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Publications

 

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Displaying results 51 to 60 of 574.
  1. Neerincx Mark A.; van Vught Willeke; Blanson Henkemans Olivier; Oleari Elettra; Broekens Joost; Peters Rifca; Kaptein Frank; Demiris Yiannis; Kiefer Bernd; Fumagalli Diego; Bierman Bert

    Socio-Cognitive Engineering of a Robotic Partner for Child's Diabetes Self-Management

    In: Frontiers in Robotics and AI, Vol. 6, Page 118, .. 2019.

  2. Patrick Krupka; Paul Lukowicz; Christopher Kreis; Bastian Boßdorf-Zimmer

    Learned steering feel by a neural network for a steer-by-wire system

    In: Peter E. Pfeffer (Hrsg.). 10th International Munich Chassis Symposium 2019. International Munich Chassis Symposium, Pages 449-464, Proceedings …

  3. Sungho Suh; Haebom Lee; Jun Jo; Paul Lukowicz; Yong Oh Lee

    Generative Oversampling Method for Imbalanced Data on Bearing Fault Detection and Diagnosis

    In: Applied Sciences, Vol. 9, No. 4 (746), Pages 1-16, MDPI, 1/2019.

  4. Sungho Suh; Haebom Lee; Yong Oh Lee; Paul Lukowicz; Jongwoon Hwang

    Robust Shipping Label Recognition and Validation for Logistics by Using Deep Neural Networks

    In: 2019 IEEE International Conference on Image Processing (ICIP). IEEE International Conference on Image Processing (ICIP-2019), September 22-25, …

  5. Lukas Brausch; Holger Hewener; Paul Lukowicz

    Towards a wearable low-cost ultrasound device for classification of muscle activity and muscle fatigue

    In: ACM International Symposium on Wearable Computers. ACM International Symposium on Wearable Computers (ISWC-2019), ACM, 2019.

  6. Max Birtel; William Motsch; Martin Ruskowski

    Implementierung eines mitarbeiterrollenbasierten Informationssystems in einer modularen Produktionsumgebung mittels einer menschenzentrierten Verwaltungsschale

    In: Mensch und Computer 2019 - Workshopband. Mensch und Computer (MuC), Gesellschaft für Informatik e.V. 2019.

  7. Milos Kravcik; Ivan Cantador

    UMAP 2019 Workshops & Tutorials Overview and Organization

    In: UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. International Conference on User …

  8. Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Xiaoting Shao; Kristian Kersting; Zoubin Ghahramani

    Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

    In: Amir Globerson; Ricardo Silva (Hrsg.). Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence. Conference in …

  9. Claas Völcker; Alejandro Molina; Johannes Neumann; Dirk Westermann; Kristian Kersting

    DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets

    In: Peggy Cellier; Kurt Driessens (Hrsg.). Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and …

  10. Navdeep Kaur; Gautam Kunapuli; Saket Joshi; Kristian Kersting; Sriraam Natarajan

    Neural Networks for Relational Data

    In: Dimitar Kazakov; Can Erten (Hrsg.). Inductive Logic Programming - 29th International Conference, Proceedings. International Conference on …