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ORCIDDiane Myung-kyung Woodbridge
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2020 – today
- 2023
[c14]Tejaswi Samrat Dasari, Pratima Satish, Laetitia Kayitesi, Mary Mbuvi, Russell Dias, Fabiola Ishimwe Ngamije, Joseph Kwesiga, Robert On, Diane Myung-kyung Woodbridge:
Transforming Adolescent Healthcare in Rwanda: Sustainable and Scalable Features in Digital Health. BHI 2023: 1-4- 2022
- [c13]Sandhya Kiran Reddy Donthireddy, Jee Hyun Suh, Diane Myung-kyung Woodbridge:
Orthotic Prescription for Pediatric Flexible Flat Feet using Convolutional Neural Networks. EMBC 2022: 1105-1108 - [c12]Chahak Sethi, Melvin Vellera, Diane Myung-kyung Woodbridge, Joey Jonghoon Ahnn:
Bundle Recommender from Recipes to Shopping Carts - Optimizing Ingredients, Kitchen Gadgets and their Quantities. ORSUM@RecSys 2022 - 2021
- [c11]Hashneet Kaur, Patrick Ka-Cheong Poon, Sophie Yuefei Wang, Diane Myung-kyung Woodbridge:
Depression Level Prediction in People with Parkinson's Disease during the COVID-19 Pandemic. EMBC 2021: 2248-2251 - [c10]Victor Palacios, Diane Myung-kyung Woodbridge, Jean L. Fry
:
Machine Learning-based Meal Detection Using Continuous Glucose Monitoring on Healthy Participants: An Objective Measure of Participant Compliance to Protocol. EMBC 2021: 7032-7035 - 2020
- [j2]Donya Fozoonmayeh, Hai Vu Le, Ekaterina Wittfoth, Chong Geng, Natalie Ha, Jingjue Wang, Maria Vasilenko, Yewon Ahn, Diane Myung-kyung Woodbridge:
A Scalable Smartwatch-Based Medication Intake Detection System Using Distributed Machine Learning. J. Medical Syst. 44(3): 76 (2020) - [c9]Nithish Bolleddula, Geoffrey Yau Chun Hung, Daren Ma, Hoda Noorian, Diane Myung-kyung Woodbridge:
Sensor Selection for Activity Classification at Smart Home Environments. EMBC 2020: 3927-3930 - [c8]Andy Cheon, Stephanie Yeoju Jung, Collin Prather, Matthew Sarmiento, Kevin Wong, Diane Myung-kyung Woodbridge:
A Machine Learning Approach to Detecting Low Medication State with Wearable Technologies. EMBC 2020: 4252-4255
2010 – 2019
- 2019
- [c7]Deena Liz John, Ernest Kim, Kunal Kotian, Ker Yu Ong, Tyler White, Luba Gloukhova, Diane Myung-kyung Woodbridge, Nicholas Ross:
Topic Modeling to Extract Information from Nutraceutical Product Reviews. CCNC 2019: 1-6 - [c6]Prakhar Agrawal, Divya Bhargavi, Gokul Krishna G., Xiao Han, Neha Tevathia, Abbie M. Popa, Nicholas Ross, Diane Myung-kyung Woodbridge, Barbie Zimmerman-Bier, William Bosl:
A Scalable Automated Diagnostic Feature Extraction System for EEGs. COMPSAC (2) 2019: 446-451 - [c5]Aditi Sharma, Shivee Singh, Brian Wright, Alan Perry, Diane Myung-kyung Woodbridge, Abbie M. Popa:
Scalable Motor Movement Recognition from Electroencephalography using Machine Learning. COMPSAC (2) 2019: 484-489 - 2018
- [c4]Jinxin Ma, Anaelia Ovalle, Diane Myung-kyung Woodbridge:
Medhere: A Smartwatch-based Medication Adherence Monitoring System using Machine Learning and Distributed Computing. EMBC 2018: 4945-4948 - 2017
- [c3]Lin Chen, Rui Li, Yige Liu, Ruixuan Zhang, Diane Myung-kyung Woodbridge:
Machine learning-based product recommendation using Apache Spark. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - 2015
- [j1]David J. Stracuzzi, Randy C. Brost, Cynthia A. Phillips, David G. Robinson, Alyson G. Wilson, Diane Myung-kyung Woodbridge:
Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs. Stat. Anal. Data Min. 8(5-6): 340-352 (2015) - [c2]Diane Myung-kyung Woodbridge, Andrew T. Wilson, Mark D. Rintoul, Richard H. Goldstein:
Time series discord detection in medical data using a parallel relational database. BIBM 2015: 1420-1426 - 2014
- [c1]Randy C. Brost, William C. McLendon III, Ojas Parekh, Mark D. Rintoul, David R. Strip, Diane Myung-kyung Woodbridge:
A computational framework for ontologically storing and analyzing very large overhead image sets. BigSpatial@SIGSPATIAL 2014: 1-10
Coauthor Index
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