| Foundations of data imbalance and solutions for a data democracy A Kulkarni, D Chong, FA Batarseh Data democracy, 83-106, 2020 | 385 | 2020 |
| Assessing the Quality of Service using Big Data Analytics with Application to Healthcare FA Batarseh, EA Latif Big Data Research, 2015 | 98 | 2015 |
| A survey on artificial intelligence assurance FA Batarseh, L Freeman, CH Huang Journal of Big Data 8 (1), 60, 2021 | 90 | 2021 |
| Predicting failures in agile software development through data analytics FA Batarseh, AJ Gonzalez Software Quality Journal 26, 49-66, 2018 | 55 | 2018 |
| Applied machine learning in social sciences: neural networks and crime prediction RF Reier Forradellas, SL Náñez Alonso, J Jorge-Vazquez, ML Rodriguez Social Sciences 10 (1), 4, 2020 | 38* | 2020 |
| Encyclopedia of Big Data C Batarseh, F., Schintler, L., McNeely https://www.springer.com/gp/book/9783319320090#aboutAuthors 1, ISBN 978-3 …, 2020 | 38* | 2020 |
| Context in computing: a cross-disciplinary approach for modeling the real world P Brézillon, AJ Gonzalez Springer, 2014 | 32 | 2014 |
| Data democracy: at the nexus of artificial intelligence, software development, and knowledge engineering FA Batarseh, R Yang Academic Press, 2020 | 31 | 2020 |
| Preventive healthcare policies in the US: solutions for disease management using Big Data Analytics FA Batarseh, I Ghassib, D Chong, PH Su Journal of big Data 7 (1), 38, 2020 | 28 | 2020 |
| Artificial Intelligence and international trade: Some preliminary implications J Ferencz, JL González, IO García OECD, 2022 | 27 | 2022 |
| Federal data science: Transforming government and agricultural policy using artificial intelligence FA Batarseh, R Yang Academic Press, 2017 | 26 | 2017 |
| Outlier detection using AI: a survey MNK Sikder, FA Batarseh AI Assurance, 231-291, 2023 | 25 | 2023 |
| Incremental lifecycle validation of knowledge-based systems through CommonKADS FA Batarseh, AJ Gonzalez IEEE Transactions on Systems, Man, and Cybernetics: Systems 43 (3), 643-654, 2013 | 25 | 2013 |
| The application of artificial intelligence in software engineering: a review challenging conventional wisdom FA Batarseh, R Mohod, A Kumar, J Bui Data democracy, 179-232, 2020 | 23 | 2020 |
| Rationalization for explainable NLP: a survey S Gurrapu, A Kulkarni, L Huang, I Lourentzou, FA Batarseh Frontiers in Artificial Intelligence 6, 1225093, 2023 | 22 | 2023 |
| Enabling artificial intelligence adoption through assurance L Freeman, A Rahman, FA Batarseh Social Sciences 10 (9), 322, 2021 | 22 | 2021 |
| Clustering by periodontitis‐associated factors: A novel application to NHANES data IH Ghassib, FA Batarseh, HL Wang, WS Borgnakke Journal of Periodontology 92 (8), 1136-1150, 2021 | 22 | 2021 |
| International agricultural trade forecasting using machine learning M Gopinath, FA Batarseh, J Beckman, A Kulkarni, S Jeong Data & Policy 3, e1, 2021 | 21 | 2021 |
| Application of machine learning in forecasting international trade trends F Batarseh, M Gopinath, G Nalluru, J Beckman arXiv preprint arXiv:1910.03112, 2019 | 20 | 2019 |
| Machine learning in gravity models: An application to agricultural trade M Gopinath, FA Batarseh, J Beckman National Bureau of Economic Research, 2020 | 19 | 2020 |
Ajay KulkarniVirginia Tech在 vt.edu 的电子邮件经过验证
