| Interpretable personalized knowledge tracing and next learning activity recommendation J Zhao, S Bhatt, C Thille, D Zimmaro, N Gattani Proceedings of the Seventh ACM Conference on Learning@ Scale, 325-328, 2020 | 22 | 2020 |
| Cold start knowledge tracing with attentive neural turing machine J Zhao, S Bhatt, C Thille, N Gattani, D Zimmaro Proceedings of the Seventh ACM Conference on Learning@ Scale, 333-336, 2020 | 14 | 2020 |
| Introducing Alexa for E-learning J Zhao, S Bhatt, C Thille, D Zimmaro, N Gattani, J Walker Proceedings of the Seventh ACM Conference on Learning@ Scale, 427-428, 2020 | 14 | 2020 |
| Evaluating Bayesian knowledge tracing for estimating learner proficiency and guiding learner behavior S Bhatt, J Zhao, C Thille, D Zimmaro, N Gattani Proceedings of the Seventh ACM Conference on Learning@ Scale, 357-360, 2020 | 8 | 2020 |
| Targeted feedback generation for constructed-response questions J Zhao, K Larson, W Xu, N Gattani, C Thille | 7 | 2021 |
| A novel approach for knowledge state representation and prediction S Bhatt, J Zhao, C Thille, D Zimmaro, N Gattani Proceedings of the Seventh ACM Conference on Learning@ Scale, 353-356, 2020 | 6 | 2020 |
| Identification of the relationship between equilibrium moisture content, dry bulb temperature, and relative humidity using regression analysis CD Ray, N Gattani, E del Castillo, PR Blankenhorn Wood and Fiber Science, 299-306, 2007 | 6 | 2007 |
| Time series analysis and control of a dry kiln N Gattani, E Del Castillo, CD Ray, PR Blankenhorn Wood and fiber science, 472-483, 2005 | 4 | 2005 |
| A novel framework for discovering cognitive models of learning J Zhao, C Thille, N Gattani, D Zimmaro Proceedings of the Eighth ACM Conference on Learning@ Scale, 271-274, 2021 | 2 | 2021 |
| Time series techniques for dynamic, real-time control of wood-drying processes CD Ray, N Gattani, E Del Castillo, P Blankenhorn Forest products journal 55 (10), 64, 2005 | 2 | 2005 |
