Timo Freiesleben
Orcid: 0000-0003-1338-3293
According to our database1,
Timo Freiesleben
authored at least 14 papers
between 2020 and 2024.
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Bibliography
2024
Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena.
Minds Mach., September, 2024
CountARFactuals - Generating Plausible Model-Agnostic Counterfactual Explanations with Adversarial Random Forests.
Proceedings of the Explainable Artificial Intelligence, 2024
2023
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process.
Proceedings of the Explainable Artificial Intelligence, 2023
Dear XAI Community, We Need to Talk! - Fundamental Misconceptions in Current XAI Research.
Proceedings of the Explainable Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples.
Minds Mach., 2022
2021
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process.
CoRR, 2021
Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT).
CoRR, 2021
2020
Counterfactual Explanations & Adversarial Examples - Common Grounds, Essential Differences, and Potential Transfers.
CoRR, 2020
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models.
Proceedings of the xxAI - Beyond Explainable AI, 2020