Artificial Intelligence in Medicine
17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings
Seiten
2019
Springer International Publishing (Verlag)
978-3-030-21641-2 (ISBN)
Springer International Publishing (Verlag)
978-3-030-21641-2 (ISBN)
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.
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.
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.
| Erscheinungsdatum | 06.06.2019 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XVIII, 429 p. 136 illus., 98 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 682 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Artificial Intelligence • classification • cluster analysis • Clustering • computer vision • decision trees • Feature Selection • Knowledge Representation and Reasoning • Learning Algorithms • machine learning • model development and analysis • Modeling and Simulation • modeling methodologies • Natural Language Processing • Neural networks • Semantics • Unsupervised Learning |
| ISBN-10 | 3-030-21641-1 / 3030216411 |
| ISBN-13 | 978-3-030-21641-2 / 9783030216412 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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