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Machine Learning in High Energy Physics Community White Paper

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In
18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT2017) : 21-25 August 2017, Seattle, United States of America / conference chair Denis Perret-Gallix (LAPP/IN2P3/CNRS-KEK) 978-1-5108-7371-1

In
Journal of Physics / Conference Series 1085, Seiten/Artikel-Nr.:022008

Konferenz/Event:18. International Workshop on Advanced Computing and Analysis Techniques in Physics Research , Seattle, WA , USA , ACAT 2017 , 2017-08-21 - 2017-08-25

ImpressumBristol : IOP Publ.

ISBN978-1-5108-7371-1

ISSN1742-6596

Online
DOI: 10.1088/1742-6596/1085/2/022008

DOI: 10.18154/RWTH-2019-05494
URL: https://publications.rwth-aachen.de/record/762208/files/762208.pdf

Einrichtungen

  1. Lehrstuhl für Experimentalphysik III A und III. Physikalisches Institut (133110)
  2. Fachgruppe Physik (130000)


Thematische Einordnung (Klassifikation)
DDC: 530

OpenAccess:
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Dokumenttyp
Journal Article/Contribution to a conference proceedings/Contribution to a book

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85055779283
WOS Core Collection: WOS:000467872200008

Interne Identnummern
RWTH-2019-05494
Datensatz-ID: 762208

Beteiligte Länder
Australia, Belgium, Colombia, Czech Republic, France, Germany, Israel, Italy, Netherlands, Peoples R China, Portugal, Russia, Slovakia, South Korea, Spain, Sweden, Switzerland, UK, USA

 GO


Medline ; Creative Commons Attribution CC BY 3.0 ; OpenAccess ; NationallizenzNationallizenz ; SCOPUS

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The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Document types > Articles > Journal Articles
Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Physics
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Public records
Publications database
130000
133110

 Record created 2019-06-05, last modified 2024-05-16


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