Friedhelm Schwenker

Geciteerd door

	Alles	Sinds 2018
Citaties	7184	3723
h-index	45	30
i10-index	160	92

820

410

205

615

20002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202331 29 40 95 102 102 85 113 130 135 138 186 233 319 367 475 368 374 434 480 567 660 752 817

Openbare toegang

Alles bekijken

76 artikelen

65 artikelen

beschikbaar

niet beschikbaar

Op basis van financieringsmachtigingen

Medeauteurs

Günther PalmProfessor für Neuroinformatik, Universität UlmGeverifieerd e-mailadres voor uni-ulm.de
Hans A. KestlerProfessor, Institute of Medical Systems Biology, Ulm UniversityGeverifieerd e-mailadres voor uni-ulm.de
Patrick ThiamInstitute of Neural Information Processing, Ulm University, GermanyGeverifieerd e-mailadres voor uni-ulm.de
Markus KächeleInstitute of Neural Information Processing, Ulm UniversityGeverifieerd e-mailadres voor uni-ulm.de
Michael GlodekInstitute of Neural Information Processing, University of UlmGeverifieerd e-mailadres voor zguy.de
Stefan SchererMeta - Reality Labs ResearchGeverifieerd e-mailadres voor fb.com
sascha meudtulm universityGeverifieerd e-mailadres voor uni-ulm.de
Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information ProcessingGeverifieerd e-mailadres voor uni-ulm.de
Stefan FaußerProfessor of Data Analytics, Neu-Ulm University of Applied Science (HNU)Geverifieerd e-mailadres voor hnu.de
Georg LayherInstitute of Neural Information Processing, Ulm UniversityGeverifieerd e-mailadres voor yher.de
Tobias BroschHensoldt Sensors GmbHGeverifieerd e-mailadres voor hensoldt.net
Friedrich T SommerUC BerkeleyGeverifieerd e-mailadres voor berkeley.edu
Philipp WernerUniversity of MagdeburgGeverifieerd e-mailadres voor ovgu.de
Klaus Riede(former) Senior scientist at Zoological Research Museum BonnGeverifieerd e-mailadres voor uni-bonn.de
Ronald BöckOtto von Guericke University MagdeburgGeverifieerd e-mailadres voor ovgu.de
Ayoub Al-HamadiProfessor of Neuro-Information Technology (NIT)Geverifieerd e-mailadres voor ovgu.de
Nick CampbellATR, NAIST, NiCT,TCDGeverifieerd e-mailadres voor tcd.ie
Stephan ReuterSensor Fusion for Urban Automated Driving, Robert Bosch GmbHGeverifieerd e-mailadres voor stephanreuter.de
Klaus DietmayerProfessor für Mess- und RegelungstechnikGeverifieerd e-mailadres voor uni-ulm.de
Ingo SiegertMobile Dialog Systems, IIKT, Otto von Guericke University MagdeburgGeverifieerd e-mailadres voor ovgu.de

Volgen

Friedhelm Schwenker

Ulm University, Institute of Neural Information Processing

Geverifieerd e-mailadres voor uni-ulm.de

neural networks machine learning pattern recognition data mining affective computing


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Three learning phases for radial-basis-function networks F Schwenker, HA Kestler, G Palm Neural networks 14 (4-5), 439-458, 2001	653	2001
Pattern classification and clustering: A review of partially supervised learning approaches F Schwenker, E Trentin Pattern Recognition Letters 37, 4-14, 2014	240	2014
Hierarchical support vector machines for multi-class pattern recognition F Schwenker Knowledge-Based Intelligent Engineering Systems and Allied Technologies …, 2000	175	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	157	2011
Semi-supervised learning MFA Hady, F Schwenker Handbook on Neural Information Processing, 215-239, 2013	152	2013
Iterative retrieval of sparsely coded associative memory patterns F Schwenker, FT Sommer, G Palm Neural Networks 9 (3), 445-455, 1996	141	1996
Survey of deep learning in breast cancer image analysis TG Debelee, F Schwenker, A Ibenthal, D Yohannes Evolving Systems 11, 143-163, 2020	125	2020
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	119	2019
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	92	2006
Neural associative memory G Palm, F Schwenker, FT Sommer, A Strey, F Kurfeß Associative processing and processors, 1997	92	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	90	2013
A survey of brain tumor segmentation and classification algorithms ES Biratu, F Schwenker, YM Ayano, TG Debelee Journal of Imaging 7 (9), 179, 2021	86	2021
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	80	2016
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	80	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	80	1998
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	79	2017
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	79	2010
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	72	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	70	2014
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	70	2008

Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.

Artikelen 1–20

Citaties per jaar

Dubbele citaties

Samengevoegde citaties

Medeauteurs toevoegenMedeauteurs

Volgen

Geciteerd door

Medeauteurs