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Nhat Rich Nguyen
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2020 – today
- 2023
- [c11]Harsh Padhye, Rachel Gibson, Glen Bull, Nhat Rich Nguyen:
Does Musical Context Improve Computational Thinking Skills? SIGCSE (2) 2023: 1231 - [c10]Param Damle, Glen Bull, Jo Watts, Nhat Rich Nguyen:
Automated Structural Evaluation of Block-based Coding Assignments. SIGCSE (2) 2023: 1300 - 2022
- [c9]Ankit Gupta, Adriel Kim, Abhir Karande, Shuo Yan, Shiva Manandhar, Nhat Rich Nguyen:
Validating Crowdsourced Flood Images using Machine Learning and Real-time Weather Data. BigDataSE 2022: 7-12 - [c8]Nhat Rich Nguyen, Harsh Padhye, Eric Stein, Glen Bull:
TuneScope: Engaging Novices to Computational Thinking through Music. SIGCSE (2) 2022: 1181 - 2020
- [c7]Nhat Rich Nguyen:
Toward an Open-source Toolkit for Machine Learning Education. SIGCSE 2020: 1400
2010 – 2019
- 2019
- [c6]Nhat Rich Nguyen, Iuliia Poliakova, Sahithi Meduri, Joshua Hutcheson, Ryan Ke:
CodeNC: Integrating Computational Thinking into K-12 Instructional Activities using Animated Videos. SIGCSE 2019: 1276 - 2018
- [c5]Nhat Rich Nguyen:
Affective Peer Tutoring: (Abstract Only). SIGCSE 2018: 1085 - 2017
- [c4]Nhat Rich Nguyen, Min C. Shin:
Detecting Social Insects in Videos Using Spatiotemporal Regularization. WACV 2017: 493-500 - 2016
- [c3]Stephen J. Schmugge, Lance Rice, Nhat Rich Nguyen, John Lindberg, Robert Grizzi, Chris Joffe, Min C. Shin:
Detection of cracks in nuclear power plant using spatial-temporal grouping of local patches. WACV 2016: 1-7 - 2013
- [c2]Nhat Rich Nguyen, Matina Donalson-Matasci, Min C. Shin:
Improving pollen classification with less training effort. WACV 2013: 421-426 - 2011
- [c1]Nhat Rich Nguyen, Eric Norris, Mark G. Clemens, Min C. Shin:
Rapidly Adaptive Cell Detection Using Transfer Learning with a Global Parameter. MLMI 2011: 209-216
Coauthor Index
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