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Publikationen

Zeige Ergebnisse 101 bis 110 von 599.
  1. Sabine Klein; Johannes Lahann; Lea Götz; Dominic Neu; Peter Pfeiffer; Adrian Rebmann; Martin Scheid; Brian Willems; Peter Fettke

    Business Process Intelligence Challenge 2020: Analysis and evaluation of a travel process

    In: Proceedings of the 2nd International Conference on Process Mining. International Conference on Process Mining (ICPM-2020), located at 2nd, October 4-9, University of Padua, Italy, IEEE, 2020.

  2. Santanu Pal; Hongfei Xu; Nico Herbig; Sudip Kumar Naskar; Antonio Krüger; Josef van Genabith

    The Transference Architecture for Automatic Post-Editing

    In: Proceedings of the 28th Conference on Computational Linguistics. International Conference on Computational Linguistics (COLING-2020), December 12-13, Barcelona, Spain, Pages 5963-5974, International Committee on Computational Linguistics, 12/2020.

  3. Understanding Translationese in Multi-view Embedding Spaces

    In: Proceedings of the 28th International Conference on Computational Linguitics. International Conference on Computational Linguistics (COLING-2020), December 12-13, Barcelona, Spain, 2020.

  4. Oliver Zielinski

    Rettet Künstliche Intelligenz den Planeten?

    In: IM+io, Vol. 35. Jahrgang, No. 3/2020, Pages 14-17, AWS-Institut für digitale Produkte und Prozesse gGmbH, Saarbrücken, 9/2020.

  5. A Visually Explainable Learning System for Skin Lesion Detection Using Multiscale Input with Attention U-Net

    In: KI 2020: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2020), 43rd, September 21-25, Bamberg, Germany, Pages 313-319, Lecture Notes in Computer Science (LNCS), Vol. 12325, Springer, 9/2020.

  6. Frederic Stahl; Atta Badii

    Building Adaptive Data Mining Models on Streaming Data in Real-Time

    In: Miltos Petridis (Hrsg.). Expert Update, Vol. 20 - Special edition for the UK Symposium on Knowledge Discovery and Data Mining 2019, No. 2, Pages 1-8, SGAI, 2020.

  7. Mattis Wolf; Katelijn van den Berg; Shungudzemwoyo Pascal Garaba; Nina Gnann; Klaus Sattler; Frederic Theodor Stahl; Oliver Zielinski

    Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q)

    In: Environmental Research Letters (ERL), Vol. 15, No. 11, Pages 1-14, IOP Publishing Ltd. Wales, 11/2020.

  8. Lightweight and Framework-Independent Communication Library to Support Cross-Plattform Robotic Applications and High-Latency Connections

    In: 15th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS '20). International Symposium on Systems, Artificial Intelligence, Robotics, and Automation in Space (i-SAIRAS), 15th, October 19-23, Online-Conference, 10/2020.

  9. Kalyanaraman Shankari; Jonathan Fuerst; Mauricio Fadel Argerich; Eleftherios Avramidis; Jesse Zhang

    MobilityNet: Towards a Public Dataset for Multi-modal Mobility Research

    In: Proceedings of the ICLR 2020 Workshop on Tackling Climate Change with Machine Learning. International Conference on Learning Representations (ICLR-2020), April 26-30, Online-Conference, Ethiopia, Climate Change AI, 5/2020.

  10. The Virtual Reality Questionnaire Toolkit

    In: ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology (UIST-2020), 33rd, October 20-23, Minneapolis, Minnesota, USA, ISBN 978-1-4503-7515-3/20/10, ACM, 10/2020.