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Publications

 

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Displaying results 51 to 60 of 504.
  1. Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification

    In: Guang Yang; Angelica Aviles-Rivero; Michael Roberts; Carola-Bibiane Schönlieb (Hrsg.). Annual Conference on Medical Image Understanding and …

  2. Creating Customers That Never Existed - Synthesis of E-commerce Data Using CTGAN

    In: ibai - publishing (Hrsg.). Machine Learning and Data Mining in Pattern Recognition. International Conference on Machine Learning and Data Mining …

  3. Julia Andresen; Timo Kepp; Jan Ehrhardt; Claus von der Burchard; Johann Roider; Heinz Handels

    Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies

    In: International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 17, No. 4, Pages 699-710, Springer, 2022.

  4. Hristina Uzunova; Matthias Wilms; Nils D Forkert; Heinz Handels; Jan Ehrhardt

    A systematic comparison of generative models for medical images

    In: International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 17, Pages 1-12, Springer, 2022.

  5. Andreas Maier; Thomas M Deserno; Heinz Handels; Klaus Maier-Hein; Christoph Palm; Thomas Tolxdorff

    IJCARS: BVM 2021 special issue

    In: International journal of computer assisted radiology and surgery (IJCARS), Vol. 16, No. 12, Pages 2067-2068, Springer, 2021.

  6. Víctor Uc-Cetina; Nicolás Navarro-Guerrero; Anabel Martin-Gonzalez; Cornelius Weber; Stefan Wermter

    Survey on Reinforcement Learning for Language Processing

    In: Artificial Intelligence Review, Vol. 1, Pages 1-33, Springer, 6/2022.

  7. ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks

    In: Andrea Marrella; Barbara Weber (Hrsg.). Business Process Management Workshops. Business Process Management (BPM), Springer, 2021.

  8. Terrain Adaption Controller for a Walking Excavator Robot using Deep Reinforcement Learning

    In: 2021 20th International Conference on Advanced Robotics (ICAR). International Conference On Advanced Robotics (ICAR-2021), December 7-10, …

  9. Enabling reliable Visual Quality Control in Smart Factories through TSN

    In: Roberto Teti; Doriana M. D'Addona (Hrsg.). Procedia CIRP, Vol. 88 - 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, …

  10. Jens Popper; Martin Ruskowski

    Using Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Problems

    In: Roberto Teti; Doriana M. D'Addona (Hrsg.). CIRP Proceedings. CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), …