TY - BOOK AU - Rutkowski,Leszek AU - Scherer,Rafał AU - Korytkowski,Marcin AU - Pedrycz,Witold AU - Tadeusiewicz,Ryszard AU - Zurada,Jacek M. ED - ICAISC (Conference) TI - Artificial intelligence and soft computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings T2 - Lecture notes in artificial intelligence SN - 9783030615345 AV - Q334 .I23 2020eb U1 - 006.3 23 PY - 2020/// CY - Cham PB - Springer KW - Artificial intelligence KW - Congresses KW - Soft computing KW - Computers, Special purpose KW - Computer networks KW - Optical data processing KW - Computer Communication Networks KW - Intelligence artificielle KW - Congrès KW - Informatique douce KW - Ordinateurs spécialisés KW - Réseaux d'ordinateurs KW - Traitement optique de l'information KW - fast KW - Computers KW - Congress KW - proceedings (reports) KW - aat KW - Conference papers and proceedings KW - lcgft KW - Actes de congrès KW - rvmgf N1 - Includes author index; Computer Vision, Image and Speech Analysis -- Data Mining -- Various Problems of Artificial Intelligence -- Agent Systems, Robotics and Control N2 - The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions. The papers included in the first volume are organized in the following six parts: neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; bioinformatics, biometrics and medical applications; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following four parts: computer vision, image and speech analysis; data mining; various problems of artificial intelligence; agent systems, robotics and control. *The conference was held virtually due to the COVID-19 pandemic UR - https://link.springer.com/10.1007/978-3-030-61534-5 ER -