TY  - GEN
AB  - 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.
AU  - Chan, Jonathan H.,
AU  - King, Irwin,
AU  - Kwok, James
AU  - Leung, Chi Sing,
AU  - Pasupa, Kitsuchart,
AU  - Yang, Haiqin,
CN  - Q337.5
CN  - TK7882.P3
DO  - 10.1007/978-3-030-63823-8
DO  - doi
ID  - 958918
KW  - Neural networks (Computer science)
KW  - Application software.
KW  - Artificial intelligence.
KW  - Computers.
KW  - Pattern perception.
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-63823-8
N2  - 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.
SN  - 9783030638238
SN  - 3030638235
T1  - Neural Information Processing :27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings.
TI  - Neural Information Processing :27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings.
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-63823-8
VL  - 1333
ER  -