| A survey of deep learning and foundation models for time series forecasting JA Miller, M Aldosari, F Saeed, NH Barna, S Rana, IB Arpinar, N Liu arXiv preprint arXiv:2401.13912, 2024 | 42 | 2024 |
| A survey of deep learning and foundation models for time series forecasting. arXiv 2024 JA Miller, M Aldosari, F Saeed, NH Barna, S Rana, IB Arpinar, N Liu arXiv preprint arXiv:2401.13912, 0 | 7 | |
| Segmentation of heterogeneous documents into homogeneous components using morphological operations NH Barna, TI Erana, S Ahmed, H Heickal 2018 IEEE/ACIS 17th International Conference on Computer and Information …, 2018 | 5 | 2018 |
| Exploring the predictive power of correlation and mutual information in attention temporal graph convolutional network for COVID-19 forecasting S Rana, NH Barna, JA Miller International Conference on Big Data, 18-33, 2023 | 4 | 2023 |
| An automatic abstractive text summarization system NH Barna, H Heickal Dhaka University Journal of Applied Science and Engineering 6 (2), 39-48, 2021 | 2 | 2021 |
| Knowledge Enhanced Deep Learning: Application to Pandemic Prediction JA Miller, NH Barna, S Rana, IB Arpinar, N Liu 2023 IEEE 9th International Conference on Collaboration and Internet …, 2023 | 1 | 2023 |
| How Effective are Time Series Models for Pandemic Forecasting? S Rana, JA Miller, J Nesbit, NH Barna, M Aldosari, IB Arpinar International Conference on Big Data, 3-17, 2024 | | 2024 |
| for Pandemic Forecasting? S Rana, JA Miller, J Nesbitt, NH Barna, M Aldosari, IB Arpinar Big Data-BigData 2024: 13th International Conference, Held As Part of the …, 2024 | | 2024 |
John A. MillerProfessor of Computer Science, University of GeorgiaVerified email at cs.uga.edu