Application of Machine Learning in Forecasting International Trade Trends. - Feras Batarseh; Munisamy Gopinath; Ganesh Nalluru; Jayson Beckman (CoRR, 2019)

Panel: Economic Policy and Governance during Pandemics using AI. - Feras A. Batarseh; Munisamy Gopinath (CoRR, 2020)

Graph Neural Networks for Modeling Causality in International Trade. - Anderson Monken; Flora Haberkorn; Munisamy Gopinath; Laura J. Freeman; Feras A. Batarseh (FLAIRS, 2021)

DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy. - Sai Gurrapu; Feras A. Batarseh; Pei Wang; Md. Nazmul Kabir Sikder; Nitish Gorentala; Munisamy Gopinath (SSCI, 2021)

Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning. - Feras A. Batarseh; Munisamy Gopinath; Anderson Monken; Zhengrong Gu (CoRR, 2021)

A Review of Cybersecurity Incidents in the Food and Agriculture Sector. - Ajay Kulkarni; Yingjie Wang; Munisamy Gopinath; Dan Sobien; Abdul Rahman; Feras A. Batarseh (CoRR, 2024)

Joint Prediction of U.S. Rice Yields and Methane Emissions: A Machine Learning Approach. - Jameson Augustin; Munisamy Gopinath; Berna Karali; Yuhan Rao (IEEE Access, 2025)