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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

A Deterministic Neural Network Approach to Playing Gin Rummy

Published in AAAI, 2021

This paper describes a deterministic approach to building a fixed-strategy gin rummy player. We develop and evaluate both heuristic and neural network models for informing draw, discard, and knock decisions in the game.

Recommended citation: Nguyen, V. D., Doan, D., & Neller, T. W. (2021). A Deterministic Neural Network Approach to Playing Gin Rummy. Proceedings of the AAAI Conference on Artificial Intelligence, 35(17), 15622-15629. https://doi.org/10.1609/aaai.v35i17.17840 http://rxng8.github.io/files/aaai-21.pdf

Predicting Perceived Music Emotions with Respect to Instrument Combinations

Published in AAAI, 2023

We compare the accuracy difference between music emotion recognition models given music pieces as a whole versus music pieces separated by instruments. We provide empirical evidence that training Random Forest and Convolution Recurrent Neural Network with mixed instrumental music data conveys a better understanding of emotion than training the same models with music that are separated into each instrumental source

Recommended citation: Nguyen, V. D., Nguyen, Q. H., & Freedman, R. G. (2023). Predicting Perceived Music Emotions with Respect to Instrument Combinations. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16078-16086. https://doi.org/10.1609/aaai.v37i13.26910 http://rxng8.github.io/files/aaai-23.pdf

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.