Adaptive Electronic Quizzing Method for Introductory Electrical Circuit Course. - Ruba Akram Amarin; Feras Batarseh; Issa Batarseh (Int. J. Online Eng., 2009)

Java nano patterns: a set of reusable objects. - Feras Batarseh (ACM Southeast Regional Conference, 2010)

On the performance of fitness uniform selection for non-deceptive problems. - Ruben Ramirez-Padron; Feras Batarseh; Kyle Heyne; Annie S. Wu; Avelino J. Gonzalez (ACM Southeast Regional Conference, 2010)

Context-Assisted Test Cases Reduction for Cloud Validation. - Feras Batarseh; Avelino J. Gonzalez; Rainer Knauf (CONTEXT, 2013)

Incremental Lifecycle Validation of Knowledge-Based Systems Through CommonKADS. - Feras Batarseh; Avelino J. Gonzalez (IEEE Trans. Syst. Man Cybern. Syst., 2013)

Context-Driven Testing on the Cloud. - Feras A. Batarseh (Context in Computing, 2014)

Validation of knowledge-based systems: a reassessment of the field. - Feras A. Batarseh; Avelino J. Gonzalez (Artif. Intell. Rev., 2015)

Assessing the Quality of Service Using Big Data Analytics: With Application to Healthcare. - Feras A. Batarseh; Eyad Abdel Latif (Big Data Res., 2016)

Intelligent methods for managing geospatial data at the US federal government. - Feras A. Batarseh; Ruixin Yang (Agro-Geoinformatics, 2017)

Context-Aware User Interfaces for Intelligent Emergency Applications. - Feras A. Batarseh; Jash Pithadia (CONTEXT, 2017)

Augmenting Policy Making for Autonomous Vehicles Through Geoinformatics and Psychographics. - Feras A. Batarseh; Shruthi Chanthati; Nithin Kotte; Abhinav Kumar (Agro-Geoinformatics, 2018)

Geo-Enabled Text Analytics through Sentiment Scoring and Hierarchical Clustering. - Feras A. Batarseh; Gayatri Nambiar; Gerald Gendron; Ruixin Yang (Agro-Geoinformatics, 2018)

Predicting failures in agile software development through data analytics. - Feras A. Batarseh; Avelino J. Gonzalez (Softw. Qual. J., 2018)

Context-Driven Data Mining Through Bias Removal and Incompleteness Mitigation. - Feras Batarseh; Ajay Kulkarni (EDML@SDM, 2019)

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

Context-Driven Data Mining through Bias Removal and Data Incompleteness Mitigation. - Feras A. Batarseh; Ajay Kulkarni (CoRR, 2019)

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

Preventive healthcare policies in the US: solutions for disease management using Big Data Analytics. - Feras A. Batarseh; Iya Ghassib; Deri (Sondor) Chong; Po-Hsuan Su (J. Big Data, 2020)

Explainable Artificial Intelligence for Technology Policy Making Using Attribution Networks. - Feras A. Batarseh; Dominick Perini; Qasim Wani; Laura J. Freeman (AI*IA, 2021)

Technology Policy Recommendations Using Artificial Intelligence. - Ashita Anuga; Minh Nguyen; Dominick Perini; Andrei Svetovidov; Amanda Tolman; Qasim Wani; Feras A. Batarseh (FLAIRS, 2021)

Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Allocation. - Feras A. Batarseh; Chih-Hao Huang (FLAIRS, 2021)

Applications of Machine Learning For Precision Agriculture and Smart Farming. - Sai Gurrapu; Nazmul Sikder; Pei Wang; Nitish Gorentala; Madison Williams; Feras A. Batarseh (FLAIRS, 2021)

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)

Foundations of data imbalance and solutions for a data democracy. - Ajay Kulkarni; Deri Chong; Feras A. Batarseh (CoRR, 2021)

The application of artificial intelligence in software engineering: a review challenging conventional wisdom. - Feras A. Batarseh; Rasika Mohod; Abhinav Kumar; Justin Bui (CoRR, 2021)

The history and future prospects of open data and open source software. - Feras A. Batarseh; Abhinav Kumar; Sam Eisenberg (CoRR, 2021)

Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Management. - Chih-Hao Huang; Feras A. Batarseh; Adel Boueiz; Ajay Kulkarni; Po-Hsuan Su; Jahan Aman (CoRR, 2021)

A Survey on AI Assurance. - Feras A. Batarseh; Laura J. Freeman (CoRR, 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)

Outlier Detection using AI: A Survey. - Md. Nazmul Kabir Sikder; Feras A. Batarseh (CoRR, 2021)

AI Assurance using Causal Inference: Application to Public Policy. - Andrei Svetovidov; Abdul Rahman; Feras A. Batarseh (CoRR, 2021)

A survey on artificial intelligence assurance. - Feras A. Batarseh; Laura J. Freeman; Chih-Hao Huang (J. Big Data, 2021)

Enabling AI Adoption through Assurance. - Jaganmohan Chandrasekaran; Feras A. Batarseh; Laura J. Freeman; Raghu Kacker; M. S. Raunak 001; Rick Kuhn (FLAIRS, 2022)

Trustworthy AI Solutions for Cyberbiosecurity Challenges in Water Supply Systems. - Wan-Yi Mao; Mehmet Yardimci; Minh Nguyen; Dan Sobien; Laura J. Freeman; Feras A. Batarseh; Abdul Rahman; Vinita Fordham (FLAIRS, 2022)

The Path to a Consensus on Artificial Intelligence Assurance. - Laura J. Freeman; Feras A. Batarseh; D. Richard Kuhn; M. S. Raunak 001; Raghu N. Kacker (Computer, 2022)

Cybersecurity Law: Legal Jurisdiction and Authority. - Feras A. Batarseh (CoRR, 2022)

Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges. - Feras A. Batarseh; Priya L. Donti; Ján Drgona; Kristen Fletcher; Pierre-Adrien Hanania; Melissa Hatton; Srinivasan Keshav; Bran Knowles; Raphaela Kotsch; Sean McGinnis; Peetak Mitra; Alex Philp; et al. (CoRR, 2022)

Rationalization for Explainable NLP: A Survey. - Sai Gurrapu; Ajay Kulkarni; Lifu Huang; Ismini Lourentzou; Laura J. Freeman; Feras A. Batarseh (CoRR, 2023)

ExClaim: Explainable Neural Claim Verification Using Rationalization. - Sai Gurrapu; Lifu Huang; Feras A. Batarseh (CoRR, 2023)

ACWA: An AI-driven Cyber-Physical Testbed for Intelligent Water Systems. - Feras A. Batarseh; Ajay Kulkarni; Chhayly Sreng; Justice Lin; Siam Maksud (CoRR, 2023)

Human-in-the-loop for computer vision assurance: A survey. - Matthew Wilchek; Will Hanley; Jude Lim; Kurt Luther; Feras A. Batarseh (Eng. Appl. Artif. Intell., 2023)

Rationalization for explainable NLP: a survey. - Sai Gurrapu; Ajay Kulkarni; Lifu Huang; Ismini Lourentzou; Feras A. Batarseh (Frontiers Artif. Intell., 2023)

AI for Water. - Feras A. Batarseh; Ajay Kulkarni (Computer, 2023)

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)

KHAIT: K-9 Handler Artificial Intelligence Teaming for Collaborative Sensemaking. - Matthew Wilchek; Linhan Wang; Sally Dickinson; Erica Feuerbacher; Kurt Luther; Feras A. Batarseh (IUI, 2025)

Towards Securing Water Systems Communications from Adversarial Attacks using AI Assurance. - Mehmet Yardimci; Feras A. Batarseh (MENACOMM, 2025)

Assessing the Fidelity and Utility of Water Systems Data Using Generative Adversarial Networks: A Technical Review. - Md. Nazmul Kabir Sikder; Yingjie Wang; Feras A. Batarseh (IEEE Access, 2025)

Ajna: A Wearable Shared Perception System for Extreme Sensemaking. - Matthew Wilchek; Kurt Luther; Feras A. Batarseh (ACM Trans. Interact. Intell. Syst., 2025)