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[null,null,"Titolo",null,"Artificial Intelligence in Medicine [[electronic resource] ] : 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings / / edited by David Riaño, Szymon Wilk, Annette ten Teije"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"3-030-21642-X"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVIII, 429 p. 136 illus., 98 illus. in color.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence ; ; 11526"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Computer organization"]
[{"$nulls":4},"Optical data processing"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Mathematical statistics"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Information Systems and Communication Service"]
[{"$nulls":4},"Computer Systems Organization and Communication Networks"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Computer Applications"]
[{"$nulls":4},"Probability and Statistics in Computer Science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Deep Learning -- Simulation -- Knowledge Representation -- Probabilistic Models -- Behaviour Monitoring -- Clustering, Natural Language Processing, and Decision Support -- Feature Selection -- Image Processing -- General Machine Learning -- Unsupervised Learning."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; "]
[{"$nulls":4},"behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning."]