@inproceedings{krondorfer_deep_2021, series = {{ESMAC} 2021 {Abstracts}}, title = {Deep learning-based similarity retrieval in clinical {3D} gait analysis}, volume = {90}, url = {https://www.sciencedirect.com/science/article/pii/S0966636221003751}, doi = {https://doi.org/10.1016/j.gaitpost.2021.09.066}, language = {en}, urldate = {2021-10-15}, booktitle = {Gait \& {Posture}}, author = {Krondorfer, P. and Slijepčević, D. and Unglaube, F. and Kranzl, A. and Breiteneder, C. and Zeppelzauer, M. and Horsak, B.}, month = oct, year = {2021}, note = {Projekt: I3D}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, SP CDHSI Motor Rehabilitation, Vortrag, Wiss. Beitrag, best, peer-reviewed}, pages = {127--128}, } @article{slijepcevic_input_2020, title = {Input {Representations} and {Classification} {Strategies} for {Automated} {Human} {Gait} {Analysis}}, volume = {76}, issn = {0966-6362}, doi = {10/ghz24x}, journal = {Gait \& Posture}, author = {Slijepcevic, Djordje and Zeppelzauer, Matthias and Schwab, Caterine and Raberger, Anna-Maria and Breitender, Christian and Horsak, Brian}, year = {2020}, note = {Projekt: IntelliGait Projekt: I3D Projekt: ReMoCap-Lab Projekt: DHLab}, keywords = {2020, Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Eintrag überprüfen, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Green OA, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, Open Access, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {198--203}, } @article{horst_explaining_2020, title = {Explaining automated gender classification of human gait}, volume = {81, supplement 1}, url = {http://www.sciencedirect.com/science/article/pii/S0966636220303568}, doi = {10/ghr9k6}, language = {en}, urldate = {2020-09-14}, journal = {Gait \& Posture}, author = {Horst, F. and Slijepcevic, D. and Zeppelzauer, M. and Raberger, A. M. and Lapuschkin, S. and Samek, W. and Schöllhorn, W. I. and Breiteneder, C. and Horsak, B.}, year = {2020}, note = {Projekt: ReMoCap-Lab Projekt: I3D}, keywords = {2020, Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Digital Health, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Institutional Access, Machine Learning, Media Computing Group, Poster, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Vortrag, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {159--160}, } @article{horsak_gaitrec_2020, title = {{GaitRec}, a large-scale ground reaction force dataset of healthy and impaired gait}, volume = {7:143}, copyright = {CC BY}, url = {https://www.nature.com/articles/s41597-020-0481-z}, doi = {10/gh372d}, number = {1}, journal = {Scientific Data}, author = {Horsak, Brian and Slijepcevic, Djordje and Raberger, Anna-Maria and Schwab, Caterine and Worisch, Marianne and Zeppelzauer, Matthias}, year = {2020}, note = {Projekt: I3D Projekt: IntelliGait Projekt: DHLab}, keywords = {2019, Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Eintrag überprüfen, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Green OA, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, Open Access, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, best-mzeppelzauer, peer-reviewed, submitted}, pages = {1--8}, } @article{bernard_jurgen_taxonomy_2021, title = {A {Taxonomy} of {Property} {Measures} to {Unify} {Active} {Learning} and {Human}-centered {Approaches} to {Data} {Labeling}}, volume = {11}, copyright = {Open Access}, issn = {2160-6455}, url = {https://dl.acm.org/doi/abs/10.1145/3439333}, doi = {10/gnt2wf}, number = {3-4}, journal = {ACM Transactions on Interactive Intelligent Systems (TiiS)}, author = {{Bernard, Jürgen} and Hutter, Marco and Sedlmair, Michael and {Zeppelzauer, Matthias} and {Munzner, Tamara}}, year = {2021}, note = {Projekt: BigDataAnalytics Projekt: I3D Projekt: PlantAI}, keywords = {2020, Center for Artificial Intelligence, Department Medien und Digitale Technologien, Eintrag überprüfen, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Media Computing Group, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed}, pages = {1--42}, }