Neural Information Processing : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part IV / / edited by Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King

• Record Nr.: UNINA9910427696403321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• ISBN: 3-030-63820-0
• Edizione: [1st ed. 2020.]
• Descrizione fisica: 1 online resource (XXIX, 844 p. 252 illus., 220 illus. in color.)
• Collana: Communications in Computer and Information Science, , 1865-0937 ; ; 1332
• Disciplina: 006.32
• Soggetti: Pattern recognition systems; Automated Pattern Recognition
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: 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.
• Sommario/riassunto: 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.