Omar Faruque

According to our database, Omar Faruque authored at least 10 papers between 2022 and 2024.

Collaborative distances:

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

2024

Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data.

Francis Ndikum Nji, Omar Faruque, Mostafa Cham, Janeja Vandana, Jianwu Wang

CoRR, 2024

gWaveNet: Classification of Gravity Waves from Noisy Satellite Data using Custom Kernel Integrated Deep Learning Method.

Seraj Al Mahmud Mostafa, Omar Faruque, Chenxi Wang, Jia Yue, Sanjay Purushotham, Jianwu Wang

CoRR, 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

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

Omar Faruque, Sahara Ali, Xue Zheng, Jianwu Wang

CoRR, 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

Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data.

Omar Faruque, Francis Ndikum Nji, Mostafa Cham, Rohan Mandar Salvi, Xue Zheng, Jianwu Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography.

Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Homayra Alam, Omar Faruque, Sikan Li, Mathieu Morlighem, 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

Face Recognition-Based Mass Attendance Using YOLOv5 and ArcFace.

Omar Faruque, Fazlul Hasan Siddiqui, Sabah Binte Noor

Proceedings of the Machine Intelligence and Emerging Technologies, 2022