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Year: 2022
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Displaying results 1 to 10 of 81.

  1. Xiaoqi Li; Haoyuan Chen; Chen Li; Md Mamunur Rahaman; Xintong Li; Jian Wu; Xiaoyan Li; Hongzan Sun; Marcin Grzegorzek

    What can machine vision do for lymphatic histopathology image analysis: A comprehensive review

    In: ArXiv e-prints (arxiv), Vol. 2201.08550, arXiv, 2022.

  2. Karlheinz Steinmüller; Aljoscha Burchardt; Kai Gondlach; Heiko von der Gracht; Stefanie Kisgen; Kai Ellermann; Melanie Martini; Marcus John

    Kann Künstliche Intelligenz Zukunftsforschung? – Ein spekulativer Impuls

    In: Zeitschrift für Zukunftsforschung, Vol. 2022, No. 1, Pages 4-26, Zeitschrift für Zukunftsforschung e.V. 2022.

  3. André Zenner

    Advancing Proxy-Based Haptic Feedback in Virtual Reality

    PhD-Thesis, Universität des Saarlandes, 2022.

  4. Mirko Lenz; Lorik Dumani; Premtim Sahitaj

    Comparing Unsupervised Algorithms to Construct Argument Graphs

    In: Joint Proceedings of Workshops, Tutorials and Doctoral Consortium. German Conference on Artificial Intelligence (KI-2022), located at 45th German …

  5. Mirko Lenz; Ralph Bergmann

    User-Centric Argument Mining with ArgueMapper and Arguebuf

    In: Computational Models of Argument. International Conference on Computational Models of Argument (COMMA-2022), September 14-16, Cardiff, United …

  6. Björn Deiseroth; Patrick Schramowski; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2208.13518, Pages 0-10, arXiv, 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. Tobias Ziegler; Dwarakanandan Bindiganavile Mohan; Viktor Leis; Carsten Binnig

    EFA: A Viable Alternative to RDMA over InfiniBand for DBMSs?

    In: Spyros Blanas; Norman May (Hrsg.). International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data …

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