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Publications

Displaying results 301 to 310 of 659.

  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. René Schuster; Christian Unger; Didier Stricker

    A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions

    In: Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2021), January 5-9, Waikoloa, HI, USA, IEEE, 2021.

  4. Nikolas Müller; Jonas Stenzel; Jian-Jia Chen

    Self-supervised Detection and Pose Estimation of Logistical Objects in 3D Sensor Data

    In: 25th International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2020), January 10-15, Milan, Italy, IEEE, 1/2021.

  5. 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.

  6. 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.

  7. Ho Minh Duy Nguyen; Abraham Ezema; Fabrizio Nunnari; Daniel Sonntag

    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.

  8. Marco Schreyer; Timur Sattarov; Damian Borth; Andreas Dengel; Bernd Reimer

    Künstliche Intelligenz in der Wirtschaftsprüfung - Identifikation ungewöhnlicher Buchungen in der Finanzbuchhaltung

    In: Die Wirtschaftsprüfung (WPg), Vol. 71, Pages 674-681, IDW Verlag, 6/2018.

  9. Viktor Eisenstadt; Christoph Langenhan; Klaus-Dieter Althoff

    FLEA-CBR - A Flexible Alternative to the Classic 4R Cycle of Case-Based Reasoning

    In: Kerstin Bach; Cindy Marling (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2019), September 8-12, Otzenhausen, Germany, Pages 49-63, Springer, 2019.

  10. Julius Hülsmann; Jonas Traub; Volker Markl

    Demand-based sensor data gathering with multi-query optimization

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 12, Pages 2801-2804, VLDB Endowment, 2020.

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