Papers matching “explainable deep learning” 59
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Detecting the extent of co-existing anomalies in additively manufactured metal matrix composites through explainable selection and fusion of multi-camera deep learning features2025 Virtual and Physical Prototyping article Engineering Additive Manufacturing Materials and Processes Open access
Mutahar Safdar, Gentry Wood, Max Zimmermann, Guy Lamouche, Priti Wanjara, Yaoyao Fiona Zhao
9citations -
Unveiling Black-Boxes: Explainable Deep Learning Models for Patent Classification2023 Communications in computer and information science conference-paper Business, Management and Accounting Intellectual Property and Patents Open access
Md Shajalal, Sebastian Denef, Md. Rezaul Karim, Alexander Boden, Gunnar Stevens
3citations -
Deep learning-based prediction of particle size distributions in construction and demolition waste recycling using convolutional neural networks on 3D laser triangulation data2025 Construction and Building Materials article Engineering Recycled Aggregate Concrete Performance Open access
Nils Kroell, Eric Thor, Lieve Josephina Leonie Göbbels, Xiaozheng Chen
15citations -
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer2023 Nature Medicine article Medicine Radiomics and Machine Learning in Medical Imaging cited by 1 patent
Sebastian Foersch, Christina Glasner, Ann-Christin Woerl, Markus Eckstein, Daniel‐Christoph Wagner, Stefan Schulz, +11 more
269citations -
Deep Learning Predicts Survival Across Squamous Tumor Entities From H&E Stains: Insights from Head and Neck, Esophagus, Lung and Cervical Cancer2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Medicine Radiomics and Machine Learning in Medical Imaging Open access
Verena Bitto, Xiaofeng Jiang, Michael A. Baumann, Jakob Nikolas Kather, Ina Kurth
1citations -
Interpreting Black-box Machine Learning Models for High Dimensional Datasets2023 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, +1 more
19citations -
RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access
Bernd Frauenknecht, Emma Cramer, Artur Eisele, Paul Kruse, Lukas Kesper, Jonas Hertrampf, +6 more
0citations