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Publications

Displaying results 221 to 230 of 14740.

  1. Sheikh Faisal Rashid; Nghia Duong-Trung; Niels Pinkwart

    Generative AI in Education: Technical Foundations, Applications, and Challenges

    In: Seifedine Kadry (Hrsg.). Artificial Intelligence and Education. Chapter 2, Pages 1-22, IntechOpen, Rijeka, 5/2024.

  2. Berit Blanc; Lutz Goertz; Insa Reichow; Katja Buntins; Monika Hochbauer; Sheikh Faisal Rashid

    Die Zukunft der beruflichen Weiterbildung. Szenarien und Handlungsempfehlungen für einen innovativen, digitalen Weiterbildungsraum 2035. Ein Dossier im Rahmen des Innnovationswettbewerbs INVITE

    Pages 1-37, www.pedocs.de/volltexte/2025/32740/pdf/Bla, 3/2025.

  3. 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.

  4. 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.

  5. 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.

  6. Ho Minh Duy Nguyen; Nina Lukashina; Tai Nguyen; An T. Le; TrungTin Nguyen; Nhat Ho; Jan Peters; Daniel Sonntag; Viktor Zaverkin; Mathias Niepert

    Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks

    In: Proceedings of the 41st International Conference on Machine Learning. International Conference on Machine Learning (ICML), July 21-27, Austria, JMLR.org, 2024.

  7. Maciej Szelążek; Dan Hudson; Szymon Bobek; Grzegorz J. Nalepa; Martin Atzmueller

    Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery

    In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA). International Conference on Data Science and Advanced Analytics (DSAA-2023), October 9-13, Thessaloniki, Greece, Pages 1-11, IEEE, 11/2023.

  8. Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller

    Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches

    In: International Journal of Data Science and Analytics, Vol. 18, No. 2, Pages 157-174, Springer, 2024.

  9. Jurgen van den Hoogen; Dan Hudson; Stefan Bloemheuvel; Martin Atzmueller

    Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study

    In: International Journal of Data Science and Analytics, Pages 1-22, Springer, 2023.

  10. Eric Lanfer; Sophia Sylvester; Nils Aschenbruck; Martin Atzmueller

    Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets

    In: Eyuphan Bulut; Florian Tschorsch; Kanchana Thilakarathna (Hrsg.). Proceedings of the 48th IEEE Conference on Local Computer Networks - LCN 2023. IEEE Conference on Local Computer Networks (LCN-2023), October 1-5, Daytona Beach, FL, USA, Pages 1-4, IEEE Xplore, 2023.

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