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ORCIDManh Khoi Duong
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2020 – today
- 2024
[c7]Manh Khoi Duong, Stefan Conrad:
Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes. AEQUITAS@ECAI 2024- [c6]Manh Khoi Duong
, Stefan Conrad:
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques. DaWaK 2024: 375-380 - [c5]Manh Khoi Duong, Stefan Conrad:
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers. ECAI 2024: 882-889 - [i5]Manh Khoi Duong, Stefan Conrad:
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques. CoRR abs/2405.12926 (2024) - [i4]Manh Khoi Duong, Stefan Conrad:
Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes. CoRR abs/2405.19300 (2024) - [i3]Manh Khoi Duong, Stefan Conrad:
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers. CoRR abs/2409.12677 (2024) - [i2]Manh Khoi Duong, Stefan Conrad:
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes. CoRR abs/2410.00836 (2024) - 2023
- [c4]Manh Khoi Duong, Stefan Conrad:
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes. AusDM 2023: 105-120 - [c3]Manh Khoi Duong, Jannik Dunkelau, José Andrés Cordova, Stefan Conrad:
RAPP: A Responsible Academic Performance Prediction Tool for Decision-Making in Educational Institutes. BTW 2023: 595-606 - [c2]Manh Khoi Duong, Stefan Conrad:
Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? DaWaK 2023: 176-190 - 2022
- [i1]Jannik Dunkelau, Manh Khoi Duong:
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction. CoRR abs/2209.14670 (2022)
2010 – 2019
- 2019
- [c1]Manh Khoi Duong:
Automated Architecture-Modeling for Convolutional Neural Networks. BTW (Workshops) 2019: 163-172
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