Publikationen:

Autor: Jahr:

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

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  ·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 (Currently under review)

 

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)

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  ·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

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  ·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)

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2022

  ·J. Dunkelau, M. Duong:
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction
FATED Workshop 2022 (EDM 2022)

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2019

  ·M. Duong:
Automated Architecture-Modeling for Convolutional Neural Networks
Datenbanksysteme für Business, Technologie und Web (BTW 2019)

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Heinrich Heine Universität

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