Papers matching “explainable classification” 63
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MedicalPatchNet: a patch-based self-explainable AI architecture for chest X-ray classification2026 Scientific Reports article Computer Science Explainable Artificial Intelligence (XAI) Open access
Patrick Wienholt, Christiane Katharina Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
3citations -
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data2024 IFAC-PapersOnLine article Computer Science Explainable Artificial Intelligence (XAI) Open access
Camelia Oprea, Mike Grüne, Mateusz Buglowski, Lena Olivier, Thorsten W Orlikowsky, Stefan Kowalewski, +2 more
6citations -
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data2024 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Camelia Oprea, Mike Grüne, Mateusz Buglowski, Lena Olivier, Thorsten W Orlikowsky, Stefan Kowalewski, +2 more
0citations -
Unveiling Black-Boxes: Explainable Deep Learning Models for Patent Classification2023 Communications in computer and information science conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
Md Shajalal, Sebastian Denef, Md. Rezaul Karim, Alexander Boden, Gunnar Stevens
3citations -
Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data2023 IEEE ... International Conference on Data Mining workshops conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
Dan Hudson, Ruud J. R. Den Hartigh, Laurentius A. Meerhoff, Martin Atzmueller
4citations -
Explainability of a Deep Learning Based Classification Model for ANCA-Associated Glomerulonephritis2022 Journal of the American Society of Nephrology article Computer Science Explainable Artificial Intelligence (XAI)
Maria A.C. Wester Trejo, Maryam Sadeghi, Shivam Singh, Andreas Kronbichler, Vladimı́r Tesař, Xavier Puéchal, +1 more
0citations -
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
134citations -
Gradient Free Multi-Objective Counterfactual Explainability for Multivariate Time Series Classification2025 IEEE International Conference on Big Data (BigData) conference-paper Computer Science Explainable Artificial Intelligence (XAI)
Qi Huang, Sofoklis Kitharidis, Furong Ye, Marius Ottolini, Thomas Bäck, Bas van Stein
0citations -
What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric2023 Annual Meeting of the Association for Computational Linguistics (ACL) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
Enrico Liscio, Óscar Araque, Lorenzo Gatti, Ionut Constantinescu, Catholijn M. Jonker, Kyriaki Kalimeri, +1 more
13citations -
Sparse Local Latents for Explainable Zero-Shot Reasoning in Medical Vision-Language Models2026 Lecture notes in computer science conference-paper Computer Science Multimodal Machine Learning Applications
Martin Goetze, Patrick Wienholt, Dennis Eschweiler, Marvin Gazibaric, Christiane Kuhl, Sven Nebelung, +1 more
0citations -
2022-RA-648-ESGO Interpretable deep learning provides clues for prognostic refinement of the molecular endometrial cancer classification2022 International Journal of Gynecological Cancer article Computer Science AI in cancer detection Open access
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Jan J. Jobsen, Ina Maria Jurgenliemk-Schulz, +14 more
0citations