| Predicting Student Performance in an Educational Game Using a Hidden Markov Model M Tadayon, GJ Pottie IEEE Transactions on Education 63 (Nov. 2020), 299 - 304, 2020 | 43 | 2020 |
| A clustering approach to time series forecasting using neural networks: A comparative study on distance-based vs. feature-based clustering methods M Tadayon, Y Iwashita arXiv preprint arXiv:2001.09547v2, 9, 2021 | 11 | 2021 |
| Comprehensive analysis of time series forecasting using neural networks M Tadayon, Y Iwashita arXiv preprint arXiv:2001.09547, 2020 | 9 | 2020 |
| Comparative analysis of the hidden markov model and lstm: A simulative approach M Tadayon, G Pottie arXiv preprint arXiv:2008.03825, 2020 | 8 | 2020 |
| Tsbngen: A python library to generate time series data from an arbitrary dynamic bayesian network structure M Tadayon, G Pottie arXiv preprint arXiv:2009.04595, 2020 | 3 | 2020 |
| Causal inference in educational systems: A graphical modeling approach M Tadayon, G Pottie arXiv preprint arXiv:2108.00654, 2021 | 1 | 2021 |
| Causal Inference for Personalized Educational Systems M Tadayon University of California, Los Angeles, 2021 | | 2021 |
Yumi IwashitaNASA Jet Propulsion LaboratoryVerified email at jpl.nasa.gov
