Auroop R. Ganguly

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 34

Top Topics

Satellite Imagery

Top Venues

Soc. Netw. Anal. Min.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao
Fragile Earth: Generative and Foundational Models for Sustainable Development. KDD (2024)
Ted Fujimoto, Joshua Suetterlein, Samrat Chatterjee, Auroop R. Ganguly
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance. CoRR (2024)
Kate Duffy, Thomas J. Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly
A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Nishant Yadav, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Chetan Gupta, Auroop R. Ganguly
CDA: Contrastive-adversarial Domain Adaptation. CoRR (2023)
Matthew R. Oster, Ilya Amburg, Samrat Chatterjee, Daniel A. Eisenberg, Dennis G. Thomas, Feng Pan, Auroop R. Ganguly
A Tri-Level Optimization Model for Interdependent Infrastructure Network Resilience Against Compound Hazard Events. CoRR (2023)
Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. KDD (2023)
Puja Das, Kat Jensen, Shaunak De, Auroop R. Ganguly
Flood Depth Estimation Using Synthetic Aperture Radar (SAR) Imagery and Topography: A Case Study of the 2021 and 2022 Floods in Hawkesbury Valley, Australia. IGARSS (2023)
Nishant Yadav, Meytar Sorek-Hamer, Michael Von Pohle, Ata Akbari Asanjan, Adwait Sahasrabhojanee, Esra Suel, Raphael Arku, Violet Lingenfelter, Michael Brauer, Majid Ezzati, Nikunj C. Oza, Auroop R. Ganguly
Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations. CoRR (2022)
Bharat Sharma, Jitendra Kumar, Auroop R. Ganguly, Forrest M. Hoffman
Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes. ICDM (Workshops) (2022)
Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu
Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice. KDD (2022)
Yumin Liu, Kate Duffy, Jennifer G. Dy, Auroop R. Ganguly
Explainable deep learning for insights in El Nino and river flows. CoRR (2022)
Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan
Fragile Earth: Accelerating Progress towards Equitable Sustainability. KDD (2021)
Nidhin Harilal, Udit Bhatia, Auroop R. Ganguly
Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise. CoRR (2021)
Yumin Liu, Auroop R. Ganguly, Jennifer G. Dy
Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion. KDD (2020)
Auroop R. Ganguly, Tanay Mehta, Tirthak Patel, Ravi Sundaram, Devesh Tiwari
Resilience and coevolution of preferential interdependent networks. Soc. Netw. Anal. Min. 10 (1) (2020)
Nishant Yadav, Auroop R. Ganguly
A Deep Learning Approach to Short-Term Quantitative Precipitation Forecasting. CI (2020)
Nishant Yadav, Sai Ravela, Auroop R. Ganguly
Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling. CoRR (2020)
Kate Duffy, Thomas Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly
Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC). CoRR (2019)
Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. CoRR (2019)
Yumin Liu, Junxiang Chen, Auroop R. Ganguly, Jennifer G. Dy
Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction. KDD (2019)
Kate Duffy, Thomas Vandal, Shuang Li, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
DeepEmSat: Deep Emulation for Satellite Data Mining. Frontiers Big Data 2 (2019)
Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. ICDM Workshops (2018)
Kevin L. Clark, Udit Bhatia, Evan Kodra, Auroop R. Ganguly
Resilience of the U.S. National Airspace System Airport Network. IEEE Trans. Intell. Transp. Syst. 19 (12) (2018)
Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. CoRR (2018)
Udit Bhatia, Auroop R. Ganguly, Stephen E. Flynn
. Big Data 6 (3) (2018)
Auroop R. Ganguly, Tanbay Mehta, Ravi Sundaram, Devesh Tiwari
Resilience and the Coevolution of Interdependent Multiplex Networks. ASONAM (2018)
Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. KDD (2018)
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version. IJCAI (2018)
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. KDD (2017)
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. CoRR (2017)
Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Trans. Knowl. Data Eng. 29 (10) (2017)
Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
Theory-guided Data Science: A New Paradigm for Scientific Discovery. CoRR (2016)
Debasish Das, Auroop R. Ganguly, Zoran Obradovic
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. 53 (12) (2015)
Auroop R. Ganguly, Devashish Kumar, Poulomi Ganguli, Geoffrey Short, James Klausner
Climate Adaptation Informatics: Water Stress on Power Production. Comput. Sci. Eng. 17 (6) (2015)
James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael S. Steinbach, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova
Theory-Guided Data Science for Climate Change. Computer 47 (11) (2014)
Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Peter K. Snyder, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi
A graph-based approach to find teleconnections in climate data. Stat. Anal. Data Min. 6 (3) (2013)
Debasish Das, Evan Kodra, Zoran Obradovic, Auroop R. Ganguly
Mining Extremes: Severe Rainfall and Climate Change. ECAI (2012)
Ranga Raju Vatsavai, Auroop R. Ganguly, Varun Chandola, Anthony Stefanidis, Scott Klasky, Shashi Shekhar
Spatiotemporal data mining in the era of big spatial data: algorithms and applications. BigSpatial@SIGSPATIAL (2012)
Jaya Kawale, Stefan Liess, Vipin Kumar, Upmanu Lall, Auroop R. Ganguly
Mining time-lagged relationships in spatio-temporal climate data. CIDU (2012)
Esther S. Parish, Evan Kodra, Karsten Steinhaeuser, Auroop R. Ganguly
Estimating future global per capita water availability based on changes in climate and population. Comput. Geosci. 42 (2012)
Debasish Das, Auroop R. Ganguly, Snigdhansu Chatterjee, Vipin Kumar, Zoran Obradovic
Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes. IGARSS (2012)
Soumyadeep Chatterjee, Karsten Steinhaeuser, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly
Sparse Group Lasso: Consistency and Climate Applications. SDM (2012)
Alex Pelan, Karsten Steinhaeuser, Nitesh V. Chawla, Dilkushi A. de Alwis Pitts, Auroop R. Ganguly
Empirical comparison of correlation measures and pruning levels in complex networks representing the global climate system. CIDM (2011)
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly
Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science. Stat. Anal. Data Min. 4 (5) (2011)
Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi, Peter K. Snyder, Vipin Kumar
Data Guided Discovery of Dynamic Climate Dipoles. CIDU (2011)
Forrest M. Hoffman, J. Walter Larson, Richard Tran Mills, Bjørn-Gustaf J. Brooks, Auroop R. Ganguly, William W. Hargrove, Jian Huang, Jitendra Kumar, Ranga Raju Vatsavai
Data Mining in Earth System Science (DMESS 2011). ICCS (2011)
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly
Comparing Predictive Power in Climate Data: Clustering Matters. SSTD (2011)
Soumyadeep Chatterjee, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly
Sparse Group Lasso for Regression on Land Climate Variables. ICDM Workshops (2011)
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly
Complex Networks In Climate Science: Progress, Opportunities And Challenges. CIDU (2010)
Caitlin Race, Michael S. Steinbach, Auroop R. Ganguly, Fredrick H. M. Semazzi, Vipin Kumar
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. CIDU (2010)
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly
An exploration of climate data using complex networks. SIGKDD Explor. 12 (1) (2010)
Varun Chandola, Olufemi A. Omitaomu, Auroop R. Ganguly, Ranga Raju Vatsavai, Nitesh V. Chawla, João Gama, Mohamed Medhat Gaber
Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. 12 (2) (2010)
David Erickson, Jamison Daniel, Melissa R. Allen, Auroop R. Ganguly, Forrest M. Hoffman, Steven Pawson, Lesley Ott, Eric Neilson
Data Mining Geophysical Content from Satellites and Global Climate Models. ICDM Workshops (2009)
Amrudin Agovic, Arindam Banerjee, Auroop R. Ganguly, Vladimir Protopopescu
Anomaly detection using manifold embedding and its applications in transportation corridors. Intell. Data Anal. 13 (3) (2009)
João Gama, Auroop R. Ganguly, Olufemi A. Omitaomu, Ranga Raju Vatsavai, Mohamed Medhat Gaber
Knowledge discovery from data streams. Intell. Data Anal. 13 (3) (2009)
Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, João Gama, Mohamed Medhat Gaber
Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. 11 (2) (2009)
Olufemi A. Omitaomu, Auroop R. Ganguly, Bruce W. Patton, Vladimir A. Protopopescu
Anomaly Detection in Radiation Sensor Data With Application to Transportation Security. IEEE Trans. Intell. Transp. Syst. 10 (2) (2009)
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly
An exploration of climate data using complex networks. KDD Workshop on Knowledge Discovery from Sensor Data (2009)
Auroop R. Ganguly, Karsten Steinhaeuser, Alexandre Sorokine, Esther S. Parish, Shih-Chieh Kao, Marcia L. Branstetter
Geographic analysis & visualization of climate extremes for the Quadrennial Defense Review. GIS (2009)
Shih-Chieh Kao, Auroop R. Ganguly, Karsten Steinhaeuser
Motivating Complex Dependence Structures in Data Mining: A Case Study with Anomaly Detection in Climate. ICDM Workshops (2009)
Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly
Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. 10 (2) (2008)
Yi Fang, Olufemi A. Omitaomu, Auroop R. Ganguly
Incremental Anomaly Detection Approach for Characterizing Unusual Profiles. KDD Workshop on Knowledge Discovery from Sensor Data (2008)
Auroop R. Ganguly, Karsten Steinhaeuser
Data Mining for Climate Change and Impacts. ICDM Workshops (2008)
Amar Gupta, Satwik Seshasai, Sourav Mukherji, Auroop R. Ganguly
Offshoring: The Transition From Economic Drivers Toward Strategic Global Partnership and 24-Hour Knowledge Factory. J. Electron. Commer. Organ. 5 (2) (2007)
Yi Fang, Auroop R. Ganguly, Nagendra Singh, Veeraraghavan Vijayaraj, Neal Feierabend, David T. Potere
Online change detection: Monitoring land cover from remotely sensed data. ICDM Workshops (2006)
Auroop R. Ganguly
A hybrid approach to improving rainfall forecasts. Comput. Sci. Eng. 4 (4) (2002)
Constantino Carlos Reyes-Aldasoro, Auroop R. Ganguly, G. Lemus, Amar Gupta
A hybrid model based on dynamic programming, neural networks, and surrogate value for inventory optimisation applications. J. Oper. Res. Soc. 50 (1) (1999)