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Publications

Displaying results 161 to 170 of 670.

  1. Raúl Domínguez; Mariela De Lucas Alvarez; Siddhant Kadwe; Christoph Hertzberg; Siddhant Shete; Leon Cedric Danter; Marko Jankovik; Shubham Vyas; Jonas Eisenmenger; Pierre Willenbrock; André Felmet; Vikram Unnithan; Frank Kirchner

    PerSim: Perception for Planetary Prospection and Internal Simulation

    In: 17th Symposium on Advanced Space Technologies in Robotics and Automation. ESA/Estec Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA-2023), October 18-20, Leiden, Netherlands, ASTRA Proceedings, Noordwijk The Netherlands, 2023.

  2. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Learning a Partitioning Advisor for Cloud Databases

    In: David Maier; Rachel Pottinger; AnHai Doan; Wang-Chiew Tan; Abdussalam Alawini; Hung Q. Ngo (Hrsg.). Proceedings of the 2020 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020), June 14-19, Pages 143-157, ACM, 2020.

  3. Benjamin Hilprecht; Carsten Binnig; Tiemo Bang; Muhammad El-Hindi; Benjamin Hättasch; Aditya Khanna; Robin Rehrmann; Uwe Röhm; Andreas Schmidt; Lasse Thostrup; Tobias Ziegler

    DBMS Fitting: Why should we learn what we already know?

    In: 10th Conference on Innovative Data Systems Research. Conference on Innovative Data Systems Research (CIDR-2020), January 12-15, Amsterdam, Netherlands, www.cidrdb.org, 2020.

  4. Benjamin Hilprecht; Andreas Schmidt; Moritz Kulessa; Alejandro Molina; Kristian Kersting; Carsten Binnig

    DeepDB: Learn from Data, not from Queries!

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 7, Pages 992-1005, Association for Computing Machinery (ACM), 2020.

  5. Muhammad El-Hindi; Zheguang Zhao; Carsten Binnig

    Towards Decentralized Parameter Servers for Secure Federated Learning

    In: Alfredo Cuzzocrea; Oleg Gusikhin; Wil M. P. van der Aalst; Slimane Hammoudi (Hrsg.). Proceedings of the 11th International Conference on Data Science, Technology and Applications. International Conference on Data Science, Technology and Applications (DATA-2022), July 11-13, Lisbon, Portugal, Pages 257-269, SCITEPRESS, 2022.

  6. Benjamin Hilprecht; Kristian Kersting; Carsten Binnig

    SPARE: A Single-Pass Neural Model for Relational Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.13581, Pages 0-10, arXiv, 2023.

  7. Hyungmin Kim; Sungho Suh; Daehwan Kim; Daun Jeong; Hansang Cho; Junmo Kim

    Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery

    In: IEEE/CVF International Conference on Computer Vision. International Conference on Computer Vision (ICCV-2023), October 2-5, Paris, France, IEEE/CVF, 10/2023.

  8. Lala Ray; Bo Zhou; Sungho Suh; Paul Lukowicz

    PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation

    In: IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE International Conference on Pervasive Computing and Communications (PerCom-2023), March 13-17, Atlanta, USA, IEEE, 3/2023.

  9. Sungho Suh; Vitor Fortes Rey; Paul Lukowicz

    TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation

    In: Knowledge-Based Systems (KBS), Vol. 260, Page 110143, Elsevier, 1/2023.

  10. 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.

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