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Publikationen

Zeige Ergebnisse 1221 bis 1230 von 13716.
  1. Mengxi Liu; Bo Zhou; Zimin Zhao; Hyeonseok Hong; Hyun Kim; Sungho Suh; Vitor Fortes Rey; Paul Lukowicz

    FieldHAR: A Fully Integrated End-to-End RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors

    In: 2023 IEEE 34th International Conference on Application-specific Systems, Architectures and Processors (ASAP). Annual IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP-2023), July 19-21, Porto, Portugal, IEEE, 2023.

  2. Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition

    In: ACM International Symposium on Wearable Computers. ACM International Symposium on Wearable Computers (ISWC-2022), located at UbiComp/ISWC '22 Adjunct, September 11-15, Cambridge, United Kingdom, United Kingdom, Pages 356-363, ISBN 978-1-4503-9423-9, Association for Computing Machinery, New York,NY,United States, 4/2023.

  3. Matteo Antonio Inajetovic; Filippo Orazi; Antonio Macaluso; Stefano Lodi; Claudio Sartori

    Enabling Non-linear Quantum Operations Through Variational Quantum Splines

    In: CCS 2023 Conference Proceedings. International Conference on Computational Science (ICCS-2023), July 3-5, Prague, Czech Republic, Pages 177-192, Vol. 10477, ISBN 978-3-031-36030-5, Springer, 7/2023.

  4. 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.

  5. 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.

  6. 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.

  7. Ho Minh Duy Nguyen; Hoang Nguyen; Nghiem T. Diep; Tan Pham; Tri Cao; Binh T. Nguyen; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert

    LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

    In: The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Neural Information Processing Systems (NeurIPS), December 10-16, USA, Advances in Neural Information Processing Systems, 12/2023.

  8. Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. CVPR Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3D-IVU-2023), located at 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 19, Vancouver, Canada, Pages 4981-4990, IEEE, 6/2023.

  9. Appearance-Based Gaze Estimation with Deep Neural Networks: From Data Collection to Evaluation

    In: International Journal of Activity and Behavior Computing, Vol. 2024, No. Issue 1, Pages 1-15, J-STAGE, 2023.

  10. Agnes Grünerbl; Kai Kunze; Thomas Lachmann; Jamie A Ward; Paul Lukowicz

    Ubicomp Tutorial - UbiCHAI - Experimental Methodologies for Cognitive Human Augmentation

    In: ISWC '23: Proceedings of the 2023 ACM International Symposium on Wearable Computers. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2023), UbiComp/ISWC '23, October 8-12, Cancun, Mexico, ISBN 979-8-4007-0199-3, ACM, 10/2023.