Papers matching “interpretability evaluation” 149
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Interpretable Visualizations of Deep Neural Networks for Domain Generation Algorithm Detection2020 IEEE Symposium on Visualization for Cyber Security (VIZSEC) conference-paper Computer Science Explainable Artificial Intelligence (XAI)
Franziska Becker, Arthur Drichel, Christoph Müller, Thomas Ertl
15citations -
Harnessing Artificial Intelligence for Enhanced Renal Analysis: Automated Detection of Hydronephrosis and Precise Kidney Segmentation2024 European Urology Open Science article Computer Science Medical Image Segmentation Techniques Open access
Radu Alexa, Jennifer Kranz, Rafael Kramann, Christoph Kuppe, Ritabrata Sanyal, Sikander Hayat, +4 more
9citations -
Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine Jane Hewitt, Nic Gabriel Reitsam, Sebastian Foersch, +5 more
7citations -
Use of clustering techniques for clinical and epidemiological research: practical tips using an example from rheumatology2026 Journal of Clinical Epidemiology article Computer Science Advanced Clustering Algorithms Research Open access
Martine T Jansen, Mark Matthijs Bakker, Alexandre Rocha Sepriano, Ziv Shkedy, Robert Landewé, Sofía Ramiro, +2 more
4citations -
Performance of Rag-Based Systems in Industrial Organizations: a Case Study in the Automotive Industry2025 IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) conference-paper Computer Science Information Retrieval and Search Behavior
Nils Mayat, Charlotte Wachter, Sonja Spatzenegger, Marcos Padrón Hinrichs, Tim Weißer, Robert Heinrich Schmitt
2citations -
Performance Made Visible: A Tool-Based Exploration of HPC Applications2025 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Parallel Computing and Optimization Techniques Open access
Krishna Sai Lakshmi Gayatri Manda, Ayushya Pare, Michael Commer, M. Errenst, Matthias Hellmann, Marc-André Hermanns, +1 more
0citations -
Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access
Marc Aubreville, Zhaoya Pan, Matti Sievert, Jonas Ammeling, Jonathan Ganz, Nicolai Oetter, +3 more
0citations -
Reproducibility Archive for Explainable Machine Learning Integrating Quantum Mechanical Descriptors and Matched Molecular Pair Analysis for Scaffold-Generalizable Discovery of Soluble Epoxide Hydrolase Inhibitors.2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Computational Drug Discovery Methods Open access
Dileep Kumar, Ajwin Joseph Martin, Maria Grishina, Mohd Shahbaaz
0citations -
Performance Made Visible: A Tool-Based Exploration of HPC Applications2025 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Parallel Computing and Optimization Techniques Open access
Krishna Sai Lakshmi Gayatri Manda, Ayushya Pare, Michael Commer, M. Errenst, Matthias Hellmann, Marc-André Hermanns, +1 more
0citations -
Integrating biodiversity in Situ data, Earth observation and stakeholder engagement - from machine- to policy-actionability2026 EGU General Assembly Conference Abstracts conference-abstract Computer Science Research Data Management Practices Open access
Claus Weiland, Lena Perzlmaier, Daniel Bauer, Jonas Grieb, Julian Oeser, Taimur Khan, +2 more
0citations -
Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application
Amelie Echle, Narmin Ghaffari Laleh, Philip Quirke, Heike Irmgard Grabsch, Hannah Sophie Muti, Oliver Lester Saldanha, +32 more
112citations