Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11140)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: ICANN 2018.
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About this book
This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018.
The 139 full and 28 short papers as well as 41 full poster papers and 41 short poster papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.
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Keywords
- artificial intelligence
- classification
- clustering
- computational linguistics
- computer networks
- Human-Computer Interaction (HCI)
- image processing
- image reconstruction
- image segmentation
- learning algorithms
- machine learning
- neural networks
- recurrent neural networks
- reinforcement learning
- robotics
- robots
- semantics
- signal processing
- Support Vector Machines (SVM)
- wireless telecommunication systems
Table of contents (58 papers)
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Front Matter
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ELM/Echo State ANN
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Front Matter
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Image Processing
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Front Matter
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Medical/Bioinformatics
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Front Matter
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Other volumes
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Artificial Neural Networks and Machine Learning – ICANN 2018
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Artificial Neural Networks and Machine Learning – ICANN 2018
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Artificial Neural Networks and Machine Learning – ICANN 2018
Editors and Affiliations
Bibliographic Information
Book Title: Artificial Neural Networks and Machine Learning – ICANN 2018
Book Subtitle: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II
Editors: Věra Kůrková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, Ilias Maglogiannis
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-01421-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-01420-9Published: 26 September 2018
eBook ISBN: 978-3-030-01421-6Published: 25 September 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVIII, 632
Number of Illustrations: 242 b/w illustrations
Topics: Artificial Intelligence, Image Processing and Computer Vision, Computer Systems Organization and Communication Networks, Information Systems and Communication Service, Systems and Data Security, Algorithm Analysis and Problem Complexity