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Publications

Displaying results 1131 to 1140 of 15207.

  1. Alexander Schultheis; Christian Zeyen; Ralph Bergmann

    An Overview and Comparison of Case-Based Reasoning Frameworks

    In: Case-Based Reasoning Research and Development - 31st International Conference, ICCBR 2023, Aberdeen, Scotland, July 17-20, 2023, Proceedings. International Conference on Case-Based Reasoning (ICCBR-2023), July 17-20, Aberdeen, United Kingdom, Pages 327-343, Lecture Notes in Computer Science, Vol. 14141, Springer, 7/2023.

  2. Martha Schnieber; Rolf Drechsler

    Polynomial Formal Verification of KFDD Circuits

    In: 21st ACM-IEEE International Symposium on Formal Methods and Models for System Design. ACM-IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE-2023), September 21-22, Hamburg, Germany, 2023.

  3. Sajjad Parvin; Chandan Kumar Jha; Sallar Ahmadi-Pour; Frank Sill Torres; Rolf Drechsler

    Hidden in Plain Sight: A Detailed Investigation of Selectively Increasing Local Density to Camouflage and Robustify Against Optical Probing Attacks

    In: 7th IEEE International Test Conference India 2023 - Proceedings. IEEE International Test Conference India (ITC India-2023), July 23-25, Bangalore, India, 2023.

  4. Lisa Grewenig; Ralph Bergmann

    A Case-Based Approach for Workflow Flexibility by Deviation

    In: Stewart Massie; Sutanu Chakraborti (Hrsg.). Case-Based Reasoning Research and Development - 31st International Conference, ICCBR 2023, Aberdeen, UK, July 17–20, 2023, Proceedings. International Conference on Case-Based Reasoning (ICCBR-2023), July 17-20, Aberdeen, United Kingdom, ISBN 978-3-031-40176-3, Springer, 2023.

  5. Niklas Funk; Georgia Chalvatzaki; Boris Belousov; Jan Peters

    Learn2assemble with structured representations and search for robotic architectural construction

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, London, United Kingdom, Pages 1401-1411, Proceedings of Machine Learning Research (PMLR), Vol. 164, PMLR, 2022.

  6. Nijat Mehdiyev; Peter Fettke

    Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing

    In: ECIS 2021 - 29th European Conference on Information System. European Conference on Information Systems (ECIS-2021), 29th, June 14-16, Marrakech, Morocco, 2021.

  7. Nijat Mehdiyev; Peter Fettke

    Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring

    In: Witold Pedrycz; Shyi-Ming Chen (Hrsg.). Interpretable Artificial Intelligence: A Perspective of Granular Computing. Chapter 1, Pages 1-28, Vol. 937, ISBN 9783030649487, Springer, 2021.

  8. Adrian Rebmann; Peter Fettke; Jana-Rebecca Rehse; Mira Pinter; Marius Schnaubelt; Kevin Daun

    IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response

    In: Dirk Fahland; Chiara Ghidini; Jörg Becker; Marlon Dumas (Hrsg.). International Conference on Business Process Management. Business Process Management (BPM-2020), 18th International Conference on Business Process Management, September 13-18, Seville, Spain, Pages 71-87, Vol. 392, ISBN 978-3-030-58637-9 (Print); 978-3-030-58638-6 (Online), Springer, 9/2020.

  9. Nijat Mehdiyev; Peter Fettke

    Prescriptive process analytics with deep learning and explainable artificial intelligence

    In: Twenty-Eighth European Conference on Information Systems (ECIS2020) - A Virtual AIS Conference. European Conference on Information Systems (ECIS-2020), 28th, June 15, Marrakech, Morocco, AISeL, 6/2020.

  10. Peter Fettke

    Der TaxTech-Würfel und das TaxTech-Haus zur digitalen Transformation der Steuerfunktion

    In: Carmen Bachmann; Peter H. J. Essers; Andreas Hoyer; Robert Risse; Roman Seer (Hrsg.). Tax & Legal Excellence (TLE), Vol. 4, Page 1, TLE, 2/2020.

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