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Publications

Displaying results 1571 to 1580 of 14802.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Kristian Kersting; Martin Mladenov; Roman Garnett; Martin Grohe

    Power Iterated Color Refinement

    In: Carla E. Brodley; Peter Stone (Hrsg.). Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2014), July 27-31, Québec City, Québec, Canada, Pages 1904-1910, AAAI Press, 2014.

  9. Seyed Mehran Kazemi; David Buchman; Kristian Kersting; Sriraam Natarajan; David Poole

    Relational Logistic Regression: The Directed Analog of Markov Logic Networks

    In: Statistical Relational Artificial Intelligence, Papers from the 2014 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2014), July 27, Québec City, Québec, Canada, AAAI Technical Report, Vol. WS-14-13, AAAI, 2014.

  10. Udi Apsel; Kristian Kersting; Martin Mladenov

    Lifting Relational MAP-LPs Using Cluster Signatures

    In: Carla E. Brodley; Peter Stone (Hrsg.). Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2014), July 27-31, Québec City, Québec, Canada, Pages 2403-2409, AAAI Press, 2014.

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