36 journal articles, 8 conference papers, 2 preprints, 1 dataset and 1 online article, grouped by year with the most recent year first. Entries with a DOI link to their DOI records. My publications are also indexed on my Google Scholar, Scopus and ORCID profiles.
Abu Jassar, N. J., Almalkawi, I. T., Al-Hammouri, M. F., Omari, T., & Al Bataineh, A. (2026). MultiCaRe-Thorax: A Curated Benchmark Dataset and Reproducible Labeling Framework for Multi-Label Thoracic Disease Classification in Chest X-Ray Imaging. Journal of Imaging, 12(10), 484. https://doi.org/10.3390/jimaging12100484
Al-Refai, A., Al-Hammouri, M. F., Vamsi, B., & Al Bataineh, A. (2026). RNAFoldDiff-Based Sequence-Aware Graph Diffusion for Accurate RNA 3D Structure Prediction. Algorithms, 19(5), 381. https://doi.org/10.3390/a19050381
AlZaabi, F., & Al Bataineh, A. (2026). Water-Content-Aware Machine Learning for Screening Multiphysics Tissue Property Tables. IEEE Pulse, 17(2), 46-54. https://doi.org/10.1109/MPULS.2026.3677945
Al-Hammouri, M. F., Vamsi, B., Almalkawi, I. T., & Al Bataineh, A. (2026). X-HEM: An Explainable and Trustworthy AI-Based Framework for Intelligent Healthcare Diagnostics. Computers, 15(1), 33. https://doi.org/10.3390/computers15010033
Al Bataineh, A., Vamsi, B., & Smith, S. A. (2026). A Hybrid Machine Learning Framework for Water Quality Index Prediction Using Feature-Based Neural Network Initialization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 19, 4887-4905. https://doi.org/10.1109/JSTARS.2026.3654017
Adkins, J., Al Bataineh, A., & Khanal, A. (2025). A psycholinguistic NLP framework for forensic text analysis of deception and emotion. Frontiers in Artificial Intelligence, 8, 1669542. https://doi.org/10.3389/frai.2025.1669542
Carwright, N., Biel, F. M., Hoopes, M., Al Bataineh, A., Rivera, P., Bet, K., & Cook, N. (2025). Identifying Firearm Violence Exposure in Primary Care Clinical Notes: Protocol for Developing a National Language Processing Text Classifier. JMIR Research Protocols, 14, e76681. https://doi.org/10.2196/76681
Al Bataineh, A., Vamsi, B., El-Abd, M., & Doppala, B. P. (2025). Kolmogorov–Arnold Networks for predicting carotid intima-media thickness in cardiovascular risk assessment. Scientific Reports, 15(1), 32108. https://doi.org/10.1038/s41598-025-14869-1
Al Bataineh, A., Sickler, R., Kurcz, K., & Pedersen, K. (2025). AI-Generated Versus Human Text: Introducing a New Dataset for Benchmarking and Analysis. IEEE Transactions on Artificial Intelligence, 6(8), 2241-2252. https://doi.org/10.1109/TAI.2025.3544183
Al Bataineh, A., Vamsi, B., & Al-Refai, A. (2025). Predicting Diabetic Distress and Emotional Burden in Type-2 Diabetes Using Explainable AI. IEEE Access, 13, 109484-109502. https://doi.org/10.1109/ACCESS.2025.3582191
Cook, N., Biel, F. M., Bet, K. A., Sills, M. R., Al Bataineh, A., Rivera, P., Templeton, A. R., & Cartwright, N. (2025). Engaging Stakeholders With Professional or Lived Experience to Improve Firearm Violence Lexicon Development. JMIR Formative Research, 9, e68105. https://doi.org/10.2196/68105
Adkins, J., Al Bataineh, A., & Khalaf, M. (2024). Identifying Persons of Interest in Digital Forensics Using NLP-Based AI. Future Internet, 16(11), 426. https://doi.org/10.3390/fi16110426
Cook, N., Biel, F. M., Cartwright, N., Hoopes, M., Al Bataineh, A., & Rivera, P. (2024). Assessing the use of unstructured electronic health record data to identify exposure to firearm violence. JAMIA Open, 7(4), ooae120. https://doi.org/10.1093/jamiaopen/ooae120
Vamsi, B., Al Bataineh, A., & Doppala, B. P. (2024). Machine Learning-Based Classification of Mosquito Wing Beats Using Mel Spectrogram Images and Ensemble Modeling. Traitement du Signal, 41(4), 2093-2101. https://doi.org/10.18280/ts.410437
Amarnath, A., Al Bataineh, A., & Hansen, J. A. (2024). Transfer-Learning Approach for Enhanced Brain Tumor Classification in MRI Imaging. BioMedInformatics, 4(3), 1745-1756. https://doi.org/10.3390/biomedinformatics4030095
Al Bataineh, A., Jalali, S. M. J., Mousavirad, S. J., Yazdani, A., Islam, S. M. S., & Khosravi, A. (2024). An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis. Expert Systems, 41(4), e13532. https://doi.org/10.1111/exsy.13532
Bataineh, B., Vamsi, B., Al Bataineh, A., & Doppala, B. P. (2024). A Memory-Based Neural Network Model for English to Telugu Language Translation on Different Types of Sentences. International Journal of Advanced Computer Science and Applications, 15(7). https://doi.org/10.14569/IJACSA.2024.0150706
Vamsi, B., Al Bataineh, A., & Doppala, B. P. (2023). Lexical Based Reordering Models for English to Telugu Machine Translation. Revue d'Intelligence Artificielle, 37(5), 1109-1120. https://doi.org/10.18280/ria.370503
Doppala, B. P., Al Bataineh, A., & Vamsi, B. (2023). An Efficient, Lightweight, Tiny 2D-CNN Ensemble Model to Detect Cardiomegaly in Heart CT Images. Journal of Personalized Medicine, 13(9), 1338. https://doi.org/10.3390/jpm13091338
Al Bataineh, A., Reyes, V., Olukanni, T., Khalaf, M., Vibho, A., & Pedyuk, R. (2023). Advanced Misinformation Detection: A Bi-LSTM Model Optimized by Genetic Algorithms. Electronics, 12(15), 3250. https://doi.org/10.3390/electronics12153250
Al Bataineh, A., Kaur, D., Al-khassaweneh, M., & Al-sharoa, E. (2023). Automated CNN Architectural Design: A Simple and Efficient Methodology for Computer Vision Tasks. Mathematics, 11(5), 1141. https://doi.org/10.3390/math11051141
Al-sharoa, E., Al-wardat, M., Al-khassaweneh, M., & Al Bataineh, A. (2023). Discovering Community Structure in Multiplex Networks via a Co-Regularized Robust Tensor-Based Spectral Approach. Applied Sciences, 13(4), 2514. https://doi.org/10.3390/app13042514
Bronakowski, M., Al-khassaweneh, M., & Al Bataineh, A. (2023). Automatic Detection of Clickbait Headlines Using Semantic Analysis and Machine Learning Techniques. Applied Sciences, 13(4), 2456. https://doi.org/10.3390/app13042456
Alzghoul, S., Smadi, O., Al Bataineh, A., Hatmal, M., & Alamm, A. (2023). Machine Learning Prediction Models of Optimal Time for Aortic Valve Replacement in Asymptomatic Patients. Intelligent Automation & Soft Computing, 37(1), 455-470. https://doi.org/10.32604/iasc.2023.038338
Al Bataineh, A., & Manacek, S. (2022). MLP-PSO Hybrid Algorithm for Heart Disease Prediction. Journal of Personalized Medicine, 12(8), 1208. https://doi.org/10.3390/jpm12081208
Al Bataineh, A., & Jarrah, A. (2022). High Performance Implementation of Neural Networks Learning Using Swarm Optimization Algorithms for EEG Classification Based on Brain Wave Data. International Journal of Applied Metaheuristic Computing, 13(1), 1-17. https://doi.org/10.4018/IJAMC.292500
Al Bataineh, A., Kaur, D., & Jalali, S. M. J. (2022). Multi-Layer Perceptron Training Optimization Using Nature Inspired Computing. IEEE Access, 10, 36963-36977. https://doi.org/10.1109/ACCESS.2022.3164669
Vamsi, B., Al Bataineh, A., & Doppala, B. P. (2022). Prediction of Micro Vascular and Macro Vascular Complications in Type-2 Diabetic Patients using Machine Learning Techniques. International Journal of Advanced Computer Science and Applications, 13(11). https://doi.org/10.14569/IJACSA.2022.0131103
Jarrah, A., Al Bataineh, A., & Almomany, A. (2022). The optimisation of travelling salesman problem based on parallel ant colony algorithm. International Journal of Computer Applications in Technology, 69(4), 309-321. https://doi.org/10.1504/IJCAT.2022.129382
Al Bataineh, A., & Kaur, D. (2021). Immunocomputing-Based Approach for Optimizing the Topologies of LSTM Networks. IEEE Access, 9, 78993-79004. https://doi.org/10.1109/ACCESS.2021.3084131
Al Bataineh, A., Mairaj, A., & Kaur, D. (2020). Autoencoder based Semi-Supervised Anomaly Detection in Turbofan Engines. International Journal of Advanced Computer Science and Applications, 11(11). https://doi.org/10.14569/IJACSA.2020.0111105
Al Bataineh, A. (2019). A gradient boosting regression based approach for energy consumption prediction in buildings. Advances in Energy Research, 6(2), 91-101. https://doi.org/10.12989/eri.2019.6.2.091
Al Bataineh, A. (2019). A Comparative Analysis of Nonlinear Machine Learning Algorithms for Breast Cancer Detection. International Journal of Machine Learning and Computing, 9(3), 248-254. https://doi.org/10.18178/ijmlc.2019.9.3.794
Keneni, B. M., Kaur, D., Al Bataineh, A., Devabhaktuni, V. K., Javaid, A. Y., Zaientz, J. D., & Marinier, R. P. (2019). Evolving Rule-Based Explainable Artificial Intelligence for Unmanned Aerial Vehicles. IEEE Access, 7, 17001-17016. https://doi.org/10.1109/ACCESS.2019.2893141
Al Bataineh, A., Jarrah, A., & Kaur, D. (2019). High-Speed FPGA-based of the Particle Swarm Optimization using HLS Tool. International Journal of Advanced Computer Science and Applications, 10(5). https://doi.org/10.14569/IJACSA.2019.0100502
Al Bataineh, A., & Kaur, D. (2019). Immuno-Computing-based Neural Learning for Data Classification. International Journal of Advanced Computer Science and Applications, 10(6). https://doi.org/10.14569/IJACSA.2019.0100632
Feinauer, D. M., Cross, M., Kushwaha, K. P., & Al Bataineh, A. (2026). Using Machine Learning Techniques to Develop Attitudinal Surveys on Generative AI Tool Adoption in the Engineering Classroom. 2026 ASEE Annual Conference & Exposition Proceedings, Charlotte, North Carolina, USA (June 2026). https://doi.org/10.18260/1-2--61198
Li, M., & Al Bataineh, A. (2026). Characterization of Stress Localization in Epoxy Materials Using Augmented Lagrangian Digital Image Correlation. In A. K. Nagar, D. S. Jat, D. K. Mishra, & A. Joshi (Eds.), Intelligent Sustainable Systems: Selected Papers of WorldS4 2025, Volume 1 (Lecture Notes in Networks and Systems, Vol. 1727). Springer, Cham, pp. 191-198. https://doi.org/10.1007/978-3-032-11515-7_17
Khalaf, M., Olukanni, T. C., Feinauer, D. M., Cross, M., & Al Bataineh, A. (2025). Future-Ready Students: Validating the Use of Natural Language Processing to Analyze Student Reflections on a Remote Learning Group Project. 2025 ASEE Annual Conference & Exposition Proceedings, Montreal, Quebec, Canada (June 2025). https://doi.org/10.18260/1-2--56628
Feinauer, D. M., Cross, M., Al Bataineh, A., Olukanni, T. C., & Khalaf, M. (2024). Full Paper: Future-Ready Students: Providing Opportunities for Remote Collaboration on an Engineering Design Project. 15th Annual First-Year Engineering Experience Conference (FYEE) Proceedings, Boston, Massachusetts, USA (July 2024). https://doi.org/10.18260/1-2--48599
Olukanni, T. C., Khalaf, M., Cross, M., Feinauer, D. M., & Al Bataineh, A. (2024). Full Paper: Future-Ready Students: Survey Analysis Utilizing Natural Language Processing. 15th Annual First-Year Engineering Experience Conference (FYEE) Proceedings, Boston, Massachusetts, USA (July 2024). https://doi.org/10.18260/1-2--48593
Mairaj, A., Al Bataineh, A., Kaur, D., & Javaid, A. (2019). Identifying the optimal solutions of Bohachevsky test function using swarming algorithms. Proceedings of the International Conference on Artificial Intelligence (ICAI 2019), World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), Las Vegas, Nevada, USA (July 2019).
Al Bataineh, A., & Kaur, D. (2018). A Comparative Study of Different Curve Fitting Algorithms in Artificial Neural Network using Housing Dataset. NAECON 2018 - IEEE National Aerospace and Electronics Conference, Dayton, OH, USA (July 2018), pp. 174-178. https://doi.org/10.1109/NAECON.2018.8556738
Al Bataineh, A., Kaur, D., & Jarrah, A. (2018). Enhancing the Parallelization of Backpropagation Neural Network Algorithm for Implementation on FPGA Platform. NAECON 2018 - IEEE National Aerospace and Electronics Conference, Dayton, OH, USA (July 2018), pp. 192-196. https://doi.org/10.1109/NAECON.2018.8556656
Abu Jassar, N., Almalkawi, I., Al-Hammouri, M., & Al Bataineh, A. (2026). Curated Thoracic Subset from MultiCaRe for Multi-Label Chest X-Ray Disease Classification. Zenodo (dataset). https://doi.org/10.5281/zenodo.20548926
Vibho, A., & Al Bataineh, A. (2023). NeoSySPArtaN: A Neuro-Symbolic Spin Prediction Architecture for higher-order multipole waveforms from eccentric Binary Black Hole mergers using Numerical Relativity. arXiv preprint arXiv:2307.11003. https://doi.org/10.48550/arXiv.2307.11003
Vibho, A., & Al Bataineh, A. (2023). High-Latitude Dark Matter Substructures in the Milky Way a Semi-Supervised Search on Nasa's Twelve-Year Fermi-Lat Catalog. SSRN preprint. https://doi.org/10.2139/ssrn.4512536
Al Bataineh, A., Sickler, R., Morris, W. T., & Pedersen, K. (2023). The Impact of AI-Generated Reports for Law Enforcement: A Call for Responsible Integration and Interpretability. Information Professionals Association (online article, 23 June 2023). https://information-professionals.org/the-impact-of-ai-generated-reports-for-law-enforcement-a-call-for-responsible-integration-and-interpretability-2/