184 citations · 270 across the 14 of their papers we have counts for
3 papers · 1 filter
SPADE4: Sparsity and Delay Embedding based Forecasting of Epidemics
Esha Saha, Lam Si Tung Ho, Giang Tran
Predicting the evolution of diseases is challenging, especially when the data availability is scarce and incomplete. The most popular tools for modelling and predicting infectious…
SRMD: Sparse Random Mode Decomposition
Nicholas Richardson, Hayden Schaeffer, Giang Tran
Signal decomposition and multiscale signal analysis provide many useful tools for time-frequency analysis. We proposed a random feature method for analyzing time-series data by con…
HARFE: Hard-Ridge Random Feature Expansion
Esha Saha, Hayden Schaeffer, Giang Tran
We propose a random feature model for approximating high-dimensional sparse additive functions called the hard-ridge random feature expansion method (HARFE). This method utilizes a…