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Publications

Displaying results 361 to 370 of 666.

  1. Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    P2ExNet: Patch-based Prototype Explanation Network

    In: Neural Information Processing - Proceedings. International Conference on Neural Information Processing (ICONIP-2020), 27th International Conference on Neural Information Processing, November 18-22, Bangkok, Thailand, Pages 318-330, Lecture Notes in Computer Scienece (LNTCS), Vol. 12534, ISBN 978-3-030-63836-8, Springer, 11/2020.

  2. Dominique Mercier; Shoaib Ahmed Siddiqui; Andreas Dengel; Sheraz Ahmed

    Interpreting Deep Models through the Lens of Data

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2020), July 19-24, Glasgow, United Kingdom, ISBN 978-1-7281-6926-2, IEEE Xplore, 9/2020.

  3. Shoaib Ahmed Siddiqui; Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    TSInsight: A local-global attribution framework for interpretability in time-series data

    In: Sensors - Open Access Journal (Sensors), Vol. 21, Pages 1-16, MDPI, 11/2021.

  4. Akansha Bhardwaj; Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    DeepBIBX: Deep Learning for Image Based Bibliographic Data Extraction

    In: International Conference on Neural Information Processing. International Conference on Neural Information Processing (ICONIP-2017), 24th International Conference on Neural Information Processing, November 14-18, Guangzhou, China, Pages 286-293, Vol. 10635, ISBN 978-3-319-70095-3, Springer, 10/2017.

  5. Fabio Vulpi; Annalisa Milella; Florian Cordes; Raúl Domínguez; Giulio Reina

    Deep Terrain Estimation for Planetary Rovers

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

  6. Jason Raphael Rambach

    Learning Priors for Augmented Reality Tracking and Scene Understanding

    PhD-Thesis, Technische Universität Kaiserslautern, ISBN 978-3-8439-4555-4, Dr.Hut, München, 9/2020.

  7. Marcel Heinz; Jakob Michael Schönborn; Klaus-Dieter Althoff

    Development and Implementation of a Case-Based Reasoning Approach to Speed-Up Deep Reinforcement Learning through Case-Injection for AI Gameplay

    In: Daniel Trabold; Pascal Welke; Nico Piatkowski (Hrsg.). Lernen, Wissen, Daten, Analysen. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2020), September 9-11, Online, Pages 142-153, CEUR, 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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