23 citations · 98 across the 22 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
FHRFormer: A Self-supervised Transformer Approach for Fetal Heart Rate Inpainting and Forecasting
Kjersti Engan, Neel Kanwal, Anita Yeconia +4
Approximately 10\% of newborns require assistance to initiate breathing at birth, and around 5\% need ventilation support. Fetal heart rate (FHR) monitoring plays a crucial role in…
cs.LG2021
Nested Multiple Instance Learning with Attention Mechanisms
Saul Fuster, Trygve Eftestøl, Kjersti Engan
Strongly supervised learning requires detailed knowledge of truth labels at instance levels, and in many machine learning applications this is a major drawback. Multiple instance l…