19 citations · 29 across the 4 of their papers we have counts for
4 papers
Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning
Feras A. Batarseh, Munisamy Gopinath, Anderson Monken +1
International economics has a long history of improving our understanding of factors causing trade, and the consequences of free flow of goods and services across countries. The re…
DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy
Sai Gurrapu, Feras A. Batarseh, Pei Wang +3
Quantitative metrics that measure the global economy's equilibrium have strong and interdependent relationships with the agricultural supply chain and international trade flows. Su…
Panel: Economic Policy and Governance during Pandemics using AI
Feras A. Batarseh, Munisamy Gopinath
The global food supply chain (starting at farms and ending with consumers) has been seriously disrupted by many outlier events such as trade wars, the China demand shock, natural d…
Application of Machine Learning in Forecasting International Trade Trends
Feras Batarseh, Munisamy Gopinath, Ganesh Nalluru +1
International trade policies have recently garnered attention for limiting cross-border exchange of essential goods (e.g. steel, aluminum, soybeans, and beef). Since trade critical…