Auroop R. Ganguly

Orcid: 0000-0002-4292-4856

Affiliations:
  • Northeastern University, Boston, MA, USA


According to our database1, Auroop R. Ganguly authored at least 71 papers between 1999 and 2024.

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Bibliography

2024
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance.
CoRR, 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

A Tri-Level Optimization Model for Interdependent Infrastructure Network Resilience Against Compound Hazard Events.
CoRR, 2023

CDA: Contrastive-adversarial Domain Adaptation.
CoRR, 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
Ad Hoc Teamwork in the Presence of Adversaries.
CoRR, 2022

Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations.
CoRR, 2022

Explainable deep learning for insights in El Nino and river flows.
CoRR, 2022

Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice.
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

Fragile Earth: Accelerating Progress towards Equitable Sustainability.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Resilience and coevolution of preferential interdependent networks.
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

A Deep Learning Approach to Short-Term Quantitative Precipitation Forecasting.
Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

2019
DeepEmSat: Deep Emulation for Satellite Data Mining.
Frontiers Big Data, 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
Resilience of the U.S. National Airspace System Airport Network.
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

Resilience and the Coevolution of Interdependent Multiplex Networks.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Climate Adaptation, Introduction.
Proceedings of the Encyclopedia of GIS., 2017

Informing Climate Adaptation with Earth System Models and Big Data.
Proceedings of the Encyclopedia of GIS., 2017

Climate Extremes and Informing Adaptation.
Proceedings of the Encyclopedia of GIS., 2017


Climate and Human Stresses on the Water-Energy-Food Nexus.
Proceedings of the Encyclopedia of GIS., 2017


Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data.
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
Theory-guided Data Science: A New Paradigm for Scientific Discovery.
CoRR, 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

Climate Adaptation Informatics: Water Stress on Power Production.
Comput. Sci. Eng., 2015

2014
Theory-Guided Data Science for Climate Change.
Computer, 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

A graph-based approach to find teleconnections in climate data.
Stat. Anal. Data Min., 2013

2012
Estimating future global per capita water availability based on changes in climate and population.
Comput. Geosci., 2012

Sparse Group Lasso: Consistency and Climate Applications.
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

Mining Extremes: Severe Rainfall and Climate Change.
Proceedings of the ECAI 2012, 2012

Mining time-lagged relationships in spatio-temporal climate data.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

2011
Creating Knowledge for Business Decision Making.
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

Data Mining in Earth System Science (DMESS 2011).
Proceedings of the International Conference on Computational Science, 2011

Comparing Predictive Power in Climate Data: Clustering Matters.
Proceedings of the Advances in Spatial and Temporal Databases, 2011

Sparse Group Lasso for Regression on Land Climate Variables.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Data Guided Discovery of Dynamic Climate Dipoles.
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
An exploration of climate data using complex networks.
SIGKDD Explor., 2010

Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explor., 2010

Complex Networks In Climate Science: Progress, Opportunities And Challenges.
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

Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explor., 2009

Knowledge discovery from data streams.
Intell. Data Anal., 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

Data Mining Geophysical Content from Satellites and Global Climate Models.
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
Incremental Anomaly Detection Approach for Characterizing Unusual Profiles.
Proceedings of the Knowledge Discovery from Sensor Data, 2008

Data Mining for Climate Change and Impacts.
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
Online change detection: Monitoring land cover from remotely sensed data.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2002
A hybrid approach to improving rainfall forecasts.
Comput. Sci. Eng., 2002

1999
A hybrid model based on dynamic programming, neural networks, and surrogate value for inventory optimisation applications.
J. Oper. Res. Soc., 1999


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