113 citations · 238 across the 20 of their papers we have counts for
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Outlier Detection using AI: A Survey
Md Nazmul Kabir Sikder, Feras A. Batarseh
An outlier is an event or observation that is defined as an unusual activity, intrusion, or a suspicious data point that lies at an irregular distance from a population. The defini…
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…
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…
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…