Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Marc Ebner"'
Autor:
Marc Ebner
Publikováno v:
Journal of Artificial Intelligence and Consciousness. :193-226
If one had a full understanding of consciousness then it should be possible to create artificial consciousness. It is frequently argued that qualia are subjective and are impossible to re-create artificially. However, qualia are grounded in reality a
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Proceedings of the 3rd International Conference on Image Processing and Vision Engineering.
Publikováno v:
Proceedings of the 3rd International Conference on Image Processing and Vision Engineering.
Autor:
Richard Krieg, Marc Ebner
Publikováno v:
2022 Sixth IEEE International Conference on Robotic Computing (IRC).
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Autor:
Daniel Lehmann, Marc Ebner
Publikováno v:
Proceedings of the 3rd International Conference on Deep Learning Theory and Applications.
Autor:
Daniel Lehmann, Marc Ebner
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783031024610
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9888443f6031af05bae3f018bce322d9
https://doi.org/10.1007/978-3-031-02462-7_31
https://doi.org/10.1007/978-3-031-02462-7_31
Autor:
Daniel Lehmann, Marc Ebner
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030863791
ICANN (4)
ICANN (4)
Convolutional neural network (CNN) models are widely used for image classification. However, CNN models are vulnerable to out-of-distribution (OoD) samples. This vulnerability makes it difficult to use CNN models in safety-critical applications (e.g.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49e7236e703d8faf20378f862c773cf5
https://doi.org/10.1007/978-3-030-86380-7_18
https://doi.org/10.1007/978-3-030-86380-7_18