Friedhelm Schwenker

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Günther PalmProfessor für Neuroinformatik, Universität UlmVerified email at uni-ulm.de
Hans A. KestlerProfessor, Institute of Medical Systems Biology, Ulm UniversityVerified email at uni-ulm.de
Patrick ThiamInstitute of Neural Information Processing, Ulm University, GermanyVerified email at uni-ulm.de
Markus KächeleInstitute of Neural Information Processing, Ulm UniversityVerified email at uni-ulm.de
Stefan SchererMeta - Reality Labs ResearchVerified email at fb.com
Michael GlodekInstitute of Neural Information Processing, University of UlmVerified email at zguy.de
sascha meudtulm universityVerified email at uni-ulm.de
Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information ProcessingVerified email at uni-ulm.de
Georg LayherInstitute of Neural Information Processing, Ulm UniversityVerified email at yher.de
Stefan FaußerProfessor of Data Analytics, Neu-Ulm University of Applied Science (HNU)Verified email at hnu.de
Tobias BroschHensoldt Sensors GmbHVerified email at hensoldt.net
Philipp WernerUniversity of MagdeburgVerified email at ovgu.de
Friedrich T SommerUC BerkeleyVerified email at berkeley.edu
Ingo SiegertMobile Dialog Systems, IIKT, Otto von Guericke University MagdeburgVerified email at ovgu.de
Nick CampbellATR, NAIST, NiCT,TCDVerified email at tcd.ie
Klaus Riede(former) Senior scientist at Zoological Research Museum BonnVerified email at uni-bonn.de
Ronald BöckOtto von Guericke University MagdeburgVerified email at ovgu.de
Stephan ReuterSensor Fusion for Urban Automated Driving, Robert Bosch GmbHVerified email at stephanreuter.de
Ayoub Al-HamadiProfessor of Neuro-Information Technology (NIT)Verified email at ovgu.de
Andreas WendemuthProfessor for Cognitive Systems, University MagdeburgVerified email at ovgu.de

Friedhelm Schwenker

Ulm University, Institute of Neural Information Processing

Verified email at uni-ulm.de

neural networks machine learning pattern recognition data mining affective computing


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Three learning phases for radial-basis-function networks F Schwenker, HA Kestler, G Palm Neural networks 14 (4-5), 439-458, 2001	692	2001
Pattern classification and clustering: A review of partially supervised learning approaches F Schwenker, E Trentin Pattern Recognition Letters 37, 4-14, 2014	267	2014
Semi-supervised learning MFA Hady, F Schwenker Handbook on Neural Information Processing, 215-239, 2013	209	2013
A dataset of continuous affect annotations and physiological signals for emotion analysis K Sharma, C Castellini, EL Van Den Broek, A Albu-Schaeffer, ... Scientific data 6 (1), 196, 2019	191	2019
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	185	2011
Survey of deep learning in breast cancer image analysis TG Debelee, F Schwenker, A Ibenthal, D Yohannes Evolving Systems 11 (1), 143-163, 2020	179	2020
Hierarchical support vector machines for multi-class pattern recognition F Schwenker Knowledge-Based Intelligent Engineering Systems and Allied Technologies …, 2000	178	2000
A survey of brain tumor segmentation and classification algorithms ES Biratu, F Schwenker, YM Ayano, TG Debelee Journal of Imaging 7 (9), 179, 2021	150	2021
Iterative retrieval of sparsely coded associative memory patterns F Schwenker, FT Sommer, G Palm Neural Networks 9 (3), 445-455, 1996	143	1996
Enhanced region growing for brain tumor MR image segmentation ES Biratu, F Schwenker, TG Debelee, SR Kebede, WG Negera, HT Molla Journal of Imaging 7 (2), 22, 2021	113	2021
A study of the robustness of KNN classifiers trained using soft labels N El Gayar, F Schwenker, G Palm Artificial Neural Networks in Pattern Recognition: Second IAPR Workshop …, 2006	99	2006
Neural associative memory G Palm, F Schwenker, FT Sommer, A Strey, F Kurfeß Associative processing and processors, 1997	95	1997
Adaptive confidence learning for the personalization of pain intensity estimation systems M Kächele, M Amirian, P Thiam, P Werner, S Walter, G Palm, ... Evolving Systems 8, 71-83, 2017	91	2017
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	91	2013
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	90	2016
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	86	1998
Combining committee-based semi-supervised learning and active learning M Farouk Abdel Hady, F Schwenker Journal of Computer Science and Technology 25 (4), 681-698, 2010	85	2010
Multimodal emotion classification in naturalistic user behavior S Walter, S Scherer, M Schels, M Glodek, D Hrabal, M Schmidt, R Böck, ... Human-Computer Interaction. Towards Mobile and Intelligent Interaction …, 2011	83	2011
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	81	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	80	2014

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