1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2026
TTCD:Transformer Integrated Temporal Causal Discovery from Non-Stationary Time Series Data
Omar Faruque, Sahara Ali, Xue Zheng +1
The widespread availability of complex time series data in various domains such as environmental science, epidemiology, and economics demands robust causal discovery methods that c…
cs.LG2024★ 1 cited
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data
Omar Faruque, Sahara Ali, Xue Zheng +1
The growing availability and importance of time series data across various domains, including environmental science, epidemiology, and economics, has led to an increasing need for…
cs.LG2023
Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data
Omar Faruque, Francis Ndikum Nji, Mostafa Cham +3
Clustering high-dimensional spatiotemporal data using an unsupervised approach is a challenging problem for many data-driven applications. Existing state-of-the-art methods for uns…