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Publications

Displaying results 311 to 320 of 678.

  1. Nijat Mehdiyev; Peter Fettke

    Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring

    In: Witold Pedrycz; Shyi-Ming Chen (Hrsg.). Interpretable Artificial Intelligence: A Perspective of Granular Computing. Chapter 1, Pages 1-28, Vol. 937, ISBN 9783030649487, Springer, 2021.

  2. Nijat Mehdiyev; Peter Fettke

    Prescriptive process analytics with deep learning and explainable artificial intelligence

    In: Twenty-Eighth European Conference on Information Systems (ECIS2020) - A Virtual AIS Conference. European Conference on Information Systems (ECIS-2020), 28th, June 15, Marrakech, Morocco, AISeL, 6/2020.

  3. Wei Jiang; Hans Dieter Schotten

    A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection

    In: IEEE Transactions on Vehicular Technology, Vol. 70, Pages 1-16, IEEE, 2021.

  4. Ellák Somfai; Benjámin Baffy; Kristian Fenech; Changlu Guo; Rita Hosszú; Dorina Korózs; Fabrizio Nunnari; Marcell Pólik; Daniel Sonntag; Attila Ulbert; András Lorincz

    Minimizing false negative rate in melanoma detection and providing insight into the causes of classification

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2102.09199, Pages 1-14, arXiv, 2021.

  5. Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2021), July 18-22, Virtual, Vol. abs/2102.05917, Arxiv, 2021.

  6. Dominic Neu; Johannes Lahann; Peter Fettke

    A systematic literature review on state-of-the-art deep learning methods for process prediction

    In: Artificial Intelligence Review, Vol. Online, Springer Nature, 3/2021.

  7. Saadullah Amin; Günter Neumann

    T2NER: Transformers based Transfer Learning Framework for Named Entity Recognition

    In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Conference of the European Chapter of the Association for Computational Linguistics (EACL-2021), System Demonstrations, April 19-23, Kyiv/Virtual, Ukraine, Pages 212-220, Association for Computational Linguistics (ACL), 4/2021.

  8. Ahmet Firintepe; Carolin Vey; Stylianos Asteriadis; Alain Pagani; Didier Stricker

    From IR Images to Point Clouds to Pose: Point Cloud-Based AR Glasses Pose Estimation

    In: Nadia Magnenat Thalmann (Hrsg.). Journal of Imaging, Vol. 7, No. 80, Pages 1-18, MDPI, 4/2021.

  9. Fabrizio Nunnari; Daniel Sonntag

    A Software Toolbox for Deploying Deep Learning Decision Support Systems with XAI Capabilities

    In: Companion of the 2021 ACM SIGCHI Symposium on Engineering Interactive Computing Systems. ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS-2021), June 8-11, Eindhoven/Virtual, Netherlands, EICS '21, ISBN 9781450384490, Association for Computing Machinery, 2021.

  10. Sk Aziz Ali; Kerem Kahraman; Christian Theobalt; Didier Stricker; Vladislav Golyanik

    Fast Gravitational Approach for Rigid Point SetRegistration With Ordinary Differential Equations

    In: Mingbo Zhao (Hrsg.). IEEE Access, Vol. 9, Pages 79060-79079, IEEE Access, 6/2021.

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