Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Matthias Zeppelzauer"'
Autor:
Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich
Publikováno v:
Current Issues in Sport Science, Vol 9, Iss 4 (2024)
Biomechanical data collection was largely confined to controlled laboratory setups, relying on marker-based systems or force platforms. However, the emergence of wearable sensors and markerless motion capture has revolutionized this field, enabling d
Externí odkaz:
https://doaj.org/article/6318c743feb04a00b6704788dc5fcf46
Autor:
Miroslav Despotovic, David Koch, Simon Thaler, Eric Stumpe, Wolfgang Brunauer, Matthias Zeppelzauer
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102556- (2024)
The integration of alternative data extraction approaches for multimodal data, can significantly reduce modeling difficulties for the automatic location assessment. We develop a method for assessing the quality of the immediate living environment by
Externí odkaz:
https://doaj.org/article/02961a3ef43a456f86a22e51e46bc024
Autor:
Fabian Horst, Djordje Slijepcevic, Marvin Simak, Brian Horsak, Wolfgang Immanuel Schöllhorn, Matthias Zeppelzauer
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 3414-3423 (2023)
Human gait is a complex and unique biological process that can offer valuable insights into an individual’s health and well-being. In this work, we leverage a machine learning-based approach to model individual gait signatures and identify factors
Externí odkaz:
https://doaj.org/article/61c3a247c28e4e10995aa02ea5d8d83c
Autor:
Djordje Slijepcevic, Matthias Zeppelzauer, Fabian Unglaube, Andreas Kranzl, Christian Breiteneder, Brian Horsak
Publikováno v:
IEEE Access, Vol 11, Pp 65906-65923 (2023)
This work investigates the effectiveness of various machine learning (ML) methods in classifying human gait patterns associated with cerebral palsy (CP) and examines the clinical relevance of the learned features using explainability approaches. We t
Externí odkaz:
https://doaj.org/article/2dd2d7e0c90c4216909a10358ecddd3e
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2135 (2023)
Building footprint (BFP) extraction focuses on the precise pixel-wise segmentation of buildings from aerial photographs such as satellite images. BFP extraction is an essential task in remote sensing and represents the foundation for many higher-leve
Externí odkaz:
https://doaj.org/article/767c2484afbf44398af54aa94a0a1690
Autor:
Gerhard Tucek, Clemens Maidhof, Julia Vogl, Astrid Heine, Matthias Zeppelzauer, Nikolaus Steinhoff, Jörg Fachner
Publikováno v:
Brain Sciences, Vol 12, Iss 5, p 565 (2022)
Interdisciplinary research into the underlying neural processes of music therapy (MT) and subjective experiences of patients and therapists are largely lacking. The aim of the current study was to assess the feasibility of newly developed procedures
Externí odkaz:
https://doaj.org/article/073513f7b3f84b71a115b7c3aaa4d96b
Autor:
Angela S Stoeger, Gunnar Heilmann, Matthias Zeppelzauer, André Ganswindt, Sean Hensman, Benjamin D Charlton
Publikováno v:
PLoS ONE, Vol 7, Iss 11, p e48907 (2012)
Recent comparative data reveal that formant frequencies are cues to body size in animals, due to a close relationship between formant frequency spacing, vocal tract length and overall body size. Accordingly, intriguing morphological adaptations to el
Externí odkaz:
https://doaj.org/article/29055816791c4a34956d1a0d5329acd5
Autor:
Djordje Slijepcevic, Matthias Zeppelzauer, Fabian Unglaube, Andreas Kranzl, Christian Breiteneder, Brian Horsak
Publikováno v:
Gait & Posture. 100:32-33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fe129714de07c643b1c8f91035c950d
https://doi.org/10.1016/j.gaitpost.2022.11.045
https://doi.org/10.1016/j.gaitpost.2022.11.045
Autor:
Wolfgang I. Schöllhorn, Sebastian Lapuschkin, Brian Horsak, Djordje Slijepcevic, Wojciech Samek, Matthias Zeppelzauer, Fabian Horst, Anna-Maria Raberger, Christian Breiteneder
State-of-the-art machine learning (ML) models are highly effective in classifying gait analysis data, however, they lack in providing explanations for their predictions. This "black-box" characteristic makes it impossible to understand on which input
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9647233ddc77cf4d1b313f1b6d7f0350
http://arxiv.org/abs/2211.17015
http://arxiv.org/abs/2211.17015
Publikováno v:
Computers & Graphics. 96:48-60
Class separation is an important concept in machine learning and visual analytics. We address the visual analysis of class separation measures for both high-dimensional data and its corresponding projections into 2D through dimensionality reduction (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9765cea3fc47a22314320cefb87ed9cf
https://doi.org/10.1016/j.cag.2021.03.004
https://doi.org/10.1016/j.cag.2021.03.004