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Staff

Prof. Dr. Martin Atzmüller

Contact

Address (Osnabrück)

Publications

Active-Learning-Driven Deep Interactive Segmentation for Cost-Effective Labeling of Crop-Weed Image Data

Freddy Sikouonmeu; Martin Atzmueller

In: Konferenzband der 43. GIL-Jahrestagung. GIL-Jahrestagung (GIL-2023) Resiliente Agri-Food-Systeme: Herausforderungen und Lösungsansätze. GIL-Jahrestagung (GIL), February 13-14, Osnabrück, Germany, GI, 2023.

To the publication

Multi-Level Analysis of Learning Management Systems' User Acceptance Exemplified in Two Real-World Case Studies

Parisa Shayan; Roberto Rondinelli; Menno Zaanen; Martin Atzmueller

In: Data, Vol. 8, No. 3, Pages 1-27, MDPI, 2023.

To the publication

Making Time Series Embeddings More Interpretable in Deep Learning: Extracting Higher-Level Features via Symbolic Approximation Representations

Leonid Schwenke; Martin Atzmueller

In: Proceedings of the 36th International Florida Artificial Intelligence Research Society Conference (FLAIRS-2023). International FLAIRS Conference (FLAIRS-2023), May 14-17, Clearwater Beach, FL, USA, Florida Online Journals, 2023.

To the publication
All publications

Profile

  • ExPrIS

    Knowledge-Level Expectations as Priors for Object Interpretation from Sensor Data

    "What will I see when I turn this corner?"

    Depending on what is around that corner, this question is easy for us to answer. We are likely to see a refrigerator in a kitchen, ships at a port, and a…

    ExPrIS

  • AW4.0

    Autowerkstatt4.0

    In the project Autowerkstatt 4.0 (AW 4.0), a consortium consisting of companies and research institutes is developing a platform for the trustworthy data exchange of industry-specific AI models and…

    AW4.0