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Artificial Neural Networks and Machine Learning – ICANN 2018 Volume 11140 (27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II) by Kůrková, Věra; Manolopoulos, Yannis; Hammer, Barbara; Iliadis, Lazaros; Maglogiannis, Ilias is a scholarly article available to read on EtoBox.

What is Artificial Neural Networks and Machine Learning – ICANN 2018 Volume 11140 (27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II) about?

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 {u2013} 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

Author

Kůrková, Věra; Manolopoulos, Yannis; Hammer, Barbara; Iliadis, Lazaros; Maglogiannis, Ilias

Publisher

Springer International Publishing : Imprint: Springer

Published

2018

Language

EN

ISBN

9783030014209