1 citations · 1 across the 3 of their papers we have counts for
4 papers
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement
Ali Tazarv, Sina Labbaf, Amir M. Rahmani +2
Real-time physiological data collection and analysis play a central role in modern well-being applications. Personalized classifiers and detectors have been shown to outperform gen…
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings
Ali Tazarv, Sina Labbaf, Stephanie M. Reich +3
Since stress contributes to a broad range of mental and physical health problems, the objective assessment of stress is essential for behavioral and physiological studies. Although…
A Deep Learning Approach to Predict Blood Pressure from PPG Signals
Ali Tazarv, Marco Levorato
Blood Pressure (BP) is one of the four primary vital signs indicating the status of the body's vital (life-sustaining) functions. BP is difficult to continuously monitor using a sp…
ParsiNLU: A Suite of Language Understanding Challenges for Persian
Daniel Khashabi, Arman Cohan, Siamak Shakeri +22
Despite the progress made in recent years in addressing natural language understanding (NLU) challenges, the majority of this progress remains to be concentrated on resource-rich l…