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Publications

Displaying results 131 to 140 of 581.

  1. Md Abdul Kadir; Amir Mosavi; Daniel Sonntag

    Evaluation Metrics for XAI: A Review, Taxonomy, and Practical Applications

    In: 2023 IEEE 27th International Conference on Intelligent Engineering Systems (INES). Conference on Intelligent Engineering Systems (INES-2023), July 26-28, Nairobi, Kenya, Pages 000111-000124, IEEE, 2023.

  2. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Towards learning a partitioning advisor with deep reinforcement learning

    In: Rajesh Bordawekar; Oded Shmueli (Hrsg.). Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM-2019), aiDM@SIGMOD, July 5, Amsterdam, Netherlands, Pages 6:1-6:4, ACM, 2019.

  3. Abdallah Salama; Alexander Linke; Igor Pessoa Rocha; Carsten Binnig

    XAI: A Middleware for Scalable AI

    In: Slimane Hammoudi; Christoph Quix; Jorge Bernardino (Hrsg.). Proceedings of the 8th International Conference on Data Science, Technology and Applications. International Conference on Data Science, Technology and Applications (DATA-2019), July 26-28, Prague, Czech Republic, Pages 109-120, SciTePress, 2019.

  4. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Learning a Partitioning Advisor with Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1904.01279, Pages 0-10, arXiv, 2019.

  5. Prasetya Utama; Nathaniel Weir; Fuat Basik; Carsten Binnig; Ugur Çetintemel; Benjamin Hättasch; Amir Ilkhechi; Shekar Ramaswamy; Arif Usta

    An End-to-end Neural Natural Language Interface for Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1804.00401, Pages 0-10, arXiv, 2018.

  6. Nathaniel Weir; Andrew Crotty; Alex Galakatos; Amir Ilkhechi; Shekar Ramaswamy; Rohin Bhushan; Ugur Çetintemel; Prasetya Utama; Nadja Geisler; Benjamin Hättasch; Steffen Eger; Carsten Binnig

    DBPal: Weak Supervision for Learning a Natural Language Interface to Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1909.06182, Pages 0-10, arXiv, 2019.

  7. Nathaniel Weir; Prasetya Utama; Alex Galakatos; Andrew Crotty; Amir Ilkhechi; Shekar Ramaswamy; Rohin Bhushan; Nadja Geisler; Benjamin Hättasch; Steffen Eger; Ugur Çetintemel; Carsten Binnig

    DBPal: A Fully Pluggable NL2SQL Training Pipeline

    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 2347-2361, ACM, 2020.

  8. Elnaz Azmi; Khadijeh Alibabaei; Valentin Kozlov; Tjerk Krijger; Gabriele Accarino; Igor Ruiz Atake; Sakina-Dorothée Ayata; Amanda Calatrava; Marco Mariano De Carlo; Wout Decrop; Donatello Elia; Sandro Luigi Fiore; Marco Francescangeli; Jesús Soriano-González; Jean-Olivier Irisson; Martin Laviale; Rune Lagaisse; Antoine Lebeaud; Carolin Leluschko; Germán Moltó; Antonio Augusto Sepp Neves; Enoc Martinez; Damian Smyth; Muhammad Arabi Tayyab; Vanessa Tosello; Alvaro Lopez Garcia; Dick Schaap; Gergely Sipos

    Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study

    In: Ecological Informatics, Vol. 90, Pages 1-37, Elsevier, Amsterdam, 7/2025.

  9. David Dembinsky; Adriano Lucieri; Stanislav Frolov; Hiba Najjar; Ko Watanabe; Andreas Dengel

    Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI

    In: Transactions on Machine Learning Research (TMLR), 2025.

  10. Miro Miranda Lorenz; Francisco Mena; Andreas Dengel

    An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks

    In: IDA 2025. International Symposium on Intelligent Data Analysis (IDA-2025), May 7-9, Konstanz, Germany, Springer, 5/2025.

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