Proceedings of the 22nd Engineering Applications of Neural Networks Conference : EANN 2021 / Lazaros Iliadis, John Macintyre, Chrisina Jayne, Elias Pimenidis, editors.
EANN (Conference) (22nd : 2021 : Crete, Greece); Iliadis, Lazaros S., editor.; MacIntyre, J. D. (John D.), editor.; Jayne, Chrisina, editor.; Pimenidis, Elias, editor.
2021
QA76.87 .E36 2021
Available Online

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Title Proceedings of the 22nd Engineering Applications of Neural Networks Conference : EANN 2021 / Lazaros Iliadis, John Macintyre, Chrisina Jayne, Elias Pimenidis, editors.
Meeting Name EANN (Conference) (22nd : 2021 : Crete, Greece)
ISBN 9783030805685 (electronic bk.)
3030805689 (electronic bk.)
3030805670
9783030805678
DOI https://doi.org/10.1007/978-3-030-80568-5
Published Cham, Switzerland : Springer, [2021]
Language English
Description 1 online resource : illustrations (chiefly color)
Other Standard Identifiers 10.1007/978-3-030-80568-5 doi
Call Number QA76.87 .E36 2021
Dewey Decimal Classification 006.3/2
Summary 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
Note International conference proceedings.
Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from digital title page (viewed on July 16, 2021).
Added Author Iliadis, Lazaros S., editor.
MacIntyre, J. D. (John D.), editor.
Jayne, Chrisina, editor.
Pimenidis, Elias, editor.
Series Proceedings of the International Neural Networks Society ; volume 3.
Available in Other Form Proceedings of the 22nd Engineering Applications of Neural Networks Conference.
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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.

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