Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning

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

• Author(s): Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis,
• Publisher: Springer Nature
• Pages: 807
• ISBN_10: 3030304841
  ISBN_13: 9783030304843
  
• Language: en
• Categories: Computers / Artificial Intelligence / General , Computers / Software Development & Engineering / Computer Graphics , Computers / Networking / General , Computers / Online Services , Computers / Programming / Algorithms , Computers / Security / General , Computers / Information Technology , Computers / Internet / General , Computers / Optical Data Processing ,

Description:... 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.