Neural Information Processing〈1st ed. 2020〉 : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part IV

著者名：Yang, Haiqin (EDT)/Pasupa, Kitsuchart (EDT)/Leung, Andrew Chi-Sing (EDT)/Kwok, James T. (EDT)/Chan, Jonathan H. (EDT)/King, Irwin (EDT)

Springer（2020/11/18発売）

• 言語：ENG
• ISBN：9783030638191
• eISBN：9783030638207

Description

The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.*

For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis.

* The conference was held virtually due to the COVID-19 pandemic.

Table of Contents

Data Mining.- Healthcare Analytics-Improving Healthcare Outcomes using Big Data Analytics.- Human Activity Recognition.- Image Processing and Computer Vision.- Natural Language Processing.- Recommender Systems.- The 13th International Workshop on Artificial Intelligence and Cybersecurity.