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Omar Faruque
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2020 – today
- 2024
- [i5]Omar Faruque, Sahara Ali, Xue Zheng, Jianwu Wang:
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data. CoRR abs/2404.01466 (2024) - [i4]Sahara Ali, Uzma Hasan, Xingyan Li, Omar Faruque, Akila Sampath, Yiyi Huang, Md. Osman Gani, Jianwu Wang:
Causality for Earth Science - A Review on Time-series and Spatiotemporal Causality Methods. CoRR abs/2404.05746 (2024) - [i3]Sahara Ali, Omar Faruque, Jianwu Wang:
Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference. CoRR abs/2405.08174 (2024) - 2023
- [c4]Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Homayra Alam, Omar Faruque, Sikan Li, Mathieu Morlighem, Jianwu Wang:
Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography. ICMLA 2023: 659-666 - [c3]Sahara Ali, Omar Faruque, Yiyi Huang, Md. Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, Jianwu Wang:
Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference. ICMLA 2023: 689-696 - [c2]Omar Faruque
, Francis Ndikum Nji, Mostafa Cham, Rohan Mandar Salvi, Xue Zheng, Jianwu Wang
:
Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data. ECML/PKDD (7) 2023: 90-105 - [i2]Sahara Ali, Omar Faruque, Jianwu Wang:
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference. CoRR abs/2303.07122 (2023) - [i1]Omar Faruque, Francis Ndikum Nji, Mostafa Cham, Rohan Mandar Salvi, Xue Zheng, Jianwu Wang:
Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data. CoRR abs/2304.14541 (2023) - 2022
- [c1]Omar Faruque, Fazlul Hasan Siddiqui, Sabah Binte Noor
:
Face Recognition-Based Mass Attendance Using YOLOv5 and ArcFace. MIET (1) 2022: 496-510
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last updated on 2024-06-16 23:50 CEST by the dblp team
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