Artificial Neural Networks and Machine Learning – ICANN 2018
27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II
Editors: Kůrková, V., Manolopoulos, Y., Hammer, B., Iliadis, L., Maglogiannis, I. (Eds.)
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- About this book
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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.
- Table of contents (58 chapters)
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Rank-Revealing Orthogonal Decomposition in Extreme Learning Machine Design
Pages 3-13
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An Improved CAD Framework for Digital Mammogram Classification Using Compound Local Binary Pattern and Chaotic Whale Optimization-Based Kernel Extreme Learning Machine
Pages 14-23
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A Novel Echo State Network Model Using Bayesian Ridge Regression and Independent Component Analysis
Pages 24-34
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A Model for Detection of Angular Velocity of Image Motion Based on the Temporal Tuning of the Drosophila
Pages 37-46
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Local Decimal Pattern for Pollen Image Recognition
Pages 47-55
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Table of contents (58 chapters)
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Bibliographic Information
- Bibliographic Information
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- 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
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- Věra Kůrková
- Yannis Manolopoulos
- Barbara Hammer
- Lazaros Iliadis
- Ilias Maglogiannis
- Series Title
- Theoretical Computer Science and General Issues
- Series Volume
- 11140
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-01421-6
- DOI
- 10.1007/978-3-030-01421-6
- Softcover ISBN
- 978-3-030-01420-9
- Edition Number
- 1
- Number of Pages
- XXVIII, 632
- Number of Illustrations
- 242 b/w illustrations
- Topics
