Edison Thomaz

Applications of machine learning in drug discovery and development

Automated Personalized Feedback for Physical Activity and Dietary Behavior Change With Mobile Phones: A Randomized Controlled Trial on Adults

End-to-end design of wearable sensors

Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support

Crumbs

Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning

Wearable sensors for continuous oral cavity and dietary monitoring toward personalized healthcare and digital medicine

Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review

Barriers and Negative Nudges

Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications

A practical approach for recognizing eating moments with wrist-mounted inertial sensing

Feasibility of identifying eating moments from first-person images leveraging human computation