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Publications

Displaying results 351 to 360 of 666.

  1. Nijat Mehdiyev

    Explainable Process Predictions (xPP): A Holistic Framework and Applications

    In: Claudio Di Ciccio; Benoît Depaire; Jochen De Weerdt; Chiara Di Francescomarino; Jorge Munoz-Gama (Hrsg.). ICPM 2020. International Conference on Process Mining (ICPM-2020), 2nd, October 4-9, Padua, Italy, Pages 17-18, Vol. 2703, CEUR, 2020.

  2. 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.

  3. 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.

  4. Abdul Rafey Aftab; Michael von der Beeck; Michael Feld

    You Have a Point There: Object Selection Inside an Automobile Using Gaze, Head Pose and Finger Pointing

    In: ICMI '20: Proceedings of the 2020 International Conference on Multimodal Interaction. ACM International Conference on Multimodal Interaction (ICMI-2020), October 25-29, Utrecht, Netherlands, Pages 595-603, ISBN 978-1-4503-7581-8/20/10, ACM, 9/2020.

  5. Peter Fettke; Robert Risse; Fritz Esterer

    Anwendungspotentiale von Deep Learning im Process Mining in der Steuerabteilung am Beispiel von Henkel

    In: IM+io, Vol. 4, Pages 84-89, AWSI Publishing, 12/2017.

  6. Ho Minh Duy Nguyen; Duy M. Nguyen; Huong Vu; Binh T. Nguyen; Fabrizio Nunnari; Daniel Sonntag

    An Attention Mechanism using Multiple Knowledge Sources for COVID-19 Detection from CT Images

    In: The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). AAAI Conference on Artificial Intelligence (AAAI), Workshop on Trustworthy AI for Healthcare, February 2-9, Vancouver, BC, Canada, AAAI, 2021.

  7. Peter Hevesi; Ramprasad Chinnaswamy Devaraj; Matthias Tschöpe; Oliver Petter; Janis Nikolaus Elfert; Vitor Fortes Rey; Marco Hirsch; Paul Lukowicz

    Towards Construction Progress Estimation Based on Images Captured on Site

    In: EAI IndustrialIoT 2020 - 4th EAI International Conference on Industrial IoT Technologies and Applications. EAI International Conference on Industrial IoT Technologies and Applications (EAI IndustrialIoT-2020), December 11, Online-Conference, Springer, 2020.

  8. Rishav Rishav; Ramy Battrawy; René Schuster; Oliver Wasenmüller; Didier Stricker

    DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR

    In: International conference in robotics and intelligent systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020), October 25-29, Las Vegas, NV, United States Minor Outlying Islands, IEEE, 10/2020.

  9. Tushar Karayil; Philipp Blandfort; Jörn Hees; Andreas Dengel

    The Focus--Aspect--Value model for predicting subjective visual attributes

    In: International Journal of Multimedia Information Retrieval (IJMR), Vol. 9, No. 1, Pages 47-60, Springer, 2020.

  10. Tushar Karayil

    Affective Image Captioning: Extraction and Semantic Arrangement of Image Information with Deep Neural Networks

    PhD-Thesis, TU Kaiserslautern, kluedo, 6/2020.

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