Friedhelm Schwenker

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Günther PalmProfessor für Neuroinformatik, Universität UlmEmail verificata su uni-ulm.de
Hans A. KestlerProfessor, Institute of Medical Systems Biology, Ulm UniversityEmail verificata su uni-ulm.de
Stefan SchererCTO - Embodied, Inc.Email verificata su embodied.me
Michael GlodekInstitute of Neural Information Processing, University of UlmEmail verificata su zguy.de
Markus KächeleInstitute of Neural Information Processing, Ulm UniversityEmail verificata su uni-ulm.de
Patrick ThiamInstitute of Neural Information Processing, Ulm University, GermanyEmail verificata su uni-ulm.de
sascha meudtulm universityEmail verificata su uni-ulm.de
Mohamed Farouk Abdel HadyPrincipal Data Scientist, MicrosoftEmail verificata su alumni.uni-ulm.de
Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information ProcessingEmail verificata su uni-ulm.de
Stefan FaußerInstitute of Neural Information Processing, University of UlmEmail verificata su gmx.biz
Georg LayherInstitute of Neural Information Processing, Ulm UniversityEmail verificata su yher.de
Friedrich T SommerUC BerkeleyEmail verificata su berkeley.edu
Tobias BroschInstitute of Neural Information Processing, University of Ulm, GermanyEmail verificata su uni-ulm.de
Philipp WernerUniversity of MagdeburgEmail verificata su ovgu.de
Ronald BöckOtto von Guericke University MagdeburgEmail verificata su ovgu.de
Klaus Riede(former) Senior scientist at Zoological Research Museum BonnEmail verificata su uni-bonn.de
Nick CampbellATR, NAIST, NiCT,TCDEmail verificata su tcd.ie
Ayoub Al-HamadiEmail verificata su ovgu.de
Ingo SiegertMobile Dialog Systems, IIKT, Otto von Guericke University MagdeburgEmail verificata su ovgu.de
Andreas WendemuthProfessor for Cognitive Systems, University MagdeburgEmail verificata su ovgu.de

Friedhelm Schwenker

Ulm University, Institute of Neural Information Processing

Email verificata su uni-ulm.de

neural networks machine learning pattern recognition data mining affective computing


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Three learning phases for radial-basis-function networks F Schwenker, HA Kestler, G Palm Neural networks 14 (4-5), 439-458, 2001	525	2001
Hierarchical support vector machines for multi-class pattern recognition F Schwenker Knowledge-Based Intelligent Engineering Systems and Allied Technologies …, 2000	164	2000
Pattern classification and clustering: A review of partially supervised learning approaches F Schwenker, E Trentin Pattern Recognition Letters 37, 4-14, 2014	154	2014
Iterative retrieval of sparsely coded associative memory patterns F Schwenker, FT Sommer, G Palm Neural Networks 9 (3), 445-455, 1996	129	1996
Multiple classifier systems for the classification of audio-visual emotional states M Glodek, S Tschechne, G Layher, M Schels, T Brosch, S Scherer, ... Affective Computing and Intelligent Interaction, 359-368, 2011	120	2011
Multiple Classifier Systems: Second International Workshop, MCS 2001 Cambridge, UK, July 2-4, 2001 Proceedings J Kittler Springer Science & Business Media, 2001	94	2001
Neural associative memory G Palm, F Schwenker, FT Sommer, A Strey, F Kurfeß Associative processing and processors, 1997	82	1997
Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification S Scherer, J Kane, C Gobl, F Schwenker Computer Speech & Language 27 (1), 263-287, 2013	76	2013
Multimodal emotion classification in naturalistic user behavior S Walter, S Scherer, M Schels, M Glodek, D Hrabal, M Schmidt, R Böck, ... International Conference on Human-Computer Interaction, 603-611, 2011	75	2011
Semi-supervised learning MFA Hady, F Schwenker Handbook on Neural Information Processing, 215-239, 2013	71	2013
De-noising of high-resolution ECG signals by combining the discrete wavelet transform with the Wiener filter HA Kestler, M Haschka, W Kratz, F Schwenker, G Palm, V Hombach, ... Computers in Cardiology 1998. Vol. 25 (Cat. No. 98CH36292), 233-236, 1998	70	1998
Combining committee-based semi-supervised learning and active learning MFA Hady, F Schwenker Journal of Computer Science and Technology 25 (4), 681-698, 2010	68	2010
Spotting laughter in natural multiparty conversations: A comparison of automatic online and offline approaches using audiovisual data S Scherer, M Glodek, F Schwenker, N Campbell, G Palm ACM Trans. Interact. Intell. Syst 2 (1), 4, 2013	59	2013
A study of the robustness of KNN classifiers trained using soft labels N El Gayar, F Schwenker, G Palm IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 67-80, 2006	57	2006
Decision templates for the classification of bioacoustic time series C Dietrich, G Palm, F Schwenker Information Fusion 4 (2), 101-109, 2003	55	2003
Inferring depression and affect from application dependent meta knowledge M Kächele, M Schels, F Schwenker Proceedings of the 4th International Workshop on Audio/Visual Emotion …, 2014	54	2014
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), 2014	54	2014
A generic framework for the inference of user states in human computer interaction S Scherer, M Glodek, G Layher, M Schels, M Schmidt, T Brosch, ... Journal on Multimodal User Interfaces 6 (3-4), 117-141, 2012	51	2012
Co-training by committee: a new semi-supervised learning framework MFA Hady, F Schwenker 2008 IEEE International Conference on Data Mining Workshops, 563-572, 2008	51	2008
Classifier fusion for emotion recognition from speech S Scherer, F Schwenker, G Palm IET Digital Library, 2007	50	2007

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