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Ensemble Machine Learning Model Trained on a New Synthesized Dataset
  Generalizes Well for Stress Prediction Using Wearable Devices
v1v2 (latest)

Ensemble Machine Learning Model Trained on a New Synthesized Dataset Generalizes Well for Stress Prediction Using Wearable Devices

30 September 2022
Gideon Vos
Kelly Trinh
Zoltán Sarnyai
M. R. Azghadi
    OOD
ArXiv (abs)PDFHTML

Papers citing "Ensemble Machine Learning Model Trained on a New Synthesized Dataset Generalizes Well for Stress Prediction Using Wearable Devices"

6 / 6 papers shown
Title
Semi-Supervised Generative Adversarial Network for Stress Detection
  Using Partially Labeled Physiological Data
Semi-Supervised Generative Adversarial Network for Stress Detection Using Partially Labeled Physiological Data
Nibraas Khan
Nilanjan Sarkar
25
7
0
30 Jun 2022
Analysing the Performance of Stress Detection Models on Consumer-Grade
  Wearable Devices
Analysing the Performance of Stress Detection Models on Consumer-Grade Wearable Devices
Van-Tu Ninh
Sinéad Smyth
Minh-Triet Tran
C. Gurrin
38
9
0
18 Mar 2022
The worst of both worlds: A comparative analysis of errors in learning
  from data in psychology and machine learning
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Jessica Hullman
Sayash Kapoor
Priyanka Nanayakkara
Andrew Gelman
Arvind Narayanan
62
39
0
12 Mar 2022
The Effect of Person-Specific Biometrics in Improving Generic Stress
  Predictive Models
The Effect of Person-Specific Biometrics in Improving Generic Stress Predictive Models
Tianyi Shang
Anna Yokokubo
G. Lopez
29
35
0
04 Oct 2019
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLMCLL
127
2,725
0
26 Jun 2017
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
809
39,031
0
09 Mar 2016
1