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Publications

Displaying results 61 to 70 of 571.

  1. Martin Ben Ahmed; Niklas Wilming; Martin Atzmueller

    Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries

    In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE International Conference on Industrial Informatics (INDIN), Pages 1-8, IEEE, 2023.

  2. J.M. Górriz; I. Álvarez-Illán; A. Álvarez-Marquina; J.E. Arco; M. Atzmueller; F. Ballarini; E. Barakova; G. Bologna; P. Bonomini; G. Castellanos-Dominguez; D. Castillo-Barnes; S.B. Cho; R. Contreras; J.M. Cuadra; E. Domínguez; F. Domínguez-Mateos; R.J. Duro; D. Elizondo; A. Fernández-Caballero; E. Fernandez-Jover; M.A. Formoso; N.J. Gallego-Molina; J. Gamazo; J. García González; J. Garcia-Rodriguez; C. Garre; J. Garrigós; A. Gómez-Rodellar; P. Gómez-Vilda; M. Graña; B. Guerrero-Rodriguez; S.C.F. Hendrikse; C. Jimenez-Mesa; M. Jodra-Chuan; V. Julian; G. Kotz; K. Kutt; M. Leming; J. de Lope; B. Macas; V. Marrero-Aguiar; J.J. Martinez; F.J. Martinez-Murcia; R. Martínez-Tomás; J. Mekyska; G.J. Nalepa; P. Novais; D. Orellana; A. Ortiz; D. Palacios-Alonso; J. Palma; A. Pereira; P. Pinacho-Davidson; M.A. Pinninghoff; M. Ponticorvo; A. Psarrou; J. Ramírez; M. Rincón; V. Rodellar-Biarge; I. Rodríguez-Rodríguez; P.H.M.P. Roelofsma; J. Santos; D. Salas-Gonzalez; P. Salcedo-Lagos; F. Segovia; A. Shoeibi; M. Silva; D. Simic; J. Suckling; J. Treur; A. Tsanas; R. Varela; S.H. Wang; W. Wang; Y.D. Zhang; H. Zhu; Z. Zhu; J.M. Ferrández-Vicente

    Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

    In: Information Fusion, Vol. 100, Pages 1-37, Elsevier, 2023.

  3. Amr Gomaa; Michael Feld

    Towards Adaptive User-Centered Neuro-Symbolic Learning for Multimodal Interaction with Autonomous Systems

    In: Proceedings of the 25th International Conference on Multimodal Interaction. International Conference on Multimodal Interfaces (ICMI-2023), Paris, France, ICMI '23, ISBN 9798400700552, Association for Computing Machinery, 10/2023.

  4. Christoph Manss; Isabel Guenther; Florian Rahe (Hrsg.)

    Artificial Intelligence XL

    SGAI International Conference on Artificial Intelligence (AI-2023), Cambridge, United Kingdom, Vol. 14381, ISBN 978-3-031-47993-9, Springer Nature Switzerland, Cham, 2023.

  5. Nael Jaber; Bilal Wehbe; Frank Kirchner

    Sonar2Depth: Acoustic-Based 3D Reconstruction Using cGANs

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2023), October 1-5, Detroit, USA, IEEE, 2023.

  6. Andreas Schliebitz; Heiko Tapken; Martin Atzmueller

    Preprocessing Ground-Based Hyperspectral Image Data for Improving CNN-based Classification

    In: Michael Leyer; Johannes Wichmann (Hrsg.). Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Marburg, Germany, October 9-11, 2023. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2023), October 9-11, Marburg, Germany, Pages 399-413, CEUR Workshop Proceedings, Vol. 3630, CEUR-WS.org, 2023.

  7. Lotfy Abdel Khaliq; Sabine Janzen; Wolfgang Maaß

    REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms

    In: International Joint Conference on Artificial Intelligence 2024. International Joint Conference on Artificial Intelligence (IJCAI-2024), 33rd International Joint Conference on Artificial Intelligence, August 3-9, Jeju, Korea, Republic of, International Joint Conference on Artificial Intelligence, 8/2024.

  8. Md Abdul Kadir; Gowthamkrishna Addluri; Daniel Sonntag

    Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency

    In: Dietmar Seipel; Alexander Steen. German Conference on Artificial Intelligence. Pages 90-97, Lecture Notes in Computer Science, ISBN 978-3-031-42607-0, Springer, Cham, 2023.

  9. Nijat Mehdiyev; Johannes Lahann; Andreas Emrich; David Enke; Peter Fettke; Peter Loos

    Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry

    In: Procedia Computer Science. Complex Adaptive Systems (CAS-2017), USA, Pages 242-249, Vol. 114, 2017.

  10. Hendrik Wöhrle; Mariela De Lucas Alvarez; Fabian Schlenke; Alexander Walsemann; Michael Karagounis; Frank Kirchner (Hrsg.)

    Surrogate Model based Co-Optimization of Deep Neural Network Hardware Accelerators

    IEEE International Midwest Symposium on Circuits and Systems (MWSCAS-2021), August 9-11, USA, IEEE, 8/2021.

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