9 citations · 17 across the 6 of their papers we have counts for
7 papers
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…
The history and future prospects of open data and open source software
Feras A. Batarseh, Abhinav Kumar, Sam Eisenberg
Open data for all New Yorkers is the tagline on New York City's open data website. Open government is being promoted at most countries of the western world. Government transparency…
The application of artificial intelligence in software engineering: a review challenging conventional wisdom
Feras A. Batarseh, Rasika Mohod, Abhinav Kumar +1
The field of artificial intelligence (AI) is witnessing a recent upsurge in research, tools development, and deployment of applications. Multiple software companies are shifting th…
Foundations of data imbalance and solutions for a data democracy
Ajay Kulkarni, Deri Chong, Feras A. Batarseh
Dealing with imbalanced data is a prevalent problem while performing classification on the datasets. Many times, this problem contributes to bias while making decisions or implemen…
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…
Context-Driven Data Mining through Bias Removal and Data Incompleteness Mitigation
Feras A. Batarseh, Ajay Kulkarni
The results of data mining endeavors are majorly driven by data quality. Throughout these deployments, serious show-stopper problems are still unresolved, such as: data collection…