Papers matching “explainable classification” 180
Not finding it? Sign in to also search OpenAlex live.
-
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 -
Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening2026 arXiv (Cornell University) preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access
Solomiia Kurchaba, Joannes D. Maasakkers, Berend J. Schuit, Ilse Aben
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 -
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) conference-paper Medicine COVID-19 diagnosis using AI Open access
Md. Rezaul Karim, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz‐Schuhmann, Stefan Decker
154citations -
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 -
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