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@@ -81,6 +81,9 @@ To learn how to reproduce the results in tables 1 and 2 of the [paper](https://a
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## Citation
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This github repository provides scripts and trained models from our paper:
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M. Ntrougkas, V. Mezaris, I. Patras, "P-TAME: Explain Any Image Classifier with Trained Perturbations", IEEE Open Journal of Signal Processing, 2025. [doi: 10.1109/OJSP.2025.3568756](https://doi.org/10.1109/OJSP.2025.3568756).
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If you find this XAI explainability method interesting or useful in your research, use the following Bibtex annotation to cite us:
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```bibtex

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