Auroop R. Ganguly
Orcid: 0000-0002-4292-4856Affiliations:
- Northeastern University, Boston, MA, USA
According to our database1,
Auroop R. Ganguly
authored at least 72 papers
between 1999 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on civ.neu.edu
On csauthors.net:
Bibliography
2024
A tri-level optimization model for interdependent infrastructure network resilience against compound hazard events.
Int. J. Crit. Infrastructure Prot., 2024
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2023
A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing.
IEEE Trans. Neural Networks Learn. Syst., July, 2023
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Flood Depth Estimation Using Synthetic Aperture Radar (SAR) Imagery and Topography: A Case Study of the 2021 and 2022 Floods in Hawkesbury Valley, Australia.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations.
CoRR, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
2021
Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise.
CoRR, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
2020
Soc. Netw. Anal. Min., 2020
Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling.
CoRR, 2020
Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020
2019
Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC).
CoRR, 2019
Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
IEEE Trans. Intell. Transp. Syst., 2018
Book Interview: <i>Critical Infrastructures Resilience: Policy and Engineering</i> <i>Principles</i>.
Big Data, 2018
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Extreme Values from Spatiotemporal Chaos: Precipitation Extremes and Climate Variability.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
Proceedings of the Encyclopedia of GIS., 2017
Proceedings of the Encyclopedia of GIS., 2017
Proceedings of the Encyclopedia of GIS., 2017
Proceedings of the Encyclopedia of GIS., 2017
Proceedings of the Encyclopedia of GIS., 2017
IEEE Trans. Knowl. Data Eng., 2017
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
2016
2015
A Bayesian Sparse Generalized Linear Model With an Application to Multiscale Covariate Discovery for Observed Rainfall Extremes Over the United States.
IEEE Trans. Geosci. Remote. Sens., 2015
Comput. Sci. Eng., 2015
2014
2013
Towards a Characterization and Systematic Evaluation Framework for Theories and Models of Human, Social, Behavioral, and Cultural Processes within Agent-Based Models.
Proceedings of the Managing Complexity: Practical Considerations in the Development and Application of ABMs to Contemporary Policy Challenges, 2013
Stat. Anal. Data Min., 2013
2012
Estimating future global per capita water availability based on changes in climate and population.
Comput. Geosci., 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Spatiotemporal data mining in the era of big spatial data: algorithms and applications.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2012
Proceedings of the ECAI 2012, 2012
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012
2011
Proceedings of the Encyclopedia of Knowledge Management, Second Edition, 2011
Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science.
Stat. Anal. Data Min., 2011
Proceedings of the International Conference on Computational Science, 2011
Proceedings of the Advances in Spatial and Temporal Databases, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011
Empirical comparison of correlation measures and pruning levels in complex networks representing the global climate system.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011
2010
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010
A Knowledge Discovery Strategy for Relating Sea Surface Temperatures to Frequencies of Tropical Storms and Generating Predictions of Hurricanes Under 21st-century Global Warming Scenarios.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010
2009
Anomaly Detection in Radiation Sensor Data With Application to Transportation Security.
IEEE Trans. Intell. Transp. Syst., 2009
Anomaly detection using manifold embedding and its applications in transportation corridors.
Intell. Data Anal., 2009
Motivating Complex Dependence Structures in Data Mining: A Case Study with Anomaly Detection in Climate.
Proceedings of the ICDM Workshops 2009, 2009
Proceedings of the ICDM Workshops 2009, 2009
Geographic analysis & visualization of climate extremes for the Quadrennial Defense Review.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009
2008
Proceedings of the Knowledge Discovery from Sensor Data, 2008
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2007
Offshoring: The Transition From Economic Drivers Toward Strategic Global Partnership and 24-Hour Knowledge Factory.
J. Electron. Commer. Organ., 2007
2006
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
2002
1999
A hybrid model based on dynamic programming, neural networks, and surrogate value for inventory optimisation applications.
J. Oper. Res. Soc., 1999