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Posts by Collection
portfolio
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publications
Activity Recognition and Classification via Deep Neural Networks
Published in TridentCom (International Conference on Testbeds and Research Infrastructures), 2019
Deep neural networks for activity recognition.
Analysis and Implementation of Multidimensional Data Visualization Methods in Large-Scale Power Internet of Things
Published in International Conference on Broadband Communications, Networks and Systems (BroadNets), 2019
RadViz-t implementation for large-scale data visualization.
Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women Using Machine Learning and Explainability
Published in JMIR mHealth and uHealth, 2022
Explainable ML for next-day stress prediction in pregnancy.
Experience: Barriers and Opportunities of Wearables for Eating Research
Published in CHI, 2023
Opportunities and challenges of wearables for eating research.
An End-to-End Energy-Efficient Approach for Intake Detection with Low Inference Time Using a Wrist-Worn Sensor
Published in IEEE Journal of Biomedical and Health Informatics (JBHI), 2023
Low-latency, energy-efficient intake detection on wrist IMU.
HealthSense: Unobtrusive Continuous Stress Monitoring Using a Novel Dual ECG-PPG Patch
Published in IEEE-EMBS Body Sensor Networks (BSN), 2024
Dual-lead ECG-PPG patch for continuous stress sensing.
GULP-KG: Graphical Understanding of Lifestyle Patterns with Knowledge Graphs
Published in AAAI, 2025
Knowledge-graph framework for lifestyle pattern mining.
Unveiling overeating patterns within digital longitudinal data on eating behaviors and contexts
Published in npj Digital Medicine, 2025
Longitudinal ML pipeline reveals overeating patterns.
Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables
Published in Nature Scientific Reports, 2025
BMI-inclusive energy expenditure estimation on wrist-worn sensors.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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