Marina M.-C. Höhne
Orcid: 0000-0003-3090-6279
According to our database1,
Marina M.-C. Höhne
authored at least 27 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
CoRR, 2024
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test.
CoRR, 2024
2023
<i>This</i> looks <i>More</i> Like <i>that</i>: Enhancing Self-Explaining Models by Prototypical Relevance Propagation.
Pattern Recognit., April, 2023
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus.
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond.
J. Mach. Learn. Res., 2023
Explainable AI in Grassland Monitoring: Enhancing Model Performance and Domain Adaptability.
CoRR, 2023
Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors.
CoRR, 2023
Finding the right XAI method - A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science.
CoRR, 2023
Proceedings of the Explainable Artificial Intelligence, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches.
Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023
2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Demonstrating the Risk of Imbalanced Datasets in Chest X-Ray Image-Based Diagnostics by Prototypical Relevance Propagation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Datenschutz und Datensicherheit, 2021
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout.
CoRR, 2021
This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation.
CoRR, 2021
2020
CoRR, 2020