Sahara Ali

According to our database, Sahara Ali authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Benchmarking Scientific Machine Learning Models for Air Quality Data.

Khawja Imran Masud, Venkata Sai Rahul Unnam, Sahara Ali

CoRR, March, 2026

2025

LLM-Enhanced Knowledge Discovery for Polar Data Science.

Ajith Kumar Dugyala, Harini Varanasi, Sahara Ali

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Polar Data Science, 2025

TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data.

Omar Faruque, Sahara Ali, Xue Zheng, Jianwu Wang

Proceedings of the IEEE International Conference on Data Mining, 2025

2024

Causality for Earth Science - A Review on Time-series and Spatiotemporal Causality Methods.

Sahara Ali, Uzma Hasan, Xingyan Li, Omar Faruque, Akila Sampath, Yiyi Huang, Md. Osman Gani, Jianwu Wang

CoRR, 2024

Tutorial on Causal Inference with Spatiotemporal Data.

Sahara Ali, Jianwu Wang

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatiotemporal Causal Analysis, 2024

Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference.

Sahara Ali, Omar Faruque, Jianwu Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference.

Sahara Ali, Omar Faruque, Jianwu Wang

CoRR, 2023

Integrating Fourier Transform and Residual Learning for Arctic Sea Ice Forecasting.

Louis Lapp, Sahara Ali, Jianwu Wang

Proceedings of the International Conference on Machine Learning and Applications, 2023

Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference.

Sahara Ali, Omar Faruque, Yiyi Huang, Md. Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, Jianwu Wang

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting.

Sahara Ali, Seraj Al Mahmud Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James R. Foulds, Vandana P. Janeja

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

MT-IceNet - A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting.

Sahara Ali, Jianwu Wang

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

2021

Sea Ice Forecasting using Attention-based Ensemble LSTM.

Sahara Ali, Yiyi Huang, Xin Huang, Jianwu Wang

CoRR, 2021

Multi-Task Deep Learning Based Spatiotemporal Arctic Sea Ice Forecasting.

Eliot Kim, Peter Kruse, Skylar Lama, Jamal Bourne, Michael Hu, Sahara Ali, Yiyi Huang, Jianwu Wang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Deep Domain Adaptation based Cloud Type Detection using Active and Passive Satellite Data.

Xin Huang, Sahara Ali, Chenxi Wang, Zeyu Ning, Sanjay Purushotham, Jianwu Wang, Zhibo Zhang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020