Marina M.-C. Höhne
Orcid: 0000-0003-3090-6279
According to our database1,
Marina M.-C. Höhne
authored at least 24 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
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
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
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus.
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
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