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Publikationen

Zeige Ergebnisse 891 bis 900 von 14584.

  1. Liane Vogel; Jan-Micha Bodensohn; Carsten Binnig

    WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

    In: A. Globerson; L. Mackey; D. Belgrave; A. Fan; U. Paquet; J. Tomczak; C. Zhang (Hrsg.). Advances in Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Pages 41186-41201, Vol. 37, Curran Associates, Inc. 2024.

  2. Lawrence Benson; Carsten Binnig; Jan-Micha Bodensohn; Federico Lorenzi; Jigao Luo; Danica Porobic; Tilmann Rabl; Anupam Sanghi; Russell Sears; Pinar Tözün; Tobias Ziegler

    Surprise Benchmarking: The Why, What, and How

    In: Proceedings of the Tenth International Workshop on Testing Database Systems, DBTest 2024, Santiago, Chile, 9 June 2024. International Workshop on Testing Database Systems (DBTest), Pages 1-8, ACM, 2024.

  3. Jan-Micha Bodensohn; Ulf Brackmann; Liane Vogel; Anupam Sanghi; Carsten Binnig

    Automating Enterprise Data Engineering with LLMs

    In: NeurIPS 2024 Third Table Representation Learning Workshop. Table Representation Learning Workshop (TRL), located at NeurIPS 2024, December 14, NeurIPS, 2024.

  4. Jan-Micha Bodensohn; Ulf Brackmann; Liane Vogel; Matthias Urban; Anupam Sanghi; Carsten Binnig

    LLMs for Data Engineering on Enterprise Data

    In: Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, VLDB 2024. International Workshop on Tabular Data Analysis (TaDA), VLDB.org, 2024.

  5. Jan-Micha Bodensohn; Carsten Binnig

    Rethinking Table Retrieval from Data Lakes

    In: Proceedings of the Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2024, Santiago, Chile, 14 June 2024. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), Pages 2:1-2:5, ACM, 2024.

  6. Cong Yang; Hua Zhou; Xun Liu; Yan Ke; Bo Gao; Marcin Grzegorzek; Zeyd Boukhers; Tao Chen; John See

    BladeView: Toward Automatic Wind Turbine Inspection With Unmanned Aerial Vehicle

    In: IEEE Transactions on Automation Science and Engineering, Vol. IEEE Transactions on Automation Science and Engineering, Pages 1-16, IEEE, 2024.

  7. Artur Piet; Johanna Geritz; Pascal Garcia; Mona Irsfeld; Frédéric Li; Xinyu Huang; Muhammad Tausif Irshad; Julius Welzel; Clint Hansen; Walter Maetzler; Marcin Grzegorzek; others

    Predicting executive functioning from walking features in Parkinson’s disease using machine learning

    In: Scientific Reports (Sci Rep), Vol. 14, No. 1, Pages 1-1, Nature Publishing Group UK London, 2024.

  8. Xinyu Huang; Franziska Schmelter; Annemarie Uhlig; Muhammad Tausif Irshad; Muhammad Adeel Nisar; Artur Piet; Lennart Jablonski; Oliver Witt; Torsten Schröder; Christian Sina; Marcin Grzegorzek

    Comparison of feature learning methods for non-invasive interstitial glucose prediction using wearable sensors in healthy cohorts: a pilot study

    In: Intelligent Medicine, Vol. 4, No. 4, Pages 226-238, Elsevier, 11/2024.

  9. Szymon Siecinski; Rafal Jan Doniec; Marcin Grzegorzek

    Linear classification of healthy people and patients with valvular heart diseases based on heart rate variability indices derived from electrocardiograms

    In: Jens Haueisen (Hrsg.). Current Directions in Biomedical Engineering (CDBME), Vol. 10, No. 4, Pages 587-590, De Gruyter, 2024.

  10. Chen Li; Yu-Dong Yao; Jiangwei Yan; Marcin Grzegorzek

    Artificial intelligence in forensic microbiology, volume II

    Pages 1-2, Vol. 15, Frontiers Media SA, 2024.

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