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Publications

Displaying results 3151 to 3160 of 14431.

  1. Xia Wang; Hong Li; Alexander Zimmermann; Niels Pinkwart; Silke Wrede; Lars van Rijn; Claudia De Witt; Birgit Baudach

    IFSE - Personalized Quiz Generator and Intelligent Knowledge Recommendation

    In: 2022 IEEE 16th International Conference on Semantic Computing (ICSC). IEEE International Conference on Semantic Computing (ICSC-2022), January 26-28, Online, ISBN 978-1-6654-3419-5, IEEE, 2022.

  2. Maxx Richard Rahman; Wolfgang Maass

    Detection of Erythropoietin in Blood to Uncover Doping in Sports using Machine Learning

    In: 2022 IEEE International Conference on Digital Health (ICDH 2022) - Proceedings. IEEE International Conference on Digital Health (ICDH-2022), July 11-16, Barcelona, Spain, Pages 193-201, IEEE Xplore, 7/2022.

  3. Nurten Öksüz-Köster

    A Stress-Based Smart Retail Service in Shopping Environments: An Adoption Study

    In: Fred D. Davis; René Riedl; Jan vom Brocke; Pierre-Majorique Léger; Adriane B. Randolph; Gernot R. Müller-Putz (Hrsg.). Proceedings NeuroIS Retreat 2022. NeuroIS Retreat, June 14-16, Vienna, Austria, Pages 170-177, Springer, 2022.

  4. Alan Preciado-Grijalva; Bilal Wehbe; Miguel Bande Firvida; Matias Valdenegro-Toro

    Self-supervised Learning for Sonar Image Classification

    In: Alan Preciado-Grijalva; Bilal Wehbe; Miguel Bande Firvida; Matias Valdenegro-Toro (Hrsg.). Self-supervised Learning for Sonar Image Classification. International Conference on Computer Vision and Pattern Recognition (CVPR-2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 19-20, New Orleans, LA, USA, Pages 1498-1507, ISBN 978-1-6654-8739-9, IEEE, 2022.

  5. Christian Backe; Miguel Bande Firvida; Stefan Werner; Christian Wiezorek

    Adaptive in-situ forecasting for demand-side management in low voltage power grids

    In: Christian Backe; Miguel Bande Firvida (Hrsg.). Adaptive in-situ forecasting for demand-side management in low voltage power grids. IEEE International Conference on Smart Energy Systems and Technologies (SEST-2021), 2021 International Conference on Smart Energy Systems and Technologies (SEST), September 6-8, Vaasa, Finland, Pages 1-6, ISBN 978-1-7281-7660-4, IEEE, 2021.

  6. Miguel Bande Firvida; Bilal Wehbe

    Online Model Adaptation of Autonomous Underwater Vehicles with LSTM Networks

    In: Miguel Bande Firvida; Bilal Wehbe (Hrsg.). Online Model Adaptation of Autonomous Underwater Vehicles with LSTM Networks. OCEANS MTS/IEEE Conference (OCEANS-2021), OCEANS 2021: San Diego – Porto, September 20-12, Porto, Portugal, Pages 1-6, ISBN 978-0-692-93559-0, IEEE, 2021.

  7. Christian Wiezorek; Christian Backe; Stefan Werner; Miguel Bande Firvida; Christoph Wulkow; Kai Strunz

    Validating Algorithms for Flexible Load Control in a Smart Grid Laboratory Environment

    In: Christian Wiezorek; Christian Backe; Stefan Werner; Miguel Bande Firvida; Christoph Wulkow; Kai Strunz (Hrsg.). Validating Algorithms for Flexible Load Control in a Smart Grid Laboratory Environment. IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe-2021), 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), October 18-21, Espoo, Finland, ISBN 978-1-6654-4875-8, IEEE, 2021.

  8. Maxx Richard Rahman; Thomas Piper; Hans Geyer; Tristan Equey; Norbert Baume; Reid Aikin; Wolfgang Maaß

    Data Analytics for Uncovering Fraudulent Behaviour in Elite Sports

    In: ICIS 2022 Proceedings. International Conference on Information Systems (ICIS-2022), December 9-14, Copenhagen, Denmark, ICIS, 12/2022.

  9. Muhammad Nabeel Asim; Muhammad Ali Ibrahim; Muhammad Imran Malik; Christoph Zehe; Olivier Cloarec; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    EL-RMLocNet: An explainable LSTM network for RNA-associated multi-compartment localization prediction

    In: Computational and Structural Biotechnology Journal, Vol. 20, Pages 3986-4002, Elsevier, 2022.

  10. Jessica Bielski; Burak Mete; Viktor Eisenstadt; Christoph Langenhan; Frank Petzold; Andreas Dengel; Klaus-Dieter Althoff

    Chasing the White Rabbit: A case study of predicting design phases of architects by training a deep neural network with sketch recognition through a digital drawing board

    In: Proceedings of the 13th International Conference on Computational Creativity. International Conference on Computational Creativity (ICCC-22), 13th, June 27 - July 1, Bolzano, Italy, Pages 73-77, ISBN 978-989-54160-4-2, Association for Computational Creativity (ACC), 6/2022.

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