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cs.LG2025
GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
Modar Sulaiman, Kallol Roy
Fairness in machine learning (ML) has a critical importance for building trustworthy machine learning system as artificial intelligence (AI) systems increasingly impact various asp…
cs.LG2023
The Fairness Stitch: Unveiling the Potential of Model Stitching in Neural Network De-Biasing
Modar Sulaiman, Kallol Roy
The pursuit of fairness in machine learning models has emerged as a critical research challenge in different applications ranging from bank loan approval to face detection. Despite…
cs.LG2022★ 1 cited
Fair Classification via Transformer Neural Networks: Case Study of an Educational Domain
Modar Sulaiman, Kallol Roy
Educational technologies nowadays increasingly use data and Machine Learning (ML) models. This gives the students, instructors, and administrators support and insights for the opti…