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Publications

Displaying results 271 to 280 of 672.

  1. Miro Miranda Lorenz; Marcela Charfuelan Oliva; Matias Valdenegro-Toro; Andreas Dengel

    Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction

    In: PAIS. European Conference on Artificial Intelligence (ECAI-2025), Bologna, Italy, Pages 5384-5391, IOS Press, 2025.

  2. Jan-Tilman Seipp; David Reuschenberg; Eren Özveren; Matthias Meyer; Felix Köhler; Leonhard Hennig; David Harbecke; Phuc Tran Truong

    Deep Learning-based Text Mining for Technology Monitoring in the Automotive Domain

    In: Proceedings of GTM 2024. Global TechMining Conference, September 16-17, Berlin, Germany, Global TechMining Conference, 2024.

  3. Xiaoqi Li; Haoyuan Chen; Chen Li; Md Mamunur Rahaman; Xintong Li; Jian Wu; Xiaoyan Li; Hongzan Sun; Marcin Grzegorzek

    What can machine vision do for lymphatic histopathology image analysis: A comprehensive review

    In: ArXiv e-prints (arxiv), Vol. 2201.08550, arXiv, 2022.

  4. Tobias Wirth; Andrey Guzhov; Matthias Müller; Tobias Fischer; Lucas Howes; Dominik Ospelt

    AI combats Cybercrime - Deep Learning for Forensics

    In: Future Insight e.V. (Hrsg.). Curious 2024. Curious - Future Insight Conference (Curious-2024), July 10-11, Mainz, Germany, www.curiousfutureinsight.org, 7/2024.

  5. René Klaus Nikiel; Meghdad Mirabi; Carsten Binnig

    TrustDDL: A Privacy-Preserving Byzantine-Robust Distributed Deep Learning Framework

    In: 2024 54rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W 2024). Workshop on Dependable and Secure Machine Learning (DSML-2024), located at DSN 2024, June 24, Brisbane, Queensland, Australia, ISBN 979-8-3503-9572-3, IEEE, 2024.

  6. Neda Foroutan; Markus Schröder; Andreas Dengel

    CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction

    In: Proceedings of Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2024). Konferenz zur Verarbeitung natürlicher Sprache (KONVENS-2024), September 10-13, Vienna, Austria, KONVENS 2024 Organizers, 2024.

  7. Théo Vincent; Fabian Wahren; Jan Peters; Boris Belousov; Carlo D’Eramo (Hrsg.)

    Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning

    European Workshop on Reinforcement Learning (EWRL-2024), 17th European Workshop on Reinforcement Learning, European Workshop on Reinforcement Learning, 2024.

  8. Tarek Elmihoub; Abdulhakim El Gadi Gadi; Lars Nolle; Frederic Theodor Stahl

    On Object Detection and Explainability with Sonar Imagery

    In: 2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA). IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA-2024), May 19-21, Tripoli, Libyan Arab Jamahiriya, Pages 1-8, ISBN 979-8-3503-7263-2, IEEE Xplore, New Jersey, 7/2024.

  9. Daniel Sonntag; Michael Barz; Thiago Gouvea

    A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)

    German Research Center for AI, DFKI Technical Report, 6/2024.

  10. Mirko Lenz; Lukas Malburg; Ralph Bergmann

    CBRkit: An Intuitive Case-Based Reasoning Toolkit for Python

    In: Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2024), Merida, Mexico, Pages 289-304, Lecture Notes in Computer Science (LNCS), Vol. 14775, ISBN 978-3-031-63646-2, Springer Nature Switzerland, Cham, 2024.

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