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Publications

Displaying results 3441 to 3450 of 13847.

  1. Rajarshi Biswas; Michael Barz; Daniel Sonntag

    Towards Explanatory Interactive Image Captioning Using Top-Down and Bottom-Up Features, Beam Search and Re-ranking

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 36, Pages 1-14, Springer, 7/2020.

  2. Kareem Amin; Stelios Kapetanakis; Nikolaos Polatidis; Klaus-Dieter Althoff; Andreas Dengel

    DeepKAF: A Heterogeneous CBR Deep Learning Approach for NLP Prototyping

    In: IEEE (Hrsg.). 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). INISTA (INISTA-2020), located at INnovations in Intelligent SysTems and Applications, August 24-26, Novi Sad, Serbia, Pages 1-7, No. 19951570, IEEE, New York, 9/2020.

  3. 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.

  4. Leon Cedric Danter; Steffen Planthaber; Alexander Dettmann; Wiebke Brinkmann; Frank Kirchner

    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.

  5. 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.

  6. Martin Feick; Niko Kleer; Anthony Tang; Antonio Krüger

    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.

  7. Sara Khan; Boris Brandherm; Anilkumar Swamy

    Electric Vehicle User Behavior Prediction Using Learning-Based Approaches

    In: 2020 IEEE Electric Power and Energy Conference (EPEC). IEEE Electric Power and Energy Conference (EPEC-2020), November 9-10, Edmonton, AB, Canada, ISBN 978-1-7281-6490-8, IEEE, 2020.

  8. Eleftherios Avramidis; Vivien Macketanz; Ursula Strohriegel; Aljoscha Burchardt; Sebastian Möller

    Fine-grained linguistic evaluation for state-of-the-art Machine Translation

    In: Proceedings of the Fifth Conference on Machine Translation. Conference on Machine Translation (WMT-2020), November 19-20, Online-Conference, Association for Computational Linguistics, 11/2020.

  9. Shailza Jolly; Tobias Falke; Caglar Tirkaz; Daniil Sorokin

    Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems

    In: International Committee on Computational Linguistics. International Conference on Computational Linguistics (COLING-2020), December 8-13, Barcelona, Spain, ACL, 2020.

  10. Mahdi Chamseddine; Jason Raphael Rambach; Oliver Wasenmüller; Didier Stricker

    Ghost Target Detection in 3D Radar Data using Point Cloud based Deep Neural Network

    In: International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2020), 25th International Conference on Pattern Recognition, January 12-15, Milan, Italy, ISBN 978-1-7281-8808-9, IEEE, 5/2021.

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