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- Document type:
- Konferenzbeitrag
- Author(s):
- Maier, Marco; Elsner, Daniel; Marouane, Chadly; Zehnle, Meike; Fuchs, Christoph
- Non-TUM Co-author(s):
- ja
- Cooperation:
- national
- Title:
- DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks
- 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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