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Publications

Displaying results 1641 to 1650 of 14829.

  1. Thomas Vögele; Tim Tiedemann; Timo Lange; Philipp Meyer; Matthis Trost; Martin Wittmaier; Sebastian Wolff; Yuhan Jin; Yi-Ling Liu; Phillip Grote; Adrian Auer; Babu Ajish

    Sorting Bulky Waste with the Help of AI - the SmartRecycling Project

    In: Proceedings of the 7th International Symposium on Circular Economy and Urban Mining. International Symposium on Circular Economy and Urban Mining (SUM-2024), May 15-17, Capri, Italy, ISBN 9788862650403, EUROWASTE, Padova, Italy, 5/2024.

  2. Aleksandr Sidorenko; Mahdi Rezapour; Achim Wagner; Martin Ruskowski

    Towards Using Behavior Trees in Industrial Automation Controllers.

    In: Procedia CIRP. CIRP Conference on Manufactoring Systems (CIRP CMS-2024), located at 57th CIRP Conference on Manufacturing Systems 2024, May 29-31, Póvoa de Varzim, Portugal, Elsevier, 2024.

  3. Thomas Schmeyer; Jonas Mohr; Gerhard Sonnenberg; Margarita Chikobava; Andreas Luxenburger; Dieter Merkel; Alassane Ndiaye; Boris Brandherm; Sönke Knoch; Jens Findeisen; Steffen Manser; Francis Youmbi; Iven Beck

    Digital Twin for Efficient Operation of Heating Devices in Industrial Halls

    In: Proceedings of the 29th IEEE ETFA - IEEE International Conference on Emerging Technologies and Factory Automation. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2024), September 10-13, Padova, Italy, Pages 1-7, IEEE, 9/2024.

  4. Peter Fettke

    Fünf Visionen für den Einsatz künstlicher Intelligenz im Steuerbereich

    In: Stefan Groß (Hrsg.). REthinking Tax (RET), Vol. 03 2024, Pages 52-58, Fachmedien Otto Schmidt, Düsseldorf, 5/2024.

  5. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

    Counterfactual Explanations in the Big Picture: An Approach for Process Prediction-Driven Job-Shop Scheduling Optimization

    In: Cognitive Computation, Vol. 16, No. 5, Pages 2674-2700, Springer, 9/2024.

  6. Kamala Aliyeva; Nijat Mehdiyev

    Uncertainty-aware multi-criteria decision analysis for evaluation of explainable artificial intelligence methods: A use case from the healthcare domain

    In: Information Sciences, Vol. 657, Page 119987, Elsevier, 1/2024.

  7. Bernhard Vogginger; Amirhossein Rostami; Vaibhav Jain; Sirine Arfa; Andreas Hantsch; David Kappel; Michael Schäfer; Ulrike Faltings; Hector A. Gonzalez; Chen Liu; Christian Mayr; Wolfgang Maaß

    Neuromorphic hardware for sustainable AI data centers

    -, arXiv, 6/2024.

  8. Alexander Tornede; Difan Deng; Theresa Eimer; Joseph Giovanelli; Aditya Mohan; Tim Ruhkopf; Sarah Segel; Daphne Theodorakopoulos; Tanja Tornede; Henning Wachsmuth; Marius Lindauer

    AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks

    In: Cedric Archambeau (Hrsg.). Transactions on Machine Learning Research (TMLR), Vol. 02/2024, Pages 1-31, JMLR, 2/2024.

  9. Shishir Muralidhara; Saqib Bukhari; Georg Schneider; Didier Stricker; René Schuster

    CLEO: Continual Learning of Evolving Ontologies

    In: European Conference on Computer Vision. European Conference on Computer Vision (ECCV-2024), September 29 - October 4, Mailand, Germany, Springer, 2024.

  10. Ilira Troshani; Thiago Gouvea; Daniel Sonntag

    Wild Data Treasures: Towards Sustainable Practices in Deep Learning for Wildlife Monitoring

    In: CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. CHI Workshop on Sustaining Scalable Sustainability, Human-Centered Green Technology for Community-wide Carbon Reduction, located at ACM CHI 2024, May 11, Honolulu, HI, USA, ISBN 979-8-4007-0331-7, ACM, New York, USA, 5/2024.

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