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Embedded Intelligence

Publications

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  1. DeepLSF: Fusing Knowledge and Data for Time Series Forecasting

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. NA, Page NA, IEEE, 2023.

  2. Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting

    In: Springer (Hrsg.). Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting. International Conference on …

  3. A Comparative Analysis of Traditional and Deep Learning-based Anomaly Detection Methods for Streaming Data

    In: 18th IEEE International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications …

  4. 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 …

  5. 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.

  6. Muhammad Ali Chattha; Shoaib Ahmed Siddiqui; Muhammad Imran Malik; Ludger van Elst; Andreas Dengel; Sheraz Ahmed

    KINN: Incorporating Expert Knowledge in Neural Networks

    In: AAAI-MAKE. AAAI Spring Symposium (AAAI SSS-2019), March 25-27, Stanford, CA, USA, AAAI, 3/2019.

Contact

Office:
Shannon Kittrell, B.A.
Phone: +49 631 20575 4010

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)
Research Department Embedded Intelligence
Trippstadter Str. 122
67663 Kaiserslautern
Germany