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Publications

Displaying results 951 to 960 of 13714.

  1. Mengxi Liu; Sizhen Bian; Bo Zhou; Agnes Grünerbl; Paul Lukowicz

    Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection

    In: UbiComp/ISWC '22 Adjunct: Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers. ACM International Symposium on Wearable Computers (ISWC-2022), ACM, 2023.

  2. Mengxi Liu; Sizhen Bian; Paul Lukowicz

    Non-contact, real-time eye blink detection with capacitive sensing

    In: ISWC '22: Proceedings of the 2022 ACM International Symposium on Wearable Computers. ACM International Symposium on Wearable Computers (ISWC-2022), September 11-15, Cambridge, United Kingdom, ACM, 2023.

  3. 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.

  4. Mengxi Liu; Sungho Suh; Bo Zhou; Agnes Grünerbl; Paul Lukowicz

    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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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