| Sea ice forecasting using attention-based ensemble LSTM S Ali, Y Huang, X Huang, J Wang arXiv preprint arXiv:2108.00853, 2021 | 18 | 2021 |
| Multi-task deep learning based spatiotemporal arctic sea ice forecasting E Kim, P Kruse, S Lama, J Bourne, M Hu, S Ali, Y Huang, J Wang 2021 IEEE International Conference on Big Data (Big Data), 1847-1857, 2021 | 9 | 2021 |
| Deep domain adaptation based cloud type detection using active and passive satellite data X Huang, S Ali, C Wang, Z Ning, S Purushotham, J Wang, Z Zhang 2020 IEEE International Conference on Big Data (Big Data), 1330-1337, 2020 | 9 | 2020 |
| Deep multi-sensor domain adaptation on active and passive satellite remote sensing data X Huang, S Ali, S Purushotham, J Wang, C Wang, Z Zhang 1st KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and …, 2020 | 9 | 2020 |
| Quantifying causes of arctic amplification via deep learning based time-series causal inference S Ali, O Faruque, Y Huang, MO Gani, A Subramanian, NJ Schlegel, ... 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | 7 | 2023 |
| Mt-icenet-a spatial and multi-temporal deep learning model for arctic sea ice forecasting S Ali, J Wang 2022 IEEE/ACM International Conference on Big Data Computing, Applications …, 2022 | 7 | 2022 |
| Benchmarking probabilistic machine learning models for arctic sea ice forecasting S Ali, SAM Mostafa, X Li, S Khanjani, J Wang, J Foulds, V Janeja IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 4 | 2022 |
| AI for sea ice forecasting S Ali, Y Huang, J Wang Artificial intelligence in earth science, 41-58, 2023 | 3 | 2023 |
| Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference S Ali, O Faruque, J Wang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | | 2024 |
| Estimating Causal Effects of Greenland Blocking on Arctic Sea Ice Melt using Deep Learning Technique S Ali, O Faruque, Y Huang, MO Gani, A Subramanian, N Schlegel, ... | | 2024 |
| Incorporating Causality with Deep Learning in Predicting Short-Term and Seasonal Sea Ice E Hossain, S Ali, Y Huang, N Schlegel, J Wang, A Subramanian, MO Gani | | 2024 |
| Predicting September Arctic Sea Ice: A Multi-Model Seasonal Skill Comparison M Bushuk, S Ali, DA Bailey, Q Bao, L Batté, US Bhatt, ... Bulletin of the American Meteorological Society, 2024 | | 2024 |
| Causality for Earth Science--A Review on Time-series and Spatiotemporal Causality Methods S Ali, U Hasan, X Li, O Faruque, A Sampath, Y Huang, MO Gani, J Wang arXiv preprint arXiv:2404.05746, 2024 | | 2024 |
| TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data O Faruque, S Ali, X Zheng, J Wang arXiv preprint arXiv:2404.01466, 2024 | | 2024 |
| Spatiotemporal Forecasting and Causality Methods for the Arctic Amplification S Ali University of Maryland, Baltimore County, 2024 | | 2024 |
| Identifying Energy Balance Drivers and Feedbacks of Greenland Ice Sheet Surface Melt Using Causal Inference Z Yin, A Subramanian, R Datta, D Du, S Ali, O Faruque, AR Herrington, ... AGU23, 2023 | | 2023 |
| Integrating Fourier Transform and Residual Learning for Arctic Sea Ice Forecasting L Lapp, S Ali, J Wang 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
| A multi-model comparison of September Arctic sea ice seasonal prediction skill M Bushuk, S Ali, DA Bailey, L Batté, US Bhatt, B He, ... AGU Fall Meeting Abstracts 2022, GC52B-02, 2022 | | 2022 |
| Evaluation of low-cloud and warm rain simulation in CMIP6 models through comparisons with satellite observations. A Denagamage, Z Zhang, M Segal-Rosenhaimer, J Wang, S Ali, ... AGU Fall Meeting Abstracts 2020, A052-05, 2020 | | 2020 |
| BDCAT 2022 S Ali, J Wang | | |
Jianwu WangProfessor of Data Science, University of Maryland Baltimore County在 umbc.edu 的电子邮件经过验证
