Praveen Ravirathinam

19 papers A* 3A 2Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2024 A conf
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach.
SDM
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
2024 J jnl
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach.
CoRR
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
2024 J jnl
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration.
IEEE Trans. Knowl. Data Eng.
Erhu He, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia
2024 J jnl
Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications.
CoRR
Praveen Ravirathinam, Ankush Khandelwal, Rahul Ghosh, Vipin Kumar
2023 J jnl
Harnessing heterogeneity in space with statistically guided meta-learning.
Knowl. Inf. Syst.
Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2023 A conf
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets.
SDM
Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar
2022 A* conf
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework.
AAAI
Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
2022 — conf
Sailing in the location-based fairness-bias sphere.
SIGSPATIAL/GIS
Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
2022 J jnl
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets.
CoRR
Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar
2022 A* conf
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract).
IJCAI
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2021 A* conf
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity.
ICDM
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2021 — conf
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping.
IEEE BigData
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
2021 J jnl
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping.
CoRR
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
2021 J jnl
C-LIENet: A Multi-Context Low-Light Image Enhancement Network.
IEEE Access
Praveen Ravirathinam, Divyam Goel, J. Jennifer Ranjani
2021 — conf
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels.
IEEE BigData
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
2021 J jnl
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels.
CoRR
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
2021 — conf
MRSCAtt: A Spatio-Channel Attention-Guided Network for Mars Rover Image Classification.
CVPR Workshops
Anirudh Srinivasan Chakravarthy, Roshan Roy, Praveen Ravirathinam
2021 J jnl
NeighCNN: A CNN based SAR Speckle Reduction using Feature preserving Loss Function.
CoRR
Praveen Ravirathinam, Darshan Agrawal, J. Jennifer Ranjani
2021 — conf
Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets.
SIGSPATIAL/GIS
Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam