Rahul Ghosh

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 65

Top Topics

Feature Subset Selection

Temporal Dependencies

Top Venues

Publications

Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. SDM (2024)
Erhu He, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Rahul Ghosh, Zac McEachran, Arvind Renganathan, Kelly Lindsay, Somya Sharma Chatterjee, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. CoRR (2024)
Praveen Ravirathinam, Ankush Khandelwal, Rahul Ghosh, Vipin Kumar
Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications. CoRR (2024)
Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar
Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. SDM (2024)
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. CoRR (2024)
Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed, George Baker, Rahul Ghosh, James H. Martin, Nathaniel Blanchard, Nikhil Krishnaswamy
Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles. CoRR (2024)
Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed, George Arthur Baker, Rahul Ghosh, James H. Martin, Nathaniel Blanchard, Nikhil Krishnaswamy
Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles. LREC/COLING (2024)
Anuvab Sen, Subhabrata Roy, Ariv Debnath, Gourav Jha, Rahul Ghosh
DE-ViT: State-Of-The-Art Vision Transformer Model for Early Detection of Alzheimer's Disease. NCC (2024)
Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
Probabilistic Inverse Modeling: An Application in Hydrology. SDM (2023)
Bijan Bagchi, Rahul Ghosh, Sauvik Sen
Analogue Hawking Radiation as a Tunneling in a Two-Level PT-Symmetric System. Entropy 25 (8) (2023)
Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. SDM (2023)
Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. CoRR (2023)
Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar
Entity Aware Modelling: A Survey. CoRR (2023)
Somya Sharma Chatterjee, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
Uncertainty Quantification in Inverse Models in Hydrology. CoRR (2023)
Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
Correction: Lin et al. Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote Sens. 2021, 13, 1740. Remote. Sens. 15 (1) (2023)
Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
Harnessing heterogeneity in space with statistically guided meta-learning. Knowl. Inf. Syst. 65 (6) (2023)
Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. ICDM (2023)
Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems. CoRR (2023)
Sayan Putatunda, Anwesha Bhowmik, Girish Thiruvenkadam, Rahul Ghosh
A BERT based Ensemble Approach for Sentiment Classification of Customer Reviews and its Application to Nudge Marketing in e-Commerce. CoRR (2023)
Leikun Yin, Rahul Ghosh, Chenxi Lin, David Hale, Christoph Weigl, James Obarowski, Junxiong Zhou, Jessica Till, Xiaowei Jia, Troy Mao, Vipin Kumar, Zhenong Jin
Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin. CoRR (2023)
Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. SDM (2023)
Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. KDD (2022)
Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. AAAI (2022)
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). IJCAI (2022)
Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
Sailing in the location-based fairness-bias sphere. SIGSPATIAL/GIS (2022)
Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
Probabilistic Inverse Modeling: An Application in Hydrology. CoRR (2022)
Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar
Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. SDM (2022)
Rahul Ghosh, Xiaowei Jia, Leikun Yin, Chenxi Lin, Zhenong Jin, Vipin Kumar
Clustering augmented self-supervised learning: an application to land cover mapping. SIGSPATIAL/GIS (2022)
Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia
Meta-Transfer Learning: An application to Streamflow modeling in River-streams. ICDM (2022)
Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. CoRR (2022)
Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. CoRR (2022)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. IEEE BigData (2021)
Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Neiber, Chris Duffy, Vipin Kumar
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. CoRR (2021)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. IEEE BigData (2021)
Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Land Cover Mapping in Limited Labels Scenario: A Survey. CoRR (2021)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. CoRR (2021)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. CoRR (2021)
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Weakly Supervised Classification Using Group-Level Labels. CoRR (2021)
Kelvin K. Wong, Jonathon S. Cummock, Yunjie He, Rahul Ghosh, John Volpi, Stephen T. C. Wong
Retrospective study of deep learning to reduce noise in non-contrast head CT images. Comput. Medical Imaging Graph. 94 (2021)
Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote. Sens. 13 (9) (2021)
Morten Hagen, Piyush Arora, Rahul Ghosh, Dawn Thomas, Salil Rajeev Joshi
Class-Based Order-Independent Models of Natural Language for Bayesian Auto-Complete Inference. AIMLSystems (2021)
Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam
Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. SIGSPATIAL/GIS (2021)
Stefano Sebastio, Rahul Ghosh, Tridib Mukherjee
An Availability Analysis Approach for Deployment Configurations of Containers. IEEE Trans. Serv. Comput. 14 (1) (2021)
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. ICDM (2021)
Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping. CoRR (2021)
Soumi Chattopadhyay, Rahul Ghosh, Ansuman Banerjee, Avantika Gupta, Arpit Jain
FINESSE: Fair Incentives for Enterprise Employees. RCIS (2020)
Kshitij Tayal, Rahul Ghosh, Vipin Kumar
Model-agnostic Methods for Text Classification with Inherent Noise. COLING (Industry) (2020)
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. SDM (2020)
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. CoRR (2020)
Varun Natu, Rahul Ghosh
EasyDist: An End-to-End Distributed Deep Learning Tool for Cloud. COMAD/CODS (2019)
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
Spatio-temporal classification at multiple resolutions using multi-view regularization. IEEE BigData (2019)
Stefano Sebastio, Rahul Ghosh, Avantika Gupta, Tridib Mukherjee
ContAv: A Tool to Assess Availability of Container-Based Systems. SOCA (2018)
Francesco Longo, Rahul Ghosh, Vijay K. Naik, Andrew J. Rindos, Kishor S. Trivedi
An Approach for Resiliency Quantification of Large Scale Systems. SIGMETRICS Perform. Evaluation Rev. 44 (4) (2017)
Senthil Nathan, Rahul Ghosh, Tridib Mukherjee, Krishnaprasad Narayanan
CoMICon: A Co-Operative Management System for Docker Container Images. IC2E (2017)
Roland E. Haas, Dietmar P. F. Möller, Prateek Bansal, Rahul Ghosh, Srikrishna S. Bhat
Intrusion detection in connected cars. EIT (2017)
Rahul Ghosh, Avantika Gupta, Soumi Chattopadhyay, Ansuman Banerjee, Koustuv Dasgupta
CoCOA: A Framework for Comparing Aggregate Client Operations in BPO Services. SCC (2016)
Rahul Ghosh, Kumar Ravi, Vadlamani Ravi
A novel deep learning architecture for sentiment classification. RAIT (2016)
Aditya Hegde, Rahul Ghosh, Tridib Mukherjee, Varun Sharma
SCoPe: A Decision System for Large Scale Container Provisioning Management. CLOUD (2016)
Rahul Ghosh, Aditya Ghose, Aditya Hegde, Tridib Mukherjee, Adrian Mos
QoS-Driven Management of Business Process Variants in Cloud Based Execution Environments. ICSOC (2016)
Rahul Ghosh, Francesco Longo, Vijay K. Naik, Andrew J. Rindos, Kishor S. Trivedi
Resiliency Quantification for Large Scale Systems: An IaaS Cloud Use Case. VALUETOOLS (2016)
Dario Bruneo, Francesco Longo, Marco Scarpa, Antonio Puliafito, Rahul Ghosh, Kishor S. Trivedi
An SRN-Based Resiliency Quantification Approach. Petri Nets (2015)
Shruti Kunde, Rahul Ghosh, Tridib Mukherjee, Aditya Hegde, Varun Sharma
A Scalable Approach for Context Based Complex Service Discovery. ICWS (2015)
Dario Bruneo, Francesco Longo, Rahul Ghosh, Marco Scarpa, Antonio Puliafito, Kishor S. Trivedi
Analytical Modeling of Reactive Autonomic Management Techniques in IaaS Clouds. CLOUD (2015)
Vadlamani Srikrishna, Rahul Ghosh, Vadlamani Ravi, Kalyanmoy Deb
Elitist Quantum-Inspired Differential Evolution Based Wrapper for Feature Subset Selection. MIWAI (2015)
Rahul Ghosh, Francesco Longo, Flavio Frattini, Stefano Russo, Kishor S. Trivedi
Scalable Analytics for IaaS Cloud Availability. IEEE Trans. Cloud Comput. 2 (1) (2014)
Rahul Ghosh, Francesco Longo, Ruofan Xia, Vijay K. Naik, Kishor S. Trivedi
Stochastic Model Driven Capacity Planning for an Infrastructure-as-a-Service Cloud. IEEE Trans. Serv. Comput. 7 (4) (2014)
Flavio Frattini, Rahul Ghosh, Marcello Cinque, Andy J. Rindos, Kishor S. Trivedi
Analysis of bugs in Apache Virtual Computing Lab. DSN (2013)
Rahul Ghosh, Dong Seong Kim, Kishor S. Trivedi
System resiliency quantification using non-state-space and state-space analytic models. Reliab. Eng. Syst. Saf. 116 (2013)
Rahul Ghosh, Francesco Longo, Vijay K. Naik, Kishor S. Trivedi
Modeling and performance analysis of large scale IaaS Clouds. Future Gener. Comput. Syst. 29 (5) (2013)
Rahul Ghosh, Vijay K. Naik
Biting Off Safely More Than You Can Chew: Predictive Analytics for Resource Over-Commit in IaaS Cloud. IEEE CLOUD (2012)
Francesco Longo, Rahul Ghosh, Vijay K. Naik, Kishor S. Trivedi
A scalable availability model for Infrastructure-as-a-Service cloud. DSN (2011)
Rahul Ghosh, Vijay K. Naik, Kishor S. Trivedi
Power-performance trade-offs in IaaS cloud: A scalable analytic approach. DSN Workshops (2011)
Rahul Ghosh, Kishor S. Trivedi, Vijay K. Naik, Dong Seong Kim
End-to-End Performability Analysis for Infrastructure-as-a-Service Cloud: An Interacting Stochastic Models Approach. PRDC (2010)
Rahul Ghosh, Francesco Longo, Vijay K. Naik, Kishor S. Trivedi
Quantifying Resiliency of IaaS Cloud. SRDS (2010)
Dong Seong Kim, Rahul Ghosh, Kishor S. Trivedi
A Hierarchical Model for Reliability Analysis of Sensor Networks. PRDC (2010)
Kishor S. Trivedi, Dong Seong Kim, Rahul Ghosh
Resilience in computer systems and networks. ICCAD (2009)
P. Venkateswaran, Pritam Som, Rahul Ghosh, Aritra Das, Subananda Hansda, Rabindranath Nandi
SmartGate: A MAC Protocol for Gateway Discovery in Clustered Ad-Hoc Networks. J. Networks 4 (3) (2009)
Souvik Sen, Rahul Ghosh, Jie Xiong, Romit Roy Choudhury
Poster abstract: BeamCast: harnessing beamforming capabilities for link layer multicast. ACM SIGMOBILE Mob. Comput. Commun. Rev. 13 (3) (2009)
Souvik Sen, Jie Xiong, Rahul Ghosh, Romit Roy Choudhury
Link layer multicasting with smart antennas: No client left behind. ICNP (2008)
P. Venkateswaran, Rahul Ghosh, Aritra Das, Salil Kumar Sanyal, Rabindranath Nandi
An Obstacle Based Realistic Ad-Hoc Mobility Model for Social Networks. J. Networks 1 (2) (2006)
Rahul Ghosh, Aritra Das, P. Venkateswaran, Salil Kumar Sanyal, Rabindranath Nandi
An Efficient Social Network-Mobility Model for MANETs. IWDC (2005)