Praveen Ravirathinam

According to our database, Praveen Ravirathinam authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration.

Erhu He, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia

IEEE Trans. Knowl. Data Eng., September, 2024

Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications.

Praveen Ravirathinam, Ankush Khandelwal, Rahul Ghosh, Vipin Kumar

CoRR, 2024

Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach.

Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

2023

Harnessing heterogeneity in space with statistically guided meta-learning.

Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam

Knowl. Inf. Syst., June, 2023

Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets.

Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract).

Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Sailing in the location-based fairness-bias sphere.

Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework.

Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

NeighCNN: A CNN based SAR Speckle Reduction using Feature preserving Loss Function.

Praveen Ravirathinam, Darshan Agrawal, J. Jennifer Ranjani

CoRR, 2021

C-LIENet: A Multi-Context Low-Light Image Enhancement Network.

Praveen Ravirathinam, Divyam Goel, J. Jennifer Ranjani

IEEE Access, 2021

A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity.

Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam

Proceedings of the IEEE International Conference on Data Mining, 2021

Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets.

Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

MRSCAtt: A Spatio-Channel Attention-Guided Network for Mars Rover Image Classification.

Anirudh Srinivasan Chakravarthy, Roshan Roy, Praveen Ravirathinam

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping.

Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels.

Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021