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Jahr: 2023
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  1. Atanas Poibrenski; Farzad Nozarian; Farzaneh Rezaeianaran; Christian Müller

    Uncertainty-aware pseudo labels for domain adaptation in pedestrian trajectory prediction

    In: IEEE ITSC-2023. IEEE Intelligent Transportation Systems Conference (IEEE ITSC-2023), September 24-28, Bilbao, Spain, IEEExplore, 2023.

  2. Antonio Kruger Mansi Sharma

    Unraveling the Connection: How Cognitive Workload Shapes Intent Recognition in Robot-Assisted Surgery

    In: 2023 IEEE Conference on Systems, Man, and Cybernetics. IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 1-4, Oahu, …

  3. Konstantin Kuznetsov; Michael Barz; Daniel Sonntag

    Detection of Contract Cheating in Pen-and-Paper Exams through the Analysis of Handwriting Style

    In: Companion Publication of the 25th International Conference on Multimodal Interaction. ACM International Conference on Multimodal Interaction …

  4. Vera Hagemann; Michèle Rieth; Amrita Suresh; Frank Kirchner

    Human-AI Teams-Challenges for a Team-Centered AI at Work

    In: Frontiers in Artificial Intelligence, Vol. 6, Pages 1-6, Frontiers, 9/2023.

  5. Melya Boukheddimi; Rohit Kumar; Shivesh Kumar; Carpentier Justin; Frank Kirchner

    Investigations into Exploiting the Full Capabilities of a Series-Parallel Hybrid Humanoid using Whole Body Trajectory Optimization

    In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and …

  6. 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 …

  7. 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, …

  8. 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.

  9. 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 …

  10. 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.

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