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Publications

Displaying results 681 to 690 of 15214.

  1. Kanta Yamaoka; Ko Watanabe; Koichi Kise; Andreas Dengel; Shoya Ishimaru

    Img2Vocab: Explore Words Tied to Your Life With LLMs and Social Media Images

    In: IEEE Access (IEEE), Vol. 13, Pages 20456-20471, IEEE, 2025.

  2. Al-Harith Farhad; Khalil Abuibaid; Christiane Plociennik; Achim Wagner; Martin Ruskowski

    Generative Grasp Detection and Estimation with Concept Learning-Based Safety Criteria

    In: Kosta Jovanovic; Aleksandar Rodic; Mirko Rakovic (Hrsg.). Advances in Service and Industrial Robotics. International Conference on Robotics in Alpe-Adria-Danube Region (RAAD-2025), Cham, Pages 541-550, ISBN 978-3-032-02106-9, Springer Nature Switzerland, 2025.

  3. Eike Rodenbäck; Christoph Manss; Janina Schneider; Frederic Theodor Stahl

    Evaluation of Aquatic Plant Detection with Remote Sensing using Onboard Camera

    In: 2025 13th European Workshop on Visual Information Processing (EUVIP). European Workshop on Visual Information Processing (EUVIP-2025), October 13-16, Valetta, Malta, IEEE Xplore, New Jersey, 12/2025.

  4. 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.

  5. Nicolò Parmiggiani; Andrea Bulgarelli; Alessandro Ursi; Antonio Macaluso; Ambra Di Piano; Valentina Fioretti; Alessio Aboudan; Leonardo Baroncelli; Antonio Addis; Marco Tavani; Carlotta Pittori

    A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System

    In: The Astrophysical Journal (ApJ), Vol. 945, No. 2, Pages 1-12, IOP, 3/2023.

  6. Muhammad Ali Chattha; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting

    In: Springer (Hrsg.). Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting. International Conference on Artificial Neural Networks (ICANN), September 26-30, Crete, Greece, Vol. 14259, Springer, 2023.

  7. Muhammad Ali Chattha; Ludger van Elst; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    DeepLSF: Fusing Knowledge and Data for Time Series Forecasting

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. NA, Page NA, IEEE, 2023.

  8. Jan Ehrhardt; Heinz Handels

    Implicitly Solved Regularization for Learning-Based Image Registration

    In: Xiaohuan Cao; Xuanang Xu; Islem Rekik; Zhiming Cui; Xi Ouyang (Hrsg.). Machine Learning in Medical Imaging. International Workshop on Machine Learning in Medical Imaging (MLMI-2023), located at International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), October 8, Vancouver, Canada, Pages 137-146, Lecture Notes in Computer Science (LNCS), Vol. 14348, ISBN 978-3-031-45673-2, Springer Nature Switzerland, 2024.

  9. Luc De Raedt; Angelika Kimmig; Bernd Gutmann; Kristian Kersting; Vítor Santos Costa; Hannu Toivonen

    Probabilistic Inductive Querying Using ProbLog

    In: Saso Dzeroski; Bart Goethals; Pance Panov (Hrsg.). Inductive Databases and Constraint-Based Data Mining. Pages 229-262, Springer, 2010.

  10. Kristian Kersting; Mirwaes Wahabzada; Christian Thurau; Christian Bauckhage

    Hierarchical Convex NMF for Clustering Massive Data

    In: Masashi Sugiyama; Qiang Yang (Hrsg.). Proceedings of the 2nd Asian Conference on Machine Learning. Asian Conference on Machine Learning (ACML-2010), November 8-10, Tokyo, Japan, Pages 253-268, JMLR Proceedings, Vol. 13, JMLR.org, 2010.

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