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Anomaly Detection Through Temporal Abstractions on Intensive Care Data: Position Paper
AuthID
P-00N-6A9
P-00N-6A9
3
Author(s)
3
Editor(es)
Bamidis, PD; Konstantinidis, ST; Rodrigues, PP
Tipo de Documento
Proceedings Paper
Year published
2017
Publicado
in 2017 IEEE 30TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) in IEEE International Symposium on Computer-Based Medical Systems, ISSN: 2372-9198
Volume: 2017-June, Páginas: 354-355 (2)
Conference
30Th Ieee International Symposium on Computer-Based Medical Systems (Ieee Cbms), Date: JUN 22-24, 2017, Location: Aristotle Univ Thessaloniki, Thessaloniki, GREECE, Patrocinadores: IEEE, Aristotle Univ Thessaloniki Res Comm, Univ Nottingham, ePBLnet, SmokeFreeBrain, LLM Care Hlth & Social Care Ecosystem, Open Knowledge Fdn Chapter Greece, MEDical Curriculum INnovat, Widening Access Virtual Educ Scenarios, Intelligent Parkinson Early Detect Guiding Novel Support Intervent, Ubiquitous iNteroperable Care Ageing People, Host: Aristotle Univ Thessaloniki
Publication Identifiers
DBLP: conf/cbms/GelattiCR17
SCOPUS: 2-s2.0-85040368256
Wos: WOS:000424864800072
Source Identifiers
ISSN: 2372-9198
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