Washington State University
Human-in-the-Loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data
Human-in-the-loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data
Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms
Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data
Performance Prediction for Graph Queries.
Monitoring and Planning Diet Behavior
Language and Policy Learning from Human-delivered Feedback.
Reinforcement learning for diet planning
Reinforcement learning: Monte Carlo method
Approximating weighted vertex cover using linear programming
User-guided reinforcement learning of robot assistive tasks for an intelligent environment.
Data Collection and Language Understanding of Food Descriptions
Conditional Random Fields
A food recognition system for diabetic patients based on an optimized bag-of-features model.
Dietcam: Multi-view food recognition using a multi-kernel svm.
Shortest Super-string Problem
A practical approach for recognizing eating moments with wrist-mounted inertial sensing.
A machine learning approach for medication adherence monitoring using body-worn sensors
S2NI: A mobile platform for nutrition monitoring from spoken data
A Machine Learning Approach For Medication Adherence Monitoring Using Body-Worn Sensors
Hidden Markov Model Part I
Machine Learning Inspired Power Management in Multicore Chips
Dynamic Programming Parsing for Context-Free Grammars in Continuous Speech Recognition