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Publications

Displaying results 501 to 510 of 647.

  1. Philip Hake; Jana-Rebecca Rehse; Peter Fettke

    Supporting Complaint Management in the Medical Technology Industry by Means of Deep Learning

    In: 3rd International Workshop on Artificial Intelligence for Business Process Management. International Workshop on Artificial Intelligence for Business Process Management (AI4BPM-2019), located at Business Process Management, September 1-6, Vienna, Austria, Springer, 2019.

  2. Muhammad Ali Chatta; Muhammad Shoaib Ahmed Siddiqui; Moshin Munir; Ludger van Elst; Imran Malik; Andreas Dengel; Sheraz Ahmed

    DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting

    In: The 28th International Conference on Artificial Neural Networks. International Conference on Artificial Neural Networks (ICANN-2019), September 17-19, Munich, Germany, IEEE, 9/2019.

  3. Mohsin Munir; Shoaib Ahmed Siddiqui; Ferdinand Küsters; Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features

    In: ICANN. International Conference on Artificial Neural Networks (ICANN-2019), September 17-19, Munich, Germany, Pages 426-439, Vol. 11731, ISBN 978-3-030-30493-5, Springer, Cham, 9/2019.

  4. Gencer Sümbül; Marcela Charfuelan Oliva; Begüm Demir; Volker Markl

    BIGEARTHNET: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding

    In: IEEE International Conference on Geoscience and Remote Sensing Symposium. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2019), July 28 - August 2, Yokohama, Japan, IEEE Xplore Digital Library, 2019.

  5. Tushar Karayil; Philipp Blandfort; Jörn Hees; Andreas Dengel

    The Focus-Aspect-Value Model for Explainable Prediction of Subjective Visual Interpretation

    In: Proceedings of the 2019 on International Conference on Multimedia Retrieval. ACM International Conference on Multimedia Retrieval (ICMR-2019), June 10-13, Ottawa, Ontario, Canada, Pages 16-24, ISBN 978-1-4503-6765-3, ACM, 2019.

  6. Mohsin Munir; Shoaib Ahmed Siddiqui; Muhammad Ali Chattha; Andreas Dengel; Sheraz Ahmed

    FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models

    In: Sensors - Open Access Journal (Sensors), Vol. 19, No. 11, Pages 1-15, MDPI, 5/2019.

  7. Benjamin Bischke; Patrick Helber; Joachim Folz; Damian Borth; Andreas Dengel

    Multi-task learning for segmentation of building footprints with neural networks

    In: AI4SocialGood. International Conference on Learning Representations (ICLR-2019), May 6-9, New Orleans, Louisiana, USA, arXiv, 2019.

  8. Babu Ajish; Leon Cedric Danter; Pierre Willenbrock; Sankaranarayanan Natarajan; Daniel Kuehn; Frank Kirchner

    ARTER: a walking excavator robot for autonomous and remote operations

    In: at - Automatisierungstechnik, Vol. 70, No. 10, Pages 876-887, De Gruyter, 2022.

  9. Johannes Lahann; Peter Pfeiffer; Peter Fettke

    LSTM-based Anomaly Detection of Process Instances: Benchmark and Tweaks

    In: Proceedings of the 4th International Conference on Process Mining (Workshops). International Conference on Process Mining (ICPM-2022), Process Mining Workshops, October 23-28, Bolzano, Italy, Lecture Notes in Business Information Processing, Springer, 2023.

  10. Saifullah Saifullah; Dominique Mercier; Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

    The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods

    In: Frontiers in Artificial Intelligence, Vol. 7, Pages 1-26, Frontiers, 7/2024.

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