- Tiny, Always-on, and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows
- Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature
- Mr thermometry accuracy and prospective imaging-based patient selection in mr-guided hyperthermia treatment for locally advanced cervical cancer
- De (On)mogelijkheden van machine learning voor het verminderen van bias en discriminatie bij personeelsbeslissingen
- Evaluating the benefits of merging near-real-time satellite precipitation products: A case study in the Kinu basin region, Japan