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Publications

Displaying results 291 to 300 of 661.

  1. Hyungmin Kim; Donghun Kim; Pyunghwan Ahn; Sungho Suh; Hansang Cho; Junmo Kim

    ContextMix: A context-aware data augmentation method for industrial visual inspection systems

    In: International Journal Engineering Applications of Artificial Intelligence (EAAI), Vol. 131, Page 107842, Elsevier, 2024.

  2. Ihab Alzalam; Rekha Reddy; Christoph Lipps; Hans Dieter Schotten

    5G Network Traffic Forecast Interface (5G-NTFI): An Open Source Framework Design for Reproducibility and Replicability

    In: European Wireless 2024. European Wireless (EW-2024), September 9-11, Brno, Czech Republic, IEEE, 2024.

  3. Ho Minh Duy Nguyen; Hasan Md Tusfiqur Alam; Tai Nguyen; Devansh Srivastav; Hans-Jürgen Profitlich; Ngan Le; Daniel Sonntag

    Deep Learning for Ophthalmology - The State-of-the-Art and Future Trends

    DFKI, DFKI Research Reports (RR), Vol. 01, 2024.

  4. Faraz Ahmad; Tom Creutz; Christian Ernst Siegfried Koch; Bilal Wehbe

    A Deep-Learning Approach for Visual Detection of an AUV Docking Station

    In: Proceedings of Oceans 2024. OCEANS MTS/IEEE Conference (OCEANS-2024), Halifax, September 23-26, Halifax, Canada, IEEE, 2024.

  5. Fabian Schmeisser; Andreas Dengel; Sheraz Ahmed

    Point-Based Weakly Supervised 2.5D Cell Segmentation

    In: Michael Wand; Kristina Malinovska; Jürgen Schmidhuber; Igor V. Tetko (Hrsg.). 33rd International Conference on Artificial Neural Networks Lugano, Switzerland, September 17–20, 2024 Proceedings, Part VIII. International Conference on Artificial Neural Networks (ICANN-2024), Springer, 2024.

  6. Sebastian Germer; Christiane Rudolph; Louisa Labohm; Alexander Katalinic; Natalie Rath; Katharina Rausch; Bernd Holleczek; AI-Care Working Group; Heinz Handels

    Survival analysis for lung cancer patients: A comparison of Cox regression and machine learning models

    In: International Journal of Medical Informatics (IJMEDI), Vol. 191, Pages 105607-105607, Elsevier, 8/2024.

  7. Daniel Tanneberg; Alexandros Paraschos; Jan Peters; Elmar Rueckert

    Deep spiking networks for model-based planning in humanoids

    In: 16th IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2016), November 15-17, Cancun, Mexico, Pages 656-661, IEEE, 2016.

  8. Simone Parisi; Simon Ramstedt; Jan Peters

    Goal-driven dimensionality reduction for reinforcement learning

    In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2017), September 24-28, Vancouver, BC, Canada, Pages 4634-4639, IEEE, 2017.

  9. David Steinmann; Wolfgang Stammer; Felix Friedrich; Kristian Kersting

    Learning to Intervene on Concept Bottlenecks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2308.13453, Pages 0-10, arXiv, 2023.

  10. Quentin Delfosse; Jannis Blüml; Bjarne Gregori; Sebastian Sztwiertnia; Kristian Kersting

    OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.08649, Pages 0-10, arXiv, 2023.

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