Omar Faruque

According to our database, Omar Faruque authored at least 5 papers between 2022 and 2023.

Collaborative distances:

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

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