no code implementations • 25 Mar 2024 • Md Abdul Kadir, GowthamKrishna Addluri, Daniel Sonntag
Explainable Artificial Intelligence (XAI) strategies play a crucial part in increasing the understanding and trustworthiness of neural networks.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
no code implementations • 22 Mar 2024 • Md Abdul Kadir, Hasan Md Tusfiqur Alam, Pascale Maul, Hans-Jürgen Profitlich, Moritz Wolf, Daniel Sonntag
While MedDeepCyleAL can be applied to any kind of image data, we have specifically applied it to ophthalmology data in this project.
1 code implementation • 20 Jul 2023 • Md Abdul Kadir, Hasan Md Tusfiqur Alam, Daniel Sonntag
However, selecting data for annotation remains a challenging problem due to the limited information available on unseen data.
no code implementations • 5 Jul 2023 • Md Abdul Kadir, Gowtham Krishna Addluri, Daniel Sonntag
Ensuring the trustworthiness and interpretability of machine learning models is critical to their deployment in real-world applications.
no code implementations • 3 Apr 2023 • Md Abdul Kadir, Fabrizio Nunnari, Daniel Sonntag
In this paper, we propose a CNN fine-tuning method which enables users to give simultaneous feedback on two outputs: the classification itself and the visual explanation for the classification.