Publikationen:
2024
| · | M. Duong, S. Conrad: Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques Big Data Analytics and Knowledge Discovery: 26th International Conference, DaWaK 2024, Naples, Italy, August 26-28, 2024, Proceedings |  | |
| · | M. Duong, S. Conrad: Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes Proceedings of the 2nd Workshop on Fairness and Bias in AI (AEQUITAS 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024) Santiago de Compostela, Spain | | |
| · | M. Duong, S. Conrad: (Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers ECAI 2024 - 27th European Conference on Artificial Intelligence Santiago de Compostela, Spain |
2023
| · | M. Duong, S. Conrad: Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes The 21th Australasian Data Science and Machine Learning Conference (AusDM’23) | | |
| · | M. Duong, S. Conrad: Dealing With Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? Big Data Analytics and Knowledge Discovery: 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023, Proceedings | | |
| · | M. Duong, J. Dunkelau, J. Cordova, S. Conrad: RAPP: A Responsible APP Tool for Decision-Making in Educational Institutes Datenbanksysteme für Business, Technologie und Web (BTW 2023) | |
2022
| · | J. Dunkelau, M. Duong: Towards Equalised Odds as Fairness Metric in Academic Performance Prediction FATED Workshop 2022 (EDM 2022) | |
2019
| · | M. Duong: Automated Architecture-Modeling for Convolutional Neural Networks Datenbanksysteme für Business, Technologie und Web (BTW 2019) | |
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