82 citations · 82 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Learning Normal Representations for Blood Biomarkers
Aashna P. Shah, Michelle M. Li, Yash Lal +9
Blood-based biomarkers underpin clinical diagnosis and management, yet their interpretation relies largely on fixed population reference intervals that ignore stable, intra-patient…
cs.LG2019★ 82 cited
Explaining Anomalies Detected by Autoencoders Using SHAP
Liat Antwarg, Ronnie Mindlin Miller, Bracha Shapira +1
Anomaly detection algorithms are often thought to be limited because they don't facilitate the process of validating results performed by domain experts. In Contrast, deep learning…