notesum.ai
Published at November 21Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare
cs.AI
Released Date: November 21, 2024
Authors: SungHeon Jeong1, Hamza Errahmouni Barkam1, Sanggeon Yun1, Yeseong Kim2, Shaahin Angizi1, Mohsen Imani1
Aff.: 1University of California, Irvine, CA, USA; 2DGIST, Daegu 42988, South Korea

| Dataset | Adaboost | RF | XGBoost | SVM | DNN | OnlineHD | BoostHD |
|---|---|---|---|---|---|---|---|
| WESAD | 93.13 0.01 | 97.13 0.06 | 96.88 0.01 | 93.12 0.01 | 96.75 1.05 | 96.37 0.40 | 98.37 0.32 |
| Nurse Stress Dataset | 55.28 0.01 | 59.35 0.78 | 61.01 0.01 | 60.99 0.01 | 60.04 0.06 | 61.37 0.10 | 61.52 0.07 |
| Stress-Predict Dataset | 67.54 0.01 | 67.76 0.12 | 65.76 0.01 | 67.30 0.01 | 67.29 0.07 | 65.79 0.17 | 68.10 0.09 |