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Publications

Displaying results 581 to 590 of 13737.

  1. Weiyan Zhang; Muhammad Hassan; Rolf Drechsler

    LLM-assisted Methodology for Embedded Software Performance Estimation on RISC-V

    In: RISC-V Summit Europe. RISC-V Summit Europe, May 12-15, Paris, France, 2025.

  2. Philipp Peter Engler; Ludger van Elst; Andreas Dengel; Sheraz Ahmed

    Time Series Generation for Augmenting Multi-Channel Automotive Audio Data

    In: Lecture Notes in Computer Science. International Conference on Artificial Neural Networks (ICANN-2025), 34th International Conference on Artificial Neural Networks, September 9-12, Kaunas, Lithuania, Springer, 2025.

  3. Daniel Geißler; Mengxi Liu; Bo Zhou; Sungho Suh; Paul Lukowicz

    Spend More to Save More (SM2): An Energy and Hardware-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization

    In: Architecture of Computing Systems. International Conference on Architecture of Computing Systems (ARCS), Springer Nature Link, 2025.

  4. Dennis Salzmann; Florian Herrmann; Christoph Fischer; Hans Dieter Schotten

    Evaluating and Integrating Positioning Technologies: A Framework for Industrial Applications

    In: 2025 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE/ION Position, Location and Navigation Symposium (IEEE/ION PLANS-2025), April 28 - May 1, Salt Lake City, UT, USA, Pages 756-767, Institute of Electrical and Electronics Engineers (IEEE), in collaboration with ION (The Institute of Navigation), 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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