Joachim Baumann
Orcid: 0000-0003-2019-4829Affiliations:
- University of Zurich, Switzerland
- Zurich University of Applied Sciences, Switzerland
According to our database1,
Joachim Baumann
authored at least 18 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zhaw.ch
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on ifi.uzh.ch
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on orcid.org
On csauthors.net:
Bibliography
2024
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model.
CoRR, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023
2022
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics.
CoRR, 2022
A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs.
CoRR, 2022
Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation.
Proceedings of the 9th Swiss Conference on Data Science, 2022
Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
2021
Dealers of Peaches and Lemons: How Can Used Car Dealers Use Trusted Car Data to create value?
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021