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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
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
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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