Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the International Neural Networks Society
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(FIVE YEARS 48)

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(FIVE YEARS 2)

Published By Springer International Publishing

9783030487904, 9783030487911

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

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