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Jahr: 2022
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  1. Alexandra König; Philipp Müller; Johannes Tröger; Hali Lindsay; Jan Alexandersson; Jonas Hinze; Matthias Riemenschneider; Danilo Postin; Eric Ettore; Amandine Lecomte; Michel Musiol; Maxime Amblard; François Bremond; Michal Balazia; Rene Hurlemann

    Multimodal phenotyping of psychiatric disorders from social interaction: Protocol of a clinical multicenter prospective study

    In: Personalized Medicine in Psychiatry, Vol. 33, Pages 1-1, Elsevier, 2022.

  2. Angella Musiimenta; Wilson Tumuhimbise; Esther C Atukunda; Sandrah Ayebaza; Phionah Kobutungi; Aaron T Mugaba; Justus Asasira; Godfrey R Mugyenyi; Jane Katusiime; Raphael Zender; Niels Pinkwart; Jessica E Haberer

    Challenges in accessing maternal and child health services during COVID-19 and the potential role of social networking technologies

    In: Digital Health, Vol. 8, Pages 1-10, SAGE Publications, 4/2022.

  3. Kerstin Wagner; Agathe Merceron; Petra Sauer; Niels Pinkwart

    Personalized and Explainable Course Recommendations for Students at Risk of Dropping out

    In: Antonija Mitrovic; Nigel Bosch (Hrsg.). Proceedings of the 15th International Conference on Educational Data Mining. International Conference on Educational Data Mining (EDM), July 24-27, Dorham, United Kingdom, Pages 657-661, ISBN 978-1-7336736-3-1, International Educational Data Mining Society, 7/2022.

  4. Ansgar Bernardi

    Von Sensordaten zur Erkenntnis - Ansätze der KI für die Datennutzung (Kurzfassung des Vortrags)

    In: Kongressband 133. VDLUFA-Kongress - Senorsysteme in der Landwirtschaft - Chancen und Herausforderungen. VDLUFA-Kongress, Senorsysteme in der Landwirtschaft - Chancen und Herausforderungen, September 13-16, Matin-Luther-Universität Halle-Wittenberg, Germany, Pages 28-32, VDLUFA-Schriftenreihe, Vol. 78/2022, ISBN 978-3-941273-34-4, VDLUFA-Verlag, Darmstadt, 2022.

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

    Predicting semantic building information (BIM) with Recurrent Neural Networks

    In: European Conference on Product and Process Modeling. European Conference on Product and Process Modeling (ECPPM-2022), ECPPM, No. 14th, European Association of Product and Process Modelling, 9/2022.

  6. Mouloud Iferroudjene; Corentin Lonjarret; Céline Robardet; Marc Plantevit; Martin Atzmueller

    Methods for Explaining Top-N Recommendations Through Subgroup Discovery

    In: Data Mining and Knowledge Discovery, Pages 1-40, Springer, 11/2022.

  7. Parisa Shayan; Martin Atzmueller; Menno van Zaanen

    Assessing the Influence of Time on Features for the Prediction of User Dropout

    In: Proc. IEEE International Conference on Tools with Artificial Intelligence. International Conference on Tools with Artificial Intelligence (AAAI SSS), IEEE, 2022.

  8. Parisa Shayan; Menno van Zaanen; Martin Atzmueller

    Predicting User Dropouts from their Online Learning Behavior

    In: Proc. International Conference on Discovery Science. International Conference on Discovery Science, <undefined>, Springer, 2022.

  9. Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller

    Graph neural networks for multivariate time series regression with application to seismic data

    In: International Journal of Data Science and Analytics, Pages 1-16, Springer, 8/2022.

  10. Timo Markert; Sebastian Matich; Daniel Neykov; Markus Muenig; Andreas Theissler; Martin Atzmueller

    Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations

    In: Proc. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2022). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2022.

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