7 citations · 12 across the 6 of their papers we have counts for
6 papers
Graphs RAG at Scale: Beyond Retrieval-Augmented Generation With Labeled Property Graphs and Resource Description Framework for Complex and Unknown Search Spaces
Manie Tadayon, Mayank Gupta
Recent advances in Retrieval-Augmented Generation (RAG) have revolutionized knowledge-intensive tasks, yet traditional RAG methods struggle when the search space is unknown or when…
Causal Inference in Educational Systems: A Graphical Modeling Approach
Manie Tadayon, Greg Pottie
Educational systems have traditionally been evaluated using cross-sectional studies, namely, examining a pretest, posttest, and single intervention. Although this is a popular appr…
tsBNgen: A Python Library to Generate Time Series Data from an Arbitrary Dynamic Bayesian Network Structure
Manie Tadayon, Greg Pottie
Synthetic data is widely used in various domains. This is because many modern algorithms require lots of data for efficient training, and data collection and labeling usually are a…
Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach
Manie Tadayon, Greg Pottie
Time series and sequential data have gained significant attention recently since many real-world processes in various domains such as finance, education, biology, and engineering c…
A clustering approach to time series forecasting using neural networks: A comparative study on distance-based vs. feature-based clustering methods
Manie Tadayon, Yumi Iwashita
Time series forecasting has gained lots of attention recently; this is because many real-world phenomena can be modeled as time series. The massive volume of data and recent advanc…
Predicting Student Performance in an Educational Game Using a Hidden Markov Model
Manie Tadayon, Greg Pottie
Contributions: Prior studies on education have mostly followed the model of the cross sectional study, namely, examining the pretest and the posttest scores. This paper shows that…