Wolfgang I. Schöllhorn

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Fabian HorstJohannes Gutenberg-University Mainz (Germany)Verified email at uni-mainz.de
Hendrik BeckmannSenior Researcher, University of Mainz (Germany)Verified email at uni-mainz.de
Keith DavidsSheffield Hallam UniversityVerified email at shu.ac.uk
Nuno LeiteLecturer at University of Trás-os-Montes and Alto DouroVerified email at utad.pt
Diogo CoutinhoUTADVerified email at utad.pt
Sara SantosCIBIO/InBio, University of EvoraVerified email at uevora.pt
Bruno GonçalvesUniversidade de Évora, Departamento de Desporto e Saúde, CHCRVerified email at uevora.pt
Wojciech SamekProfessor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD FellowVerified email at tu-berlin.de
Sebastian LapuschkinHead of Explainable AI, Fraunhofer Heinrich Hertz InstituteVerified email at hhi.fraunhofer.de
Djordje SlijepcevicResearcher, Institute of Creative\Media/Technologies, St. Pölten University of AppliedVerified email at fhstp.ac.at
Matthias ZeppelzauerSenior Researcher, St. Pölten University of Applied SciencesVerified email at ims.tuwien.ac.at
Brian HorsakCenter for Digital Health and Social Innovation, St. Pölten University of Applied SciencesVerified email at fhstp.ac.at
Johannes BurdackJohannes Gutenberg-University MainzVerified email at uni-mainz.de
Benno NiggProfessor of Biomechanics University of CalgaryVerified email at ucalgary.ca
Jorge AredeInstituto Politécnico de ViseuVerified email at utad.eu
Christian BreitenederVienna University of TechnologyVerified email at ims.tuwien.ac.at
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
geert savelsberghhoogleraarVerified email at vu.nl
button, cUniversity of OtagoVerified email at otago.ac.nz
Bruno TravassosUniversidade da Beira Interior, Centro de Investigação em Desporto, Saúde e Desenvolvimento HumanoVerified email at ubi.pt

Wolfgang I. Schöllhorn

University of Mainz

Verified email at uni-mainz.de - Homepage

Learning System theory Signal Analysis Biomechanics Self Organization


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Time scales of adaptive behavior and motor learning in the presence of stochastic perturbations WI Schöllhorn, G Mayer-Kress, KM Newell, M Michelbrink Human movement science 28 (3), 319-333, 2009	305	2009
Explaining the unique nature of individual gait patterns with deep learning F Horst, S Lapuschkin, W Samek, KR Müller, WI Schöllhorn Scientific reports 9 (1), 2391, 2019	264	2019
The nonlinear nature of learning-A differential learning approach W I Schollhorn, P Hegen, K Davids	225	2012
Does noise provide a basis for the unification of motor learning theories? WI Schollhorn, H Beckmann, M Michelbrink, M Sechelmann, M Trockel, ... International journal of sport psychology 37 (2/3), 186, 2006	219	2006
Differenzielles Lernen im Kugelstoßen (Differencial learning in shot put) H Beckmann, WI Schöllhorn Leistungssport 6, 44-50, 2006	219*	2006
Applications of artificial neural nets in clinical biomechanics WI Schöllhorn Clinical Biomechanics 19 (9), 876-898, 2004	213	2004
A new method to learn to start in speed skating: a differencial learning approach. GJP Savelsbergh, WJ Kamper, J Rabius, JJ De Koning, W Schöllhorn International journal of sport psychology 41 (4), 415, 2010	206	2010
Differential training facilitates early consolidation in motor learning D Henz, WI Schöllhorn Frontiers in behavioral neuroscience 10, 199, 2016	197	2016
Individualität-ein vernachlässigter Parameter WI Schöllhorn Leistungssport 29 (2), 5-12, 1999	196	1999
Differential learning as a key training approach to improve creative and tactical behavior in soccer S Santos, D Coutinho, B Gonçalves, W Schöllhorn, J Sampaio, N Leite Research quarterly for exercise and sport 89 (1), 11-24, 2018	175	2018
Identification of individual walking patterns using time discrete and time continuous data sets WI Schöllhorn, BM Nigg, DJ Stefanyshyn, W Liu Gait & Posture 15 (2), 180-186, 2002	174	2002
Self-organizing maps for the analysis of complex movement patterns HU Bauer, W Schöllhorn Neural Processing Letters 5, 193-199, 1997	167	1997
A quantitative dynamical systems approach to differential learning: self-organization principle and order parameter equations TD Frank, M Michelbrink, H Beckmann, WI Schöllhorn Biological cybernetics 98 (1), 19-31, 2008	166	2008
Recognition of emotions in gait patterns by means of artificial neural nets D Janssen, WI Schöllhorn, J Lubienetzki, K Fölling, H Kokenge, K Davids Journal of Nonverbal Behavior 32, 79-92, 2008	152	2008
Identifying individual movement styles in high performance sports by means of self-organizing Kohonen maps WI Schöllhorn, HU Bauer ISBS-conference proceedings archive, 574-577, 1998	123	1998
Exploiting system fluctuations: differential training in physical prevention and rehabilitation programs for health and exercise W Schollhorn, H Beckmann, K Davids Medicina 46 (6), 365-373, 2010	105	2010
Application of system dynamic principles to technique and strength training WI Schöllhorn Acta Academiae Olympiquea Estoniae 8, 67-85, 2000	103	2000
Diagnosing fatigue in gait patterns by support vector machines and self-organizing maps D Janssen, WI Schöllhorn, KM Newell, JM Jäger, F Rost, K Vehof Human movement science 30 (5), 966-975, 2011	100	2011
The effects of an enrichment training program for youth football attackers D Coutinho, S Santos, B Gonçalves, B Travassos, DP Wong, ... PloS one 13 (6), e0199008, 2018	96	2018
Differential learning in Volleyball: an instructional sequence for improving the first contact. J Römer, WI Schöllhorn, T Jaitner, R Preiss Sportunterricht 58 (2), 41-45, 2009	96	2009

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