Automated Architecture-Modeling for Convolutional Neural Networks. - Manh Khoi Duong (BTW (Workshops), 2019)

Towards Equalised Odds as Fairness Metric in Academic Performance Prediction. - Jannik Dunkelau; Manh Khoi Duong (CoRR, 2022)

Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes. - Manh Khoi Duong; Stefan Conrad 001 (AusDM, 2023)

RAPP: A Responsible Academic Performance Prediction Tool for Decision-Making in Educational Institutes. - Manh Khoi Duong; Jannik Dunkelau; José Andrés Cordova; Stefan Conrad 001 (BTW, 2023)

Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? - Manh Khoi Duong; Stefan Conrad 001 (DaWaK, 2023)

Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes. - Manh Khoi Duong; Stefan Conrad 001 (AEQUITAS@ECAI, 2024)

Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques. - Manh Khoi Duong; Stefan Conrad 001 (DaWaK, 2024)

(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers. - Manh Khoi Duong; Stefan Conrad 001 (ECAI, 2024)