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
Markus KächeleInstitute of Neural Information Processing, Ulm UniversityEmail verificata su uni-ulm.de
Michael GlodekInstitute of Neural Information Processing, University of UlmEmail verificata su zguy.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
Georg LayherInstitute of Neural Information Processing, Ulm UniversityEmail verificata su yher.de
Stefan FaußerNeu-Ulm University of Applied Science (HNU)Email verificata su hnu.de
Tobias BroschHensoldt Sensors GmbHEmail verificata su hensoldt.net
Friedrich T SommerUC BerkeleyEmail verificata su berkeley.edu
Philipp WernerUniversity of MagdeburgEmail verificata su ovgu.de
Klaus Riede(former) Senior scientist at Zoological Research Museum BonnEmail verificata su uni-bonn.de
Ronald BöckOtto von Guericke University MagdeburgEmail verificata su ovgu.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	573	2001
Pattern classification and clustering: A review of partially supervised learning approaches F Schwenker, E Trentin Pattern Recognition Letters 37, 4-14, 2014	185	2014
Hierarchical support vector machines for multi-class pattern recognition F Schwenker Knowledge-Based Intelligent Engineering Systems and Allied Technologies …, 2000	174	2000
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	143	2011
Iterative retrieval of sparsely coded associative memory patterns F Schwenker, FT Sommer, G Palm Neural Networks 9 (3), 445-455, 1996	135	1996
Multiple classifier systems J Kittler Soft Computing Approach to Pattern Recognition and Image Processing, 3-22, 2002	121	2002
Semi-supervised learning MFA Hady, F Schwenker Handbook on Neural Information Processing, 215-239, 2013	88	2013
Neural associative memory G Palm, F Schwenker, FT Sommer, A Strey, F Kurfeß Associative processing and processors, 1997	84	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	83	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	76	2011
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	74	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	71	2010
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	63	2006
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	62	2008
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	60	2013
Decision templates for the classification of bioacoustic time series C Dietrich, G Palm, F Schwenker Information Fusion 4 (2), 101-109, 2003	60	2003
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	59	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), 117-141, 2012	56	2012
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	55	2014
Methods for person-centered continuous pain intensity assessment from bio-physiological channels M Kächele, P Thiam, M Amirian, F Schwenker, G Palm IEEE Journal of Selected Topics in Signal Processing 10 (5), 854-864, 2016	51	2016

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