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Maria De-Arteaga
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Publications
- 2025
[i31]Yunyi Li, Maria De-Arteaga, Maytal Saar-Tsechansky:
Bias-Aware Mislabeling Detection via Decoupled Confident Learning. CoRR abs/2507.07216 (2025)- 2024
[i28]Wanxue Dong, Maria De-Arteaga, Maytal Saar-Tsechansky:
Fighting Bias with Bias: A Machine Learning Approach to Assess Human Bias. CoRR abs/2411.18122 (2024)- 2023
[i27]Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Wei Sun, Min Kyung Lee, Matthew Lease:
Learning Complementary Policies for Human-AI Teams. CoRR abs/2302.02944 (2023)
[i24]Yunyi Li, Maria De-Arteaga, Maytal Saar-Tsechansky:
Mitigating Label Bias via Decoupled Confident Learning. CoRR abs/2307.08945 (2023)- 2022
[c10]Yunyi Li, Maria De-Arteaga, Maytal Saar-Tsechansky
:
When More Data Lead Us Astray: Active Data Acquisition in the Presence of Label Bias. HCOMP 2022: 133-146
[i19]Yunyi Li, Maria De-Arteaga, Maytal Saar-Tsechansky:
More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias. CoRR abs/2207.07723 (2022)
[i18]Maria De-Arteaga, Stefan Feuerriegel, Maytal Saar-Tsechansky:
Algorithmic Fairness in Business Analytics: Directions for Research and Practice. CoRR abs/2207.10991 (2022)- 2021
[c7]Ruijiang Gao, Maytal Saar-Tsechansky
, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease:
Human-AI Collaboration with Bandit Feedback. IJCAI 2021: 1722-1728
[i12]Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease:
Human-AI Collaboration with Bandit Feedback. CoRR abs/2105.10614 (2021)

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last updated on 2026-03-21 01:11 CET by the dblp team
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