Tetko Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series

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28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part IV

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Beschreibung

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions. 

Autor*in

Igor V. Tetko

Themen in »Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series«

artificial intelligence classification clustering computational linguistics computer networks Human-Computer Interaction (HCI) image processing image reconstruction image segmentation imaging systems learning algorithms machine learning neural networks recurrent neural networks robotics

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Details

ISBN: 9783030304898
Verlag: Springer International Publishing
Erscheinung: 05.09.2019

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