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190716 ||| eng |
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|a 9783030216429
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| 100 |
1 |
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|a Riaño, David
|e [editor]
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| 245 |
0 |
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|a Artificial Intelligence in Medicine
|h Elektronische Ressource
|b 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings
|c edited by David Riaño, Szymon Wilk, Annette ten Teije
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| 250 |
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|a 1st ed. 2019
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2019, 2019
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| 300 |
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|a XVIII, 429 p. 136 illus., 98 illus. in color
|b online resource
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| 505 |
0 |
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|a 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
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| 653 |
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|a Computer Communication Networks
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| 653 |
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|a Mathematical statistics
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| 653 |
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|a Image processing / Digital techniques
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| 653 |
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|a Computer science / Mathematics
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| 653 |
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|a Computer vision
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| 653 |
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|a Probability and Statistics in Computer Science
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Application software
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| 653 |
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|a Computer networks
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| 653 |
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|a Computer Imaging, Vision, Pattern Recognition and Graphics
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| 653 |
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|a Computer Engineering and Networks
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Computer engineering
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| 653 |
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|a Computer and Information Systems Applications
|
| 700 |
1 |
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|a Wilk, Szymon
|e [editor]
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| 700 |
1 |
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|a ten Teije, Annette
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Lecture Notes in Artificial Intelligence
|
| 028 |
5 |
0 |
|a 10.1007/978-3-030-21642-9
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-030-21642-9?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 006.3
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| 520 |
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|a 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; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning
|