Comprehensive Analysis of Time Series Forecasting Using Neural Networks. - Manie Tadayon; Yumi Iwashita (CoRR, 2020)

Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach. - Manie Tadayon; Greg Pottie (CoRR, 2020)

tsBNgen: A Python Library to Generate Time Series Data from an Arbitrary Dynamic Bayesian Network Structure. - Manie Tadayon; Greg Pottie (CoRR, 2020)

Predicting Student Performance in an Educational Game Using a Hidden Markov Model. - Manie Tadayon; Gregory J. Pottie (IEEE Trans. Educ., 2020)

Causal Inference in Educational Systems: A Graphical Modeling Approach. - Manie Tadayon; Greg Pottie (CoRR, 2021)