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Jahr: 2022
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  1. Lasse Thostrup; Jan Skrzypczak; Matthias Jasny; Tobias Ziegler; Carsten Binnig

    DFI: The Data Flow Interface for High-Speed Networks

    In: SIGMOD Record, Vol. 51, No. 1, Pages 15-22, Association for Computing Machinery (ACM), 2022.

  2. Alberto Lerner; Matthias Jasny; Theo Jepsen; Carsten Binnig; Philippe Cudré-Mauroux

    DBMS Annihilator: A High-Performance Database Workload Generator in Action

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 15, No. 12, Pages 3682-3685, Association for Computing Machinery (ACM), 2022.

  3. Marius Gassen; Benjamin Hättasch; Benjamin Hilprecht; Nadja Geisler; Alexander Fraser; Carsten Binnig

    Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 15, No. 12, Pages 3586-3589, Association for Computing Machinery (ACM), 2022.

  4. Benjamin Hilprecht; Carsten Binnig

    Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 15, No. 11, Pages 2361-2374, Association for Computing Machinery (ACM), 2022.

  5. Benjamin Hilprecht; Carsten Binnig

    One Model to Rule them All: Towards Zero-Shot Learning for Databases

    In: 12th Conference on Innovative Data Systems Research, CIDR 2022. Conference on Innovative Data Systems Research (CIDR-2022), January 9-12, …

  6. Sungho Suh; Sojeong Cheon; Wonseo Choi; Yeon Woong Chung; Won-Kyung Cho; Ji-Sun Paik; Sung Eun Kim; Dong-Jin Chang; Yong Oh Lee

    Supervised segmentation with domain adaptation for small sampled orbital CT images

    In: Journal of Computational Design and Engineering (JCDE), Vol. 9, No. 2, Pages 783-792, Oxford University Press, 4/2022.

  7. Thomas Stauner; Frédérik Blank; David Michael Fürst; Johannes Günther; Korbinian Hagn; Philipp Heidenreich; Markus Huber; Bastian Knerr; Thomas Schulik; Karl-Ferdinand Leiß

    SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes

    In: Proceedings of the 6th ACM Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2022), ACM, 12/2022.

  8. Nijat Mehdiyev; Lea Götz; Johannes Lahann; Peter Fettke

    Deep learning-based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium‐sized enterprises

    In: Expert Systems (EXSY), Vol. 39, Pages 1-24, Wiley, 2022.

  9. Mirella Hladký

    What’s so funny about shame? Functions of smiling and laughing in the context of shame – a mixed method approach

    Mastersthesis, FernUniversität Hagen, 2022.

  10. Muhammad Ahmed Ullah Khan; Danish Nazir; Alain Pagani; Hamam Mokayed; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

    A Comprehensive Survey of Depth Completion Approaches

    In: Sensors - Open Access Journal (Sensors), Vol. 22, No. 18, Pages 1-18, MDPI, 9/2022.

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