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Title:

DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks

Document type:
Konferenzbeitrag
Author(s):
Maier, Marco; Elsner, Daniel; Marouane, Chadly; Zehnle, Meike; Fuchs, Christoph
Non-TUM Co-author(s):
ja
Cooperation:
national
Intellectual Contribution:
Discipline-based Research
Book / Congress title:
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Congress (additional information):
Macau, China
Publisher:
International Joint Conferences on Artificial Intelligence Organization
Date of publication:
01.08.2019
Year:
2019
Month:
Jul
Print-ISBN:
9780999241141
Fulltext / DOI:
doi:10.24963/ijcai.2019/196
Key publication:
Nein
Peer reviewed:
Ja
International:
Ja
Book review:
Nein
Commissioned:
not commissioned
Technology:
Ja
Interdisciplinarity:
Ja
Mission statement:
Energy, Climate, Environment
Ethics and Sustainability:
Nein
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