Rahul Ghosh

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MODULE 1: Feature Subset Selection Algorithm using Quantum computation and Evolutionary Algorithms MODULE II: Classification of Customer Reviews using Deep Learning

Rahul Ghosh, 2015 .

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

X. Jia, Xun Zhou, Rahul Ghosh, 2022, IJCAI.

Probabilistic Inverse Modeling: An Application in Hydrology

C. Duffy, Snigdhansu Chatterjee, J. Nieber, 2022, SDM.

Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology

X. Jia, C. Duffy, A. Khandelwal, 2021, KDD.

Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets

H. Dugan, Paul C. Hanson, A. Khandelwal, 2022, SDM.

Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin

X. Jia, Chenxi Lin, Zhenong Jin, 2023, Remote Sensing of Environment.

A novel deep learning architecture for sentiment classification

Kumar Ravi, Vadlamani Ravi, Rahul Ghosh, 2016, 2016 3rd International Conference on Recent Advances in Information Technology (RAIT).

Model-agnostic Methods for Text Classification with Inherent Noise

Vipin Kumar, Rahul Ghosh, Kshitij Tayal, 2020, COLING.

Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping

Xiaowei Jia, Chenxi Lin, Rahul Ghosh, 2021, 2021 IEEE International Conference on Big Data (Big Data).

ReaLSAT, a global dataset of reservoir and lake surface area variations

A. Karpatne, H. Dugan, Paul C. Hanson, 2022, Scientific Data.

Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco

Chenxi Lin, Yaping Cai, Rahul Ghosh, 2021, Remote. Sens..

Harnessing heterogeneity in space with statistically guided meta-learning

X. Jia, Rahul Ghosh, Yiqun Xie, 2023, Knowledge and Information Systems.

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

X. Jia, Xun Zhou, Rahul Ghosh, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Sailing in the location-based fairness-bias sphere

X. Jia, Xun Zhou, Rahul Ghosh, 2022, SIGSPATIAL/GIS.

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

X. Jia, Rahul Ghosh, S. Skakun, 2022, AAAI.

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

Jia Yu, Rahul Ghosh, Yiqun Xie, 2021, SIGSPATIAL/GIS.

Entity Aware Modelling: A Survey

X. Jia, A. Khandelwal, Haoyu Yang, 2023, ArXiv.

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

Ankush Khandelwal, Rahul Ghosh, Praveen Ravirathinam, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Retrospective study of deep learning to reduce noise in non-contrast head CT images

Rahul Ghosh, Kelvin K. Wong, Yunjie He, 2021, Comput. Medical Imaging Graph..

Land Cover Mapping in Limited Labels Scenario: A Survey pdf

Xiaowei Jia, Rahul Ghosh, Vipin Kumar, 2021, ArXiv.

Automatic Segmentation in Acute Ischemic Stroke: Prognostic Significance of Topological Stroke Volumes on Stroke Outcome

Jonathon S. Cummock, Stephen T. C. Wong, Rahul Ghosh, 2022, Stroke.

Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics pdf

Ankush Khandelwal, Rahul Ghosh, Xiaowei Jia, 2021, ArXiv.

ReaLSAT: A new Reservoir and Lake Surface Area Timeseries Dataset created using machine learning and satellite imagery

A. Karpatne, H. Dugan, Paul C. Hanson, 2020 .

Meta-Transfer Learning: An application to Streamflow modeling in River-streams

X. Jia, Rahul Ghosh, Kshitij Tayal, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Class-Based Order-Independent Models of Natural Language for Bayesian Auto-Complete Inference

Rahul Ghosh, Piyush Arora, Morten Hagen, 2021, AIMLSystems.

Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data pdf

Xiaowei Jia, Vipin Kumar, Rahul Ghosh, 2020, SDM.

Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications

X. Jia, J. Willard, M. Steinbach, 2022, SDM.

Clustering augmented self-supervised learning: an application to land cover mapping pdf

Chenxi Lin, Rahul Ghosh, Xiaowei Jia, 2021, SIGSPATIAL/GIS.

Regionalization in a Global Hydrologic Deep Learning Model: From Physical Descriptors to Random Vectors

X. Jia, M. Steinbach, C. Duffy, 2022, Water Resources Research.

Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling

X. Jia, Rahul Ghosh, Kshitij Tayal, 2023, 2309.10291.

Uncertainty Quantification in Inverse Models in Hydrology

Snigdhansu Chatterjee, Rahul Ghosh, Arvind Renganathan, 2023, 2310.02193.

Weakly Supervised Classification Using Group-Level Labels pdf

Rahul Ghosh, Guruprasad Nayak, Xiaowei Jia, 2021, ArXiv.

Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems

A. Khandelwal, Rahul Ghosh, Arvind Renganathan, 2023, ArXiv.

Automated catheter segmentation and tip detection in cerebral angiography with topology-aware geometric deep learning

Stephen T. C. Wong, Rahul Ghosh, G. Britz, 2023, Journal of NeuroInterventional Surgery.

Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems

M. Steinbach, Rahul Ghosh, Arvind Renganathan, 2024, 2407.20152.

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

X. Jia, A. Khandelwal, Rahul Ghosh, 2024, SDM.