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Proceedings of the 22nd Engineering ...

EANN (Conference) (2021 :)

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Proceedings of the 22nd Engineering Applications of Neural Networks Conference = EANN 2021 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of the 22nd Engineering Applications of Neural Networks Conference/ edited by Lazaros Iliadis ... [et al.].
其他題名:	EANN 2021 /
其他題名:	EANN 2021
其他作者:	Iliadis, Lazaros.
團體作者:	EANN (Conference)
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xliii, 521 p. :ill., digital ;24 cm.
內容註:	Automatic Facial Expression Neutralisation Using Generative Adversarial Network -- Creating Ensembles of Generative Adversarial Network Discriminators for One-class Classification -- A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection -- Anomaly Detection by Robust Feature Reconstruction -- Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia -- Deep learning topology-preserving EEG-based images for autism detection in infants -- Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors -- Liver cancer trait detection and classification through Machine Learning on smart mobile devices.
Contained By:	Springer Nature eBook
標題:	Neural networks (Computer science) - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-80568-5
ISBN:	9783030805685

Proceedings of the 22nd Engineering Applications of Neural Networks Conference = EANN 2021 /
Proceedings of the 22nd Engineering Applications of Neural Networks ConferenceEANN 2021 /[electronic resource] :EANN 2021edited by Lazaros Iliadis ... [et al.]. - Cham :Springer International Publishing :2021. - xliii, 521 p. :ill., digital ;24 cm. - Proceedings of the international neural networks society,v.32661-8141 ;. - Proceedings of the international neural networks society ;v.3..

Automatic Facial Expression Neutralisation Using Generative Adversarial Network -- Creating Ensembles of Generative Adversarial Network Discriminators for One-class Classification -- A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection -- Anomaly Detection by Robust Feature Reconstruction -- Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia -- Deep learning topology-preserving EEG-based images for autism detection in infants -- Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors -- Liver cancer trait detection and classification through Machine Learning on smart mobile devices.

This book contains the proceedings of the 22nd EANN "Engineering Applications of Neural Networks" 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the following algorithms-approaches: Augmented ML, autoencoders, adversarial neural networks, blockchain-adaptive methods, convolutional neural networks, deep learning, ensemble methods, learning-federated learning, neural networks, recurrent - long short-term memory. The application domains are related to: Anomaly detection, bio-medical AI, cyber-security, data fusion, e-learning, emotion recognition, environment, hyperspectral imaging, fraud detection, image analysis, inverse kinematics, machine vision, natural language, recommendation systems, robotics, sentiment analysis, simulation, stock market prediction.

ISBN: 9783030805685

Standard No.: 10.1007/978-3-030-80568-5doiSubjects--Topical Terms:

582186
Neural networks (Computer science)
--Congresses.

LC Class. No.: QA76.87 / .E36 2021

Dewey Class. No.: 006.32

Proceedings of the 22nd Engineering Applications of Neural Networks Conference = EANN 2021 /
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