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Publications

Displaying results 371 to 380 of 682.
  1. From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification

    In: Applied Intelligence (APIN), Vol. July 2024, Pages 1-15, Springer Nature, 7/2023.

  2. Mirjana Ivanovic; Serge Autexier; Miltiadis Kokkonidis; Johannes Rust

    Quality medical data management within an open AI architecture – cancer patients case

    In: Connection Science, Vol. 35, No. 1, Page 2194581, Taylor & Francis, 4/2023.

  3. Michael Lutter; Boris Belousov; Shie Mannor; Dieter Fox; Animesh Garg; Jan Peters

    Continuous-Time Fitted Value Iteration for Robust Policies

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 45, No. 5, Pages 5534-5548, IEEE, 2023.

  4. Dayananda Herurkar; Timur Sattarov; Jörn Hees; Sebastian Palacio; Federico Raue; Andreas Dengel

    Cross-Domain Transformation for Outlier Detection on Tabular Datasets

    In: IJCNN 2023 : International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2023), located at IJCNN, June 18-23, Gold Coast Convention and Exhibition Centre, Queensland, Australia, DFKI Research Reports (RR), IEEE Xplore, 2023.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Johannes Lahann; Martin Scheid; Peter Fettke

    Towards Optimal Free Trade Agreement Utilization through Deep Learning Techniques

    In: Tung Bui; Ralph Sprague (Hrsg.). Proceedings of the 53rd Annual Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2020), January 7-10, Maui, HI, USA, ISBN 978-0-9981331-3-3, IEEE Computer Society, 2020.

  10. Dagmar Gromann; Luis Espinosa-Anke; Thierry Declerck; Jose Camacho-Collados; Mohammad Taher Pilehvar (Hrsg.)

    Proceedings of the 5th Workshop on Semantic Deep Learning

    Workshop on Semantic Deep Learning (SemDeep-2019), located at 28th International Joint Conference on Artificial Intelligence, August 10-16, Macao, China, ISBN 978-1-950737-19-2, Association for Computational Linguistics (ACL), Stroudsburg, PA 18360, USA, 8/2019.