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Publications

Displaying results 1971 to 1980 of 14767.
  1. Jibinraj Antony; Dorotea Jalu¨ić; Simon Bergweiler; Ákos Hajnal; Veronika ´labravec; Márk Emődi; Dejan Strbad; Tatjana Legler; Attila Csaba Marosi

    Adapting to Changes: A Novel Framework for Continual Machine Learning in Industrial Applications

    In: Journal of Grid Computing, Vol. 22 (71), Pages 1-19, Springer, 11/2024.

  2. Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing

    In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-20, Valencia, Spain, Pages 55-62, IEEE, 2024.

  3. Seamless Integration: Sampling Strategies in Federated Learning Systems

    In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-20, Valencia, Spain, Pages 148-155, IEEE, 2024.

  4. Review on the Effects of Hypergravity on Workload and Fine Motor Skills in Humans.

    In: Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1. International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS-2025), located at BIOSTEC, February 20-22, Porto, Portugal, Pages 996-1001, ISBN 978-989-758-731-3, SciTePress, 2/2025.

  5. Judith Bütefür; Elsa Andrea Kirchner

    Preliminary Technical Test of Different Physiological Modalities to Detect Workload in Humans in Microgravity

    In: Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1. International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS-2025), located at BIOSTEC, February 20-22, Porto, Portugal, Pages 837-845, ISBN 978-989-758-731-3, SciTePress, 2025.

  6. Combining informed data-driven anomaly detection with knowledge graphs for root cause analysis in predictive maintenance

    In: Engineering Applications of Artificial Intelligence, Vol. 145, Page 110152, Elsevier, 2025.

  7. Sallar Ahmadi-Pour; Sangeet Saha; Klaus McDonald-Maier; Rolf Drechsler

    MESSI: Task Mapping and Scheduling Strategy for FPGA-based Heterogeneous Real-Time SystemsMESSI: Task Mapping and Scheduling Strategy for FPGA-based Heterogeneous Real-Time Systems

    In: ACM Transactions on Design Automation of Electronic Systems (TODAES), ACM, 2025.

  8. 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.

  9. Zhao Xu; Kristian Kersting; Thorsten Joachims

    Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes

    In: José L. Balcázar; Francesco Bonchi; Aristides Gionis; Michèle Sebag (Hrsg.). Machine Learning and Knowledge Discovery in Databases, European Conference. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2010), September 20-24, Barcelona, Spain, Pages 499-514, Lecture Notes in Computer Science, Vol. 6323, Springer, 2010.