks

A Comparative Study on Bayesian Optimization

Computational Complexity of Kabsch and Quaternion Based Algorithms for Molecular Superimposition in Computational Chemistry

Medical Knowledge-Based Deep Learning Framework for Disease Prediction on Unstructured Radiology Free-Text Reports Under Low Data Condition

Drug2vec: A Drug Embedding Method with Drug-Drug Interaction as the Context

Automated Screening of Patients for Dietician Referral

Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks

Deep Learning-Based Computer Vision Application with Multiple Built-In Data Science-Oriented Capabilities

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks Society
Latest Publications