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04/25/2023
Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis
Machine learning (ML) based approaches are increasingly being used in a ...
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04/10/2023
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness
Despite the potential benefits of machine learning (ML) in high-risk dec...
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01/10/2023
Inside the Black Box: Detecting and Mitigating Algorithmic Bias across Racialized Groups in College Student-Success Prediction
Colleges and universities are increasingly turning to algorithms that pr...
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02/09/2022
Explainable Predictive Modeling for Limited Spectral Data
Feature selection of high-dimensional labeled data with limited observat...
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09/13/2021
Auditing Fairness and Imputation Impact in Predictive Analytics for Higher Education
Nowadays, colleges and universities use predictive analytics in a variet...
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09/13/2021
On the Choice of Fairness: Finding Representative Fairness Metrics for a Given Context
It is of critical importance to be aware of the historical discriminatio...
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01/06/2020
Fair Active Learning
Bias in training data and proxy attributes are probably the main reasons...
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11/06/2019
