Auto-generated label distributions let IMU exercise networks match one-hot classification while more reliably detecting ambiguous borderline repetitions and their competing classes.
Patient Involvement With Home-Based Exercise Programs: Can Con- nected Health Interventions Influence Adherence? JMIR mHealth and uHealth 2018, 6, e47
1 Pith paper cite this work, alongside 315 external citations. Polarity classification is still indexing.
1
Pith paper citing it
315
external citations · OpenAlex
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Representing and Detecting Label Ambiguity in IMU-Based Exercise Evaluation
Auto-generated label distributions let IMU exercise networks match one-hot classification while more reliably detecting ambiguous borderline repetitions and their competing classes.