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Publications

Displaying results 21 to 30 of 571.

  1. Christoph Peter Balada; Aida Romano-Martinez; Vincent ten Cate; Katharina Geschke; Jonas Tesarz; Paul Claßen; Alexander K Schuster; Dativa Tibyampansha; Karl-Patrik Kresoja; Philipp S Wild; others

    Deep Learning for Cardiovascular Risk Assessment: Proxy Features from Carotid Sonography as Predictors of Arterial Damage

    In: Lecture Notes in Computer Science. Medical Image Understanding and Analysis (MIUA-2025), LNCS, Springer Nature, 2025.

  2. Maximilian Hoffmann; Lukas Malburg; Ralph Bergmann

    Augmentation of Semantic Processes for Deep Learning Applications

    In: Applied Artificial Intelligence, Vol. 39, No. 1, Pages 1-48, Taylor & Francis, 2025.

  3. Vinit Hegiste; Snehal Walunj; Jibinraj Antony; Tatjana Legler; Martin Ruskowski

    Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques

    In: 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR). International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR-2024), May 14-15, Muscat, Oman, Pages 1-6, ISBN 979-8-3503-4863-7, IEEE, 2024.

  4. Busra Sebin; Nazim Taskin; Nijat Mehdiyev

    Exploring the Intersection of Large Language Models (LLMs) and Explainable AI (XAI): A Systematic Literature Review (Research-in-Progress)

    In: Lech Janczewski; Galal H. Galal-Edeen; Barbara Krumay (Hrsg.). Proceedings of 2024 International Conference on Information Resources Management. International Conference on Information Resources Management (Conf-IRM-2024), May 26-28, Cairo, Egypt, ISBN 978-0-473-71035-4, AIS Electronic Library (AISeL), 2024.

  5. Hans Hohenfeld; Dirk Heimann; Felix Wiebe; Frank Kirchner

    Quantum Deep Reinforcement Learning for Robot Navigation Tasks

    In: IEEE Access (IEEE), Vol. n.n. Pages 1-1, IEEE, 6/2024.

  6. Hasan Md Tusfiqur Alam; Devansh Srivastav; Md Abdul Kadir; Daniel Sonntag

    Towards Interpretable Radiology Report Generation via Concept Bottlenecks Using a Multi-agentic RAG

    In: Claudia Hauff; Craig Macdonald; Dietmar Jannach; Gabriella Kazai; Franco Maria Nardini; Fabio Pinelli; Fabrizio Silvestri; Nicola Tonellotto (Hrsg.). Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III. European Conference on Information Retrieval (ECIR-2025), 47th European Conference on Information Retrieval, located at ECIR 2025, April 6-10, Lucca, Italy, Pages 201-209, Lecture Notes in Computer Science, Vol. 15574, Springer, 4/2025.

  7. Alexander Schultheis

    Exploring a Hybrid Case-Based Reasoning Approach for Time Series Adaptation in Predictive Maintenance

    In: Lukas Malburg (Hrsg.). Proceedings of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024). International Conference on Case-Based Reasoning (ICCBR-2024), co-located with the 31st International Conference on Case-Based Reasoning (ICCBR 2024), located at 31st International Conference on Case-Based Reasoning (ICCBR 2024), July 1-5, Merida, Mexico, CEUR Workshop Proceedings, CEUR-WS.org. 7/2024.

  8. Miro Miranda Lorenz; Francisco Mena; Andreas Dengel

    An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks

    In: IDA 2025. International Symposium on Intelligent Data Analysis (IDA-2025), May 7-9, Konstanz, Germany, Springer, 5/2025.

  9. Duway Nicolas Lesmes Leon; Miro Miranda Lorenz; Maria Caroprese; Gillian Lovell; Andreas Dengel; Sheraz Ahmed

    Synthesizing Annotated Cell Microscopy Images with Generative Adversarial Networks

    In: Proceedings of the 17th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-2025), 17th, located at ICAART-2025, February 23-25, Porto, Portugal, Pages 592-599, Vol. 3, ISBN 978-989-758-737-5, SciTePress, 2025.

  10. N. Bohlinger; G. Czechmanowski; M. Krupka; P. Kicki; K. Walas; Jan Peters; D. Tateo

    One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion

    In: CoRL 2024 Workshop on Morphology-Aware Policy and Design Learning Workshop. Conference on Robot Learning (CoRL-2024), CoRL, 2024.

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