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Publications

Displaying results 161 to 170 of 681.

  1. Saifullah Saifullah; Stefan Agne; Andreas Dengel; Sheraz Ahmed

    The Reality of High Performing Deep Learning Models: A Case Study on Document Image Classification

    In: IEEE Access (IEEE), Vol. 12, Pages 103537-103564, IEEE, 2024.

  2. Leonid Schwenke; Till Stückemann; Martin Atzmueller

    Evaluating Higher-Level and Symbolic Features in Deep Learning on Time Series: Towards Simpler Explainability

    In: Proc. International Work-Conference on Artificial Neural Networks. International Work-Conference on Artificial Neural Networks (IWANN), Springer, 2025.

  3. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmueller

    Comparative Analysis of Deep Learning-Based Feature Extractors for Change Detection in Automotive Radar Maps

    In: IEEE Access (IEEE), Vol. 13, Pages 130629-130637, IEEE, 2025.

  4. Max Bramer; Frederic Theodor Stahl (Hrsg.)

    Artificial Intelligence XLII

    SGAI International Conference on Artificial Intelligence (AI-2025), 45th SGAI International Conference on Artificial Intelligence, December 16-18, Cambridge, United Kingdom, Lecture Notes in Computer Science (LNAI), Vol. 16302, Springer Nature Switzerland, Cham, 12/2025.

  5. Max Bramer; Frederic Theodor Stahl (Hrsg.)

    Artificial Intelligence XLII

    SGAI International Conference on Artificial Intelligence (AI-2025), 45th SGAI International Conference on Artificial Intelligence, December 16-18, Cambridge, United Kingdom, Lecture Notes in Computer Science (LNAI), Vol. 16301, Springer Nature Switzerland, Cham, 12/2025.

  6. Marian Renz; Martin Günther; Felix Igelbrink; Oscar Lima; Martin Atzmueller

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

    In: Lars Kunze (Hrsg.). KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Springer Nature, 2026.

  7. Hector Kohler; Quentin Delfosse; Riad Akrour; Kristian Kersting; Philippe Preux

    Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2405.14956, Pages 1-27, arXiv, 2024.

  8. Michael Poli; Armin W. Thomas; Eric Nguyen; Pragaash Ponnusamy; Björn Deiseroth; Kristian Kersting; Taiji Suzuki; Brian L. Hie; Stefano Ermon; Christopher Ré; Ce Zhang; Stefano Massaroli

    Mechanistic Design and Scaling of Hybrid Architectures

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2403.17844, Pages 1-34, arXiv, 2024.

  9. Hikaru Shindo; Manuel Brack; Gopika Sudhakaran; Devendra Singh Dhami; Patrick Schramowski; Kristian Kersting

    DeiSAM: Segment Anything with Deictic Prompting

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2402.14123, Pages 1-23, arXiv, 2024.

  10. Roshni Kamath; Rupert Mitchell; Subarnaduti Paul; Kristian Kersting; Martin Mundt

    BOWLL: A Deceptively Simple Open World Lifelong Learner

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2402.04814, Pages 1-16, arXiv, 2024.

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