J. Onofrey

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Health Informatics — 13 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it

Whom J. Onofrey trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Stefan Harrer
2. Faisal Kamiran

Papers from J. Onofrey's perspective

Ordered by how strongly the researchers J. Onofrey trusts endorse each paper. Same corpus, a different order for every researcher.

1. Improving Language Understanding by Generative Pre-Training
2. Deep Learning
3. SMOTE: Synthetic Minority Over-sampling Technique
4. Fairness-Aware Classifier with Prejudice Remover Regularizer
5. Dissecting racial bias in an algorithm used to manage the health of populations
6. Data preprocessing techniques for classification without discrimination
7. Persistent Anti-Muslim Bias in Large Language Models
8. A Survey on Bias and Fairness in Machine Learning (ACM Computing Surveys)
9. A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges (Information Fusion)
10. Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review (British medical journal)

Their papers

• Bias in medical AI: Implications for clinical decision-making (2024) — 422 citations