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Publications

Displaying results 211 to 220 of 672.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Siddhant Shete; Raúl Domínguez; Ravisankar Selvaraju; Mariela De Lucas Alvarez; Frank Kirchner

    Prediction-Based Tip Over Prevention for Planetary Exploration Rovers

    In: Spiros Pantelakis; Andreas Strohmayer; Nikolaos Michailidis (Hrsg.). 14th EASN International Conference. EASN International Conference on Innovation in Aviation and Space for opening New Horizons, Innovation in Aviation & Space towards sustainability today & tomorrow, October 8-11, Thessaloniki, Greece, Engineering Proceedings Journal (Eng. Proc. 2025), Vol. 90(1), No. 44, MDPI, Thessaloniki, Greece, 3/2025.

  6. 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.

  7. 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.

  8. Sungho Suh; Vitor Fortes Rey; Paul Lukowicz

    Wearable Sensor-Based Human Activity Recognition for Worker Safety in Manufacturing Line

    In: John Soldatos. Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI. Pages 303-317, ISBN 978-3-031-46452-2, Springer Nature Switzerland, Cham, 2024.

  9. Tae Yeob Kang; Haebom Lee; Sungho Suh

    An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-Parameter Patterns

    In: IEEE Transactions on Device and Materials Reliability, Vol. 24, No. 3, Pages 380-389, IEEE, 6/2024.

  10. Parham Zolfaghari; Vitor Fortes Rey; Lala Ray; Hyun Kim; Sungho Suh; Paul Lukowicz

    Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition

    In: 2024 International Conference on Activity and Behavior Computing (ABC). International Conference on Activity and Behavior Computing (ABC-2024), Pages 1-8, IEEE, 2024.

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