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Publications

Displaying results 441 to 450 of 682.
  1. Benjamin Paaßen; Irena Koprinska; Kalina Yacef

    Recursive tree grammar autoencoders

    In: Peggy Cellier; Krzysztof Dembczynski; Albrecht Zimmermann; Emilie Devijver (Hrsg.). Machine Learning, Vol. Special Issue of the ECML PKDD 2022 Journal Track, Pages 1-31, Springer, 2022.

  2. Improving Automated Hyperparameter Optimization with Case-Based Reasoning

    In: Mark T. Keane; Nirmalie Wiratunga (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR), Springer, Cham, 2022.

  3. ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks

    In: Andrea Marrella; Barbara Weber (Hrsg.). Business Process Management Workshops. Business Process Management (BPM), Springer, 2021.

  4. Viktor Eisenstadt; Jessica Bielski; Burak Mete; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

    Autocompletion of Floor Plans for the Early Design Phase in Architecture: Foundations, Existing Methods, and Research Outlook

    In: POST-CARBON - Proceedings of the 27th CAADRIA Conference. International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA-2022), Pages 323-332, CUMINCAD, 2022.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Lauren Michelle Pfeifer; Matias Valdenegro-Toro

    Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning

    In: Workshop: LXAI Research @ NeurIPS 2020. LatinX in AI Research Workshop (LXAI-2020), located at NeurIPS2020, December 7, Virtual, Keine, 2020.