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Publications

 

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Displaying results 81 to 90 of 724.
  1. Maciej Szelążek; Dan Hudson; Szymon Bobek; Grzegorz J. Nalepa; Martin Atzmueller

    Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery

    In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA). International Conference on Data Science and Advanced …

  2. Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller

    Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches

    In: International Journal of Data Science and Analytics, Pages 1-18, Springer, 2023.

  3. Jurgen van den Hoogen; Dan Hudson; Stefan Bloemheuvel; Martin Atzmueller

    Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study

    In: International Journal of Data Science and Analytics, Pages 1-22, Springer, 2023.

  4. Eric Lanfer; Sophia Sylvester; Nils Aschenbruck; Martin Atzmueller

    Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets

    In: Eyuphan Bulut; Florian Tschorsch; Kanchana Thilakarathna (Hrsg.). Proceedings of the 48th IEEE Conference on Local Computer Networks - LCN 2023. …

  5. 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 …

  6. Felix Gerschner; Jonas Paul; Lukas Schmid; Nico Barthel; Victor Gouromichos; Florian Schmid; Martin Atzmueller; Andreas Theissler

    Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data

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

  7. 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.

  8. Unveiling the Role of Expert Guidance: A Comparative Analysis of User-centered Imitation Learning and Traditional Reinforcement Learning

    In: Proceedings of the 1st International Workshop on Human-in-the-Loop Applied Machine Learning (HITLAML 2023). International Workshop on …

  9. Deriving Rewards for Reinforcement Learning from Symbolic Behaviour Descriptions of Bipedal Walking

    In: 62nd IEEE Conference on Decision and Control (CDC). IEEE Conference on Decision and Control (CDC-2023), December 13-15, Marina Bay Sands, …

  10. Investigating the Encoding of Words in BERT's Neurons Using Feature Textualization

    In: Yonatan Belinkov; Sophie Hao; Jaap Jumelet; Najoung Kim; Arya McCarthy; Hosein Mohebbi (Hrsg.). Proceedings of the 6th BlackboxNLP Workshop: …