Global ETD Search

Fairness-aware machine learning for box office prediction : predicting movie revenue using pre-release metadata, textual content, and demographic features

Hu, Y.2025

tilburg Repository record for Fairness-aware machine learning for box office prediction : predicting movie revenue using pre-release metadata, textual content, and demographic features (opens in a new tab)

Achieving Differential Privacy and Fairness in Machine Learning

Xu, Depeng2024

<p>Machine learning algorithms are used to make decisions in various applications, such as recruiting, lending and policing. These algorithms rely on large amounts of sensitive individual information to work properly. Hence, there are sociological concerns about machine learning algorithms on …

arkansas Repository record for Achieving Differential Privacy and Fairness in Machine Learning (opens in a new tab)

Robust and Fair Machine Learning under Distribution Shift

Du, Wei2024

<p>Machine learning algorithms have been widely used in real world applications. The development of these techniques has brought huge benefits for many AI-related tasks, such as natural language processing, image classification, video analysis, and so forth. In traditional machine learning …

arkansas Repository record for Robust and Fair Machine Learning under Distribution Shift (opens in a new tab)