(Accepted)
Ho, B., Mayberry, T., Khanh Linh Nguyen, Manohar Dhulipala, & Vivek Krishnamani Pallipuram. (2024). ChatReview: A ChatGPT-enabled natural language processing framework to study domain-specific user reviews. Machine Learning with Applications, 15, 100522–100522. https://doi.org/10.1016/j.mlwa.2023.100522
Pallipuram, V., Mammadov, G., Ho, B., Dhulipala, M., & Dziallas, S. (2024). Camelot: A Council of Machine Learning Strategies to Enhance Teaching. Machine Learning in Educational Sciences, 47–70. https://doi.org/10.1007/978-981-99-9379-6_4
(In Press)
Choudhry, A. T., Ho, B., & Pallipuram, V. K. (2026). That Makes Sense: XAI Techniques to Interpret Machine Learning (ML) Model Predictions Using an Education Data Case Study. In Myint Swe Khine (Ed.), Explainable Artificial Intelligence and Interpretable Machine Learning: Bridging Data Science and Educational Inquiry (pp. 39–51). CRC Press.
Choudhry, A. T., Ho, B., & Pallipuram, V. K. (2026a). Beyond the Black Box: XAI Techniques to Interpret Complex Machine Learning Models. In Myint Swe Khine (Ed.), Explainable Artificial Intelligence and Interpretable Machine Learning in Education: A researcher’s guide to data science (pp. 198–220). CRC Press.
(In Preparation)
Ho, B., Habibkhani, H. K., Das, T., Mueller, D., & Pallipuram, V. (2026). Photovoltaic Systems as Virtual Sensors: A Systematic Survey of Machine Learning Architectures. ms, Stockton.