Heather Mattie
Artificial Intelligence · 2019
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
- Health Informatics — 6 citations into it; #146 of 240 by trust here, #106 by citations
- Health Information Management — 6 citations into it
Whom Heather Mattie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Heather Mattie overall
Papers from Heather Mattie's perspective
Ordered by how strongly the researchers Heather Mattie trusts endorse each paper. Same corpus, a different order for every researcher.
- Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
- A Clinically Applicable Approach to Continuous Prediction of Future Acute Kidney Injury
- Ethics Guidelines for Trustworthy AI
- Ensuring Fairness in Machine Learning to Advance Health Equity (Annals of Internal Medicine)
- Algorithmic Accountability
- Big Data's Disparate Impact
- Accountability in a computerized society
- CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
- Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
- Artificial Intelligence, Automation, and Work
Their papers
- Artificial intelligence and algorithmic bias: implications for health systems (2019) — 429 citations
- The “inconvenient truth” about AI in healthcare (2019) — 378 citations