Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Florian, Lingenfelser"'
Publikováno v:
ACII Workshops
In this demo paper we present NOVA, a machine learning and explanation interface that focuses on the automated analysis of social interactions. NOVA combines Cooperative Machine Learning (CML) and explainable AI (XAI) methods to reduce manual labelli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baee8492eda2934ad4694ccf6e67900e
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/101143
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/101143
Autor:
William Curran, Gary J. McKeown, Magdalena Rychlowska, Elisabeth André, Johannes Wagner, Florian Lingenfelser
Publikováno v:
Frontiers in Psychology, Vol 8 (2018)
Despite being a pan-cultural phenomenon, laughter is arguably the least understood behaviour deployed in social interaction. As well as being a response to humour, it has other important functions including promoting social affiliation, developing co
Externí odkaz:
https://doaj.org/article/dc5b54a7fb64475cbd411adac7035576
Autor:
Thomas Kiderle, Hannes Ritschel, Kathrin Janowski, Silvan Mertes, Florian Lingenfelser, Elisabeth Andre
Publikováno v:
2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19b3b8069920b0e4578c499b2963be72
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/90958
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/90958
Autor:
Michael Dietz, Silvan Mertes, Lama Diab, Thomas Kiderle, Elisabeth André, Florian Lingenfelser
Publikováno v:
Proceedings of the 2nd International Conference on Deep Learning Theory and Applications
DeLTA
DeLTA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cb4fd74b1b7ececcbfc96a27bed75a4
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/89686
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/89686
Publikováno v:
ACII
In this paper, we introduce a next-generation annotation tool called NOVA, which implements a workflow that interactively incorporates the ‘human in the loop’. In particular, NOVA offers a collaborative annotation backend where multiple annotator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ad6ad74d0e10cd24b37a744d00b58c9
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/79478
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/79478
Autor:
Michel Valstar, Elisabeth André, Florian Lingenfelser, Tobias Baur, Björn Schuller, Alexander Heimerl, Johannes Wagner
In the following article, we introduce a novel workflow, which we subsume under the term “explainable cooperative machine learning” and show its practical application in a data annotation and model training tool calledNOVA. The main idea of our a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dda9736969e0def6b89158b39e0bebd
https://opus.bibliothek.uni-augsburg.de/opus4/files/71693/Baur2020_Article_EXplainableCooperativeMachineL.pdf
https://opus.bibliothek.uni-augsburg.de/opus4/files/71693/Baur2020_Article_EXplainableCooperativeMachineL.pdf
Autor:
Björn Schuller, Elisabeth André, Raymond Brueckner, Florian Lingenfelser, Jun Deng, Johannes Wagner
Publikováno v:
IEEE Transactions on Affective Computing. 9:410-423
Throughout many present studies dealing with multi-modal fusion, decisions are synchronously forced for fixed time segments across all modalities. Varying success is reported, sometimes performance is worse than unimodal classification. Our goal is t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2e4d995213f82ce822b307a548d5aab
https://doi.org/10.1109/taffc.2016.2635124
https://doi.org/10.1109/taffc.2016.2635124
Autor:
Sina A. Clausen, Tobias Baur, Wolfgang Lutz, Elisabeth André, Florian Lingenfelser, Alexander Heimerl
Publikováno v:
MultiMedia Modeling ISBN: 9783030377335
MMM (2)
MMM (2)
In this paper, we explore the benefits of our next-generation annotation and analysis tool NOVA in the domain of psychotherapy. The NOVA tool has been developed, tested and applied in behaviour studies for several years and psychotherapy sessions off
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6617b0b66a63d55b856970fa0802d2df
https://doi.org/10.1007/978-3-030-37734-2_47
https://doi.org/10.1007/978-3-030-37734-2_47