Publications

Journal Publications

Xiang Gao and Shray Mathur. “Predictability of U.S. Regional Extreme Precipitation Occurrence Based on Large-Scale Meteorological Patterns (LSMPs).” Journal of Climate, 2021 [Paper]
Shray Mathur and Xiang Gao. “Examining atmospheric circulation patterns and associated precipitation extremes over the south-central U.S. using self-organizing Maps: A comparative assessment from different reanalyses.” Journal of Climate, 2021 (in progress)
Jacob Høxbroe Jeppesen, Shray Mathur, Rune Hylsberg Jacobsen. “Interpretable machine learning for satellite based remote sensing.” Remote Sensing of Environment, 2021 (in progress)
Lavika Goel, Shray Mathur, Akshina Jindal, Atith Gandhi. “Integrated Models of Machine Learning for Design of a Crop Recommendation System for Rajasthan, India.” Journal of the Indian Society of Remote Sensing , 2021 (submitted, under review)
Mukesh Rohil and Shray Mathur. “Machine Learning Based CYGNSS-Derived Soil Moisture: Status, Challenges and Future” Ecological Informatics (submitted, under review)

Raj Shah, Ashutosh Bhatia, Atith Gandhi and Shray Mathur. “Bitcoin Data Analytics: Scalable techniques for transaction clustering and embedding generation.” IEEE COMNSETS, 2021 [Paper]
Donglai Wei, Siddhant Kharbanda, Sarthak Arora, Roshan Roy, Nishant Jain, Akash Palrecha, Tanav Shah, Shray Mathur, Abhijay Kemkar, Anirudh Chakravarthy, Zudi Lin, Won-Dong Jang, Yansong Tang, Song Bai, Deqing Sun, James Tompkin, Philip Torr and Hanspeter Pfister. “YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset.” Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Accepted)

Lavika Goel, Akshina Jindal, Shray Mathur, Atith Gandhi. “Design and Implementation of a Crop Recommendation System Using Nature Inspired Intelligence for Rajasthan, India.” Deep Learning for Sustainable Agriculture , 2021 [Paper]