9 citations · 22 across the 4 of their papers we have counts for
4 papers
Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks
Jangho Park, Juliane Muller, Bhavna Arora +5
We present an approach that uses a deep learning model, in particular, a MultiLayer Perceptron (MLP), for estimating the missing values of a variable in multivariate time series da…
A Multistage Distributionally Robust Optimization Approach to Water Allocation under Climate Uncertainty
Jangho Park, Guzin Bayraksan
This paper investigates a Multistage Distributionally Robust Optimization (MDRO) approach to water allocation under climate uncertainty. The MDRO is formed by creating sets of cond…
Variance Reduction for Sequential Sampling in Stochastic Programming
Jangho Park, Rebecca Stockbridge, Güzin Bayraksan
This paper investigates the variance reduction techniques Antithetic Variates (AV) and Latin Hypercube Sampling (LHS) when used for sequential sampling in stochastic programming an…
Surrogate Optimization of Deep Neural Networks for Groundwater Predictions
Juliane Mueller, Jangho Park, Reetik Sahu +4
Sustainable management of groundwater resources under changing climatic conditions require an application of reliable and accurate predictions of groundwater levels. Mechanistic mu…