Rahul Ghosh
Orcid: 0000-0002-0291-504XAffiliations:
- Duke University
According to our database1,
Rahul Ghosh
authored at least 69 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach.
CoRR, 2024
DE-ViT: State-Of-The-Art Vision Transformer Model for Early Detection of Alzheimer's Disease.
Proceedings of the National Conference on Communications, 2024
2023
Entropy, August, 2023
Knowl. Inf. Syst., June, 2023
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., January, 2023
A BERT based Ensemble Approach for Sentiment Classification of Customer Reviews and its Application to Nudge Marketing in e-Commerce.
CoRR, 2023
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems.
CoRR, 2023
Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin.
CoRR, 2023
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling.
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Serv. Comput., 2021
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
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics.
CoRR, 2021
CoRR, 2021
Comput. Medical Imaging Graph., 2021
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity.
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.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021
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.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Class-Based Order-Independent Models of Natural Language for Bayesian Auto-Complete Inference.
Proceedings of the AIMLSystems 2021: The First International Conference on AI-ML-Systems, Bangalore India, October 21, 2021
2020
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the Research Challenges in Information Science, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019
Spatio-temporal classification at multiple resolutions using multi-view regularization.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Proceedings of the 11th IEEE Conference on Service-Oriented Computing and Applications, 2018
2017
SIGMETRICS Perform. Evaluation Rev., 2017
Proceedings of the 2017 IEEE International Conference on Cloud Engineering, 2017
Proceedings of the IEEE International Conference on Electro Information Technology, 2017
2016
Proceedings of the 10th EAI International Conference on Performance Evaluation Methodologies and Tools, 2016
Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016
QoS-Driven Management of Business Process Variants in Cloud Based Execution Environments.
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016
Proceedings of the IEEE International Conference on Services Computing, 2016
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016
2015
Elitist Quantum-Inspired Differential Evolution Based Wrapper for Feature Subset Selection.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2015
Proceedings of the 2015 IEEE International Conference on Web Services, 2015
Proceedings of the Application and Theory of Petri Nets and Concurrency, 2015
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015
2014
IEEE Trans. Serv. Comput., 2014
Proceedings of the Large Scale and Big Data - Processing and Management., 2014
2013
System resiliency quantification using non-state-space and state-space analytic models.
Reliab. Eng. Syst. Saf., 2013
Future Gener. Comput. Syst., 2013
Proceedings of the 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2013
2012
Biting Off Safely More Than You Can Chew: Predictive Analytics for Resource Over-Commit in IaaS Cloud.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012
2011
Proceedings of the 2011 IEEE/IFIP International Conference on Dependable Systems and Networks, 2011
Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W 2011), 2011
2010
Proceedings of the 29th IEEE Symposium on Reliable Distributed Systems (SRDS 2010), New Delhi, Punjab, India, October 31, 2010
Proceedings of the 16th IEEE Pacific Rim International Symposium on Dependable Computing, 2010
End-to-End Performability Analysis for Infrastructure-as-a-Service Cloud: An Interacting Stochastic Models Approach.
Proceedings of the 16th IEEE Pacific Rim International Symposium on Dependable Computing, 2010
2009
Poster abstract: BeamCast: harnessing beamforming capabilities for link layer multicast.
ACM SIGMOBILE Mob. Comput. Commun. Rev., 2009
J. Networks, 2009
Proceedings of the 2009 International Conference on Computer-Aided Design, 2009
2008
Proceedings of the 16th annual IEEE International Conference on Network Protocols, 2008
2006
J. Networks, 2006
2005
Proceedings of the Distributed Computing, 2005