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
Patrick ThiamInstitute of Neural Information Processing, Ulm University, GermanyEmail verificata su uni-ulm.de
Markus KächeleInstitute of Neural Information Processing, Ulm UniversityEmail verificata su uni-ulm.de
Stefan SchererMeta - Reality Labs ResearchEmail verificata su fb.com
Michael GlodekInstitute of Neural Information Processing, University of UlmEmail verificata su zguy.de
sascha meudtulm universityEmail verificata su 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 FaußerProfessor of Data Analytics, Neu-Ulm University of Applied Science (HNU)Email verificata su hnu.de
Tobias BroschHensoldt Sensors GmbHEmail verificata su hensoldt.net
Philipp WernerUniversity of MagdeburgEmail verificata su ovgu.de
Friedrich T SommerUC BerkeleyEmail verificata su berkeley.edu
Ingo SiegertMobile Dialog Systems, IIKT, Otto von Guericke University MagdeburgEmail verificata su ovgu.de
Nick CampbellATR, NAIST, NiCT,TCDEmail verificata su tcd.ie
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
Stephan ReuterSensor Fusion for Urban Automated Driving, Robert Bosch GmbHEmail verificata su stephanreuter.de
Ayoub Al-HamadiProfessor of Neuro-Information Technology (NIT)Email verificata su ovgu.de
Andreas WendemuthProfessor for Cognitive Systems, University MagdeburgEmail verificata su ovgu.de

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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	688	2001
Pattern classification and clustering: A review of partially supervised learning approaches F Schwenker, E Trentin Pattern Recognition Letters 37, 4-14, 2014	264	2014
Semi-supervised learning MFA Hady, F Schwenker Handbook on Neural Information Processing, 215-239, 2013	197	2013
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	182	2011
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	180	2019
Hierarchical support vector machines for multi-class pattern recognition F Schwenker Knowledge-Based Intelligent Engineering Systems and Allied Technologies …, 2000	178	2000
Survey of deep learning in breast cancer image analysis TG Debelee, F Schwenker, A Ibenthal, D Yohannes Evolving Systems 11 (1), 143-163, 2020	173	2020
A survey of brain tumor segmentation and classification algorithms ES Biratu, F Schwenker, YM Ayano, TG Debelee Journal of Imaging 7 (9), 179, 2021	144	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	110	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	97	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
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
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	90	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	85	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	84	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
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
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	78	2017

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