sascha meudt

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Friedhelm SchwenkerUlm University, Institute of Neural Information ProcessingGeverifieerd e-mailadres voor uni-ulm.de
Markus KächeleInstitute of Neural Information Processing, Ulm UniversityGeverifieerd e-mailadres voor uni-ulm.de
Günther PalmProfessor für Neuroinformatik, Universität UlmGeverifieerd e-mailadres voor uni-ulm.de
Michael GlodekInstitute of Neural Information Processing, University of UlmGeverifieerd e-mailadres voor zguy.de
Patrick ThiamInstitute of Neural Information Processing, Ulm University, GermanyGeverifieerd e-mailadres voor uni-ulm.de
Georg LayherInstitute of Neural Information Processing, Ulm UniversityGeverifieerd e-mailadres voor yher.de
Steffen WalterUniversität UlmGeverifieerd e-mailadres voor uni-ulm.de
Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information ProcessingGeverifieerd e-mailadres voor uni-ulm.de
Ingo SiegertMobile Dialog Systems, IIKT, Otto von Guericke University MagdeburgGeverifieerd e-mailadres voor ovgu.de
Felix SchüsselInstitut für Medieninformatik, Universität UlmGeverifieerd e-mailadres voor uni-ulm.de
Stefan SchererMeta - Reality Labs ResearchGeverifieerd e-mailadres voor fb.com
Elisabeth AndreProfessor of Computer Sciences, Augsburg UniversityGeverifieerd e-mailadres voor informatik.uni-augsburg.de
Sascha GrussPhD, Ulm UniversityGeverifieerd e-mailadres voor uni-ulm.de
Yan ZhangMeshcapade, ex ETH Zurich, MPI-IS, Uni-Ulm...Geverifieerd e-mailadres voor inf.ethz.ch
Ronald BöckOtto von Guericke University MagdeburgGeverifieerd e-mailadres voor ovgu.de
Andreas WendemuthProfessor for Cognitive Systems, University MagdeburgGeverifieerd e-mailadres voor ovgu.de
Tobias BroschHensoldt Sensors GmbHGeverifieerd e-mailadres voor hensoldt.net
Heinke HihnUlm University, Institute for Neural Information ProcessingGeverifieerd e-mailadres voor uni-ulm.de
Michael WeberProfessor, Ulm UniversityGeverifieerd e-mailadres voor uni-ulm.de
Frank HonoldJ.M. Voith SE & Co. KG, Group Division Digital Ventures, HeidenheimGeverifieerd e-mailadres voor voith.com

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sascha meudt

ulm university

Geverifieerd e-mailadres voor uni-ulm.de

artificial intelligence


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
The senseemotion database: A multimodal database for the development and systematic validation of an automatic pain-and emotion-recognition system M Velana, S Gruss, G Layher, P Thiam, Y Zhang, D Schork, V Kessler, ... Multimodal Pattern Recognition of Social Signals in Human-Computer …, 2017	74	2017
Fusion of audio-visual features using hierarchical classifier systems for the recognition of affective states and the state of depression M Kächele, M Glodek, D Zharkov, S Meudt, F Schwenker depression 1 (1), 671-678, 2014	74	2014
Multi-modal classifier-fusion for the recognition of emotions M Schels, M Glodek, S Meudt, S Scherer, M Schmidt, G Layher, ... Coverbal Synchrony in Human-Machine Interaction, 73-98, 2013	31	2013
Prosodic, spectral and voice quality feature selection using a long-term stopping criterion for audio-based emotion recognition M Kächele, D Zharkov, S Meudt, F Schwenker 2014 22nd International Conference on Pattern Recognition, 803-808, 2014	29	2014
Multi classifier systems and forward backward feature selection algorithms to classify emotional coloured speech S Meudt, D Zharkov, M Kächele, F Schwenker Proceedings of the 15th ACM on International conference on multimodal …, 2013	25	2013
Revisiting the EmotiW challenge: how wild is it really? Classification of human emotions in movie snippets based on multiple features M Kächele, M Schels, S Meudt, G Palm, F Schwenker Journal on Multimodal User Interfaces 10, 151-162, 2016	22	2016
Going further in affective computing: how emotion recognition can improve adaptive user interaction S Meudt, M Schmidt-Wack, F Honold, F Schüssel, M Weber, F Schwenker, ... Toward Robotic Socially Believable Behaving Systems-Volume I: Modeling …, 2016	22	2016
ATLAS–an annotation tool for HCI data utilizing machine learning methods S Meudt, L Bigalke, F Schwenker Proc. of APD 12, 5347-5352, 2012	20	2012
Detection of emotional events utilizing support vector methods in an active learning HCI scenario P Thiam, S Meudt, M Kächele, G Palm, F Schwenker Proceedings of the 2014 workshop on emotion representation and modelling in …, 2014	17	2014
Multi-modal classifier-fusion for the classification of emotional states in woz scenarios M Schels, M Glodek, S Meudt, M Schmidt, D Hrabal, R Böck, S Walter, ... 1st International Conference on Affective and Pleasurable Design, 5337-5346, 2012	17	2012
Atlas-annotation tool using partially supervised learning and multi-view co-learning in human-computer-interaction scenarios S Meudt, L Bigalke, F Schwenker 2012 11th International Conference on Information Science, Signal Processing …, 2012	14	2012
Deep learning algorithms for emotion recognition on low power single board computers V Srinivasan, S Meudt, F Schwenker Multimodal Pattern Recognition of Social Signals in Human-Computer …, 2019	13	2019
A temporal dependency based multi-modal active learning approach for audiovisual event detection P Thiam, S Meudt, G Palm, F Schwenker Neural Processing Letters 48 (2), 709-732, 2018	13	2018
On annotation and evaluation of multi-modal corpora in affective human-computer interaction M Kächele, M Schels, S Meudt, V Kessler, M Glodek, P Thiam, ... Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction …, 2015	13	2015
Machine learning driven heart rate detection with camera photoplethysmography in time domain V Kessler, M Kächele, S Meudt, F Schwenker, G Palm Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop …, 2016	11	2016
Enhanced autocorrelation in real world emotion recognition S Meudt, F Schwenker Proceedings of the 16th international conference on multimodal interaction …, 2014	11	2014
On instance selection in audio based emotion recognition S Meudt, F Schwenker Artificial Neural Networks in Pattern Recognition: 5th INNS IAPR TC 3 GIRPR …, 2012	11	2012
Developing an Expressive Speech Labeling Tool Incorporating the Temporal Characteristics of Emotion. S Scherer, I Siegert, L Bigalke, S Meudt LREC, 2010	10	2010
Inferring mental overload based on postural behavior and gestures H Hihn, S Meudt, F Schwenker Proceedings of the 2nd workshop on emotion representations and modelling for …, 2016	9	2016
Active learning for speech event detection in HCI P Thiam, S Meudt, F Schwenker, G Palm Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop …, 2016	9	2016

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