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  1. Open Science Best Practices in Data Science and Artificial Intelligence

    In: York Sure-Vetter; Carole Goble (Hrsg.). Proceedings of the 1st Conference on Research Data Infrastructure (CoRDI 2023). Conference on Research …

  2. Manisha Luthra; Andreas Kipf; Matthias Böhm

    A Tutorial Workshop on ML for Systems and Systems for ML

    In: Birgitta König-Ries; Stefanie Scherzinger; Wolfgang Lehner; Gottfried Vossen. BTW 2023. Pages 707-708, ISBN 978-3-88579-725-8, Gesellschaft für …

  3. Mikhail Fomichev; Manisha Luthra; Maik Benndorf; Pratyush Agnihotri

    No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems

    In: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems. ACM International Conference on Distributed and …

  4. How Risky is Multimodal Fake News Detection? A Review of Cross-Modal Learning Approaches under EU AI Act Constrains

    In: Proc. 3rd Symposium on Security and Privacy in Speech Communication. Conference in the Annual Series of Interspeech Events (INTERSPEECH-2023), …

  5. Nicht mehr ins Leere greifen

    In: forschung - Das Magazin der Deutschen Forschungsgemeinschaft, Vol. 4/2023, Pages 22-25, Deutsche Forschungsgemeinschaft (DFG), 2023.

  6. 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. 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 …