Auroop R. Ganguly

86 papers A* 9A 2B 2C 3Misc 1Journal 40Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Resilience Patterns in Dynamic Aircraft-to-Aircraft Communication Networks. IEEE Trans. Intell. Transp. Syst. Dennis G. Thomas, Samrat Chatterjee, Auroop R. Ganguly
2026	J	`jnl`	What on Earth is AlphaEarth? Hierarchical structure and functional interpretability for global land cover. CoRR Iván Felipe Benavides-Martínez, Justin Guthrie, Jhon Edwin Arias, Yeison Alberto Garcés-Gómez, Ángela Inés Guzmán-Alvis, Cristiam Victoriano Portilla-Cabrera, Somnath Mondal, Andrew Allyn, Auroop R. Ganguly
2025	J	`jnl`	An Ecologically-Informed Deep Learning Framework for Interpretable and Validatable Habitat Mapping. CoRR Iván Felipe Benavides-Martínez, Cristiam Victoriano Portilla-Cabrera, Katherine Mills, Claire Enterline, José Garcés-Vargas, Andrew Allyn, Auroop R. Ganguly
2025	—	`conf`	Fragile Earth: Innovative AI For Climate Risk Mitigation. KDD (2) Emre Eftelioglu, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Kathleen Buckingham, Auroop R. Ganguly, James Hodson
2024	J	`jnl`	A tri-level optimization model for interdependent infrastructure network resilience against compound hazard events. Int. J. Crit. Infrastructure Prot. Matthew R. Oster, Ilya Amburg, Samrat Chatterjee, Daniel A. Eisenberg, Dennis G. Thomas, Feng Pan, Auroop R. Ganguly
2024	J	`jnl`	Assessing the Impact of Distribution Shift on Reinforcement Learning Performance. CoRR Ted Fujimoto, Joshua Suetterlein, Samrat Chatterjee, Auroop R. Ganguly
2024	A*	`conf`	Fragile Earth: Generative and Foundational Models for Sustainable Development. KDD Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao
2024	J	`jnl`	Paraformer: Parameterization of Sub-grid Scale Processes Using Transformers. CoRR Shuochen Wang, Nishant Yadav, Auroop R. Ganguly
2023	J	`jnl`	A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing. IEEE Trans. Neural Networks Learn. Syst. Kate Duffy, Thomas J. Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly
2023	J	`jnl`	A Tri-Level Optimization Model for Interdependent Infrastructure Network Resilience Against Compound Hazard Events. CoRR Matthew R. Oster, Ilya Amburg, Samrat Chatterjee, Daniel A. Eisenberg, Dennis G. Thomas, Feng Pan, Auroop R. Ganguly
2023	J	`jnl`	CDA: Contrastive-adversarial Domain Adaptation. CoRR Nishant Yadav, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Chetan Gupta, Auroop R. Ganguly
2023	C	`conf`	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 Puja Das, Kat Jensen, Shaunak De, Auroop R. Ganguly
2023	A*	`conf`	Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. KDD 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
2022	J	`jnl`	Ad Hoc Teamwork in the Presence of Adversaries. CoRR Ted Fujimoto, Samrat Chatterjee, Auroop R. Ganguly
2022	J	`jnl`	Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations. CoRR 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
2022	J	`jnl`	Explainable deep learning for insights in El Nino and river flows. CoRR Yumin Liu, Kate Duffy, Jennifer G. Dy, Auroop R. Ganguly
2022	A*	`conf`	Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice. KDD Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu
2022	—	`conf`	Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes. ICDM (Workshops) Bharat Sharma, Jitendra Kumar, Auroop R. Ganguly, Forrest M. Hoffman
2021	J	`jnl`	Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise. CoRR Nidhin Harilal, Udit Bhatia, Auroop R. Ganguly
2021	A*	`conf`	Fragile Earth: Accelerating Progress towards Equitable Sustainability. KDD Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan
2020	—	`conf`	A Deep Learning Approach to Short-Term Quantitative Precipitation Forecasting. CI Nishant Yadav, Auroop R. Ganguly
2020	A*	`conf`	Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion. KDD Yumin Liu, Auroop R. Ganguly, Jennifer G. Dy
2020	J	`jnl`	Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling. CoRR Nishant Yadav, Sai Ravela, Auroop R. Ganguly
2020	J	`jnl`	Resilience and coevolution of preferential interdependent networks. Soc. Netw. Anal. Min. Auroop R. Ganguly, Tanay Mehta, Tirthak Patel, Ravi Sundaram, Devesh Tiwari
2019	J	`jnl`	Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC). CoRR Kate Duffy, Thomas Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly
2019	J	`jnl`	DeepEmSat: Deep Emulation for Satellite Data Mining. Frontiers Big Data Kate Duffy, Thomas Vandal, Shuang Li, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
2019	A*	`conf`	Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction. KDD Yumin Liu, Junxiang Chen, Auroop R. Ganguly, Jennifer G. Dy
2019	J	`jnl`	Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. CoRR 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
2018	J	`jnl`	Book Interview: Big Data Udit Bhatia, Auroop R. Ganguly, Stephen E. Flynn
2018	A*	`conf`	Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version. IJCAI Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
2018	—	`conf`	Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. ICDM Workshops 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
2018	A*	`conf`	Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. KDD Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
2018	J	`jnl`	Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. CoRR Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
2018	B	`conf`	Resilience and the Coevolution of Interdependent Multiplex Networks. ASONAM Auroop R. Ganguly, Tanbay Mehta, Ravi Sundaram, Devesh Tiwari
2018	J	`jnl`	Resilience of the U.S. National Airspace System Airport Network. IEEE Trans. Intell. Transp. Syst. Kevin L. Clark, Udit Bhatia, Evan Kodra, Auroop R. Ganguly
2017	—	`ch.`	Climate Adaptation, Introduction. Encyclopedia of GIS Shahed Najjar, Udit Bhatia, Auroop R. Ganguly
2017	—	`ch.`	Climate Change and Developmental Economies. Encyclopedia of GIS Lindsey Bressler, Kara Morgan, Allison Traylor, Hayden Henderson, Udit Bhatia, Babak Fard, Devashish Kumar, Rajarshi Majumder, Sourav Mukherji, Joyashree Roy, Matthias Ruth, Auroop R. Ganguly
2017	—	`ch.`	Climate Extremes and Informing Adaptation. Encyclopedia of GIS Hayden Henderson, Laura Blumenfeld, Allison Traylor, Udit Bhatia, Devashish Kumar, Evan Kodra, Auroop R. Ganguly
2017	—	`ch.`	Climate Hazards and Critical Infrastructures Resilience. Encyclopedia of GIS Udit Bhatia, Allison Traylor, Catherine Moskos, Laura Blumenfeld, Lindsey Bressler, Tyler Hall, Rachael Heiss, Kevin D. Clark, Nan Deng, Devashish Kumar, Evan Kodra, Stephen E. Flynn, Haris N. Koutsopoulos, Jerome F. Hajjar, Auroop R. Ganguly
2017	—	`ch.`	Climate and Human Stresses on the Water-Energy-Food Nexus. Encyclopedia of GIS Laura Blumenfeld, Tyler Hall, Hayden Henderson, Lindsey Bressler, Catherine Moskos, Udit Bhatia, Poulomi Ganguli, Devashish Kumar, Auroop R. Ganguly
2017	A*	`conf`	DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. KDD Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
2017	J	`jnl`	DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. CoRR Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
2017	—	`ch.`	Informing Climate Adaptation with Earth System Models and Big Data. Encyclopedia of GIS Catherine Moskos, Hayden Henderson, Lindsey Bressler, Udit Bhatia, Devashish Kumar, Evan Kodra, Auroop R. Ganguly
2017	J	`jnl`	Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Trans. Knowl. Data Eng. Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
2016	J	`jnl`	Theory-guided Data Science: A New Paradigm for Scientific Discovery. CoRR Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
2015	J	`jnl`	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. Debasish Das, Auroop R. Ganguly, Zoran Obradovic
2015	J	`jnl`	Climate Adaptation Informatics: Water Stress on Power Production. Comput. Sci. Eng. Auroop R. Ganguly, Devashish Kumar, Poulomi Ganguli, Geoffrey Short, James Klausner
2014	J	`jnl`	Theory-Guided Data Science for Climate Change. Computer James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael S. Steinbach, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova
2013	J	`jnl`	A graph-based approach to find teleconnections in climate data. Stat. Anal. Data Min. Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Peter K. Snyder, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi
2013	—	`ch.`	Climate Informatics. Computational Intelligent Data Analysis for Sustainable Development Claire Monteleoni, Gavin A. Schmidt, Francis J. Alexander, Alexandru Niculescu-Mizil, Karsten Steinhaeuser, Michael K. Tippett, Arindam Banerjee, M. Benno Blumenthal, Auroop R. Ganguly, Jason E. Smerdon, Marco Tedesco
2013	—	`ch.`	Computational Data Sciences for Actionable Insights on Climate Extremes and Uncertainty. Computational Intelligent Data Analysis for Sustainable Development Auroop R. Ganguly, Evan Kodra, Snigdhansu Chatterjee, Arindam Banerjee, Habib N. Najm
2013	—	`ch.`	Towards a Characterization and Systematic Evaluation Framework for Theories and Models of Human, Social, Behavioral, and Cultural Processes within Agent-Based Models. Managing Complexity Auroop R. Ganguly, Joseph Whitmeyer, Olufemi A. Omitaomu, Peter Brecke, Mirsad Hadzikadic, Paul Gilman, Moutaz Khouja, Steven J. Fernandez, Christopher N. Eichelberger, Thom McLean, Cathy Jiao, Erin Middleton, Ted Carmichael, Amar Saric, Min Sun
2012	J	`jnl`	Estimating future global per capita water availability based on changes in climate and population. Comput. Geosci. Esther S. Parish, Evan Kodra, Karsten Steinhaeuser, Auroop R. Ganguly
2012	A	`conf`	Mining Extremes: Severe Rainfall and Climate Change. ECAI Debasish Das, Evan Kodra, Zoran Obradovic, Auroop R. Ganguly
2012	—	`conf`	Mining time-lagged relationships in spatio-temporal climate data. CIDU Jaya Kawale, Stefan Liess, Vipin Kumar, Upmanu Lall, Auroop R. Ganguly
2012	A	`conf`	Sparse Group Lasso: Consistency and Climate Applications. SDM Soumyadeep Chatterjee, Karsten Steinhaeuser, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly
2012	C	`conf`	Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes. IGARSS Debasish Das, Auroop R. Ganguly, Snigdhansu Chatterjee, Vipin Kumar, Zoran Obradovic
2012	—	`conf`	Spatiotemporal data mining in the era of big spatial data: algorithms and applications. BigSpatial@SIGSPATIAL Ranga Raju Vatsavai, Auroop R. Ganguly, Varun Chandola, Anthony Stefanidis, Scott Klasky, Shashi Shekhar
2011	B	`conf`	Comparing Predictive Power in Climate Data: Clustering Matters. SSTD Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly
2011	J	`jnl`	Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science. Stat. Anal. Data Min. Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly
2011	—	`ch.`	Creating Knowledge for Business Decision Making. Encyclopedia of Knowledge Management Shiraj Khan, Auroop R. Ganguly, Amar Gupta
2011	—	`conf`	Data Guided Discovery of Dynamic Climate Dipoles. CIDU Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi, Peter K. Snyder, Vipin Kumar
2011	Misc	`conf`	Data Mining in Earth System Science (DMESS 2011). ICCS Forrest M. Hoffman, Jay Walter Larson, Richard Tran Mills, Bjørn-Gustaf J. Brooks, Auroop R. Ganguly, William W. Hargrove, Jian Huang, Jitendra Kumar, Ranga Raju Vatsavai
2011	C	`conf`	Empirical comparison of correlation measures and pruning levels in complex networks representing the global climate system. CIDM Alex Pelan, Karsten Steinhaeuser, Nitesh V. Chawla, Dilkushi A. de Alwis Pitts, Auroop R. Ganguly
2011	—	`conf`	Sparse Group Lasso for Regression on Land Climate Variables. ICDM Workshops Soumyadeep Chatterjee, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly
2010	—	`conf`	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 Caitlin Race, Michael S. Steinbach, Auroop R. Ganguly, Fredrick H. M. Semazzi, Vipin Kumar
2010	J	`jnl`	An exploration of climate data using complex networks. SIGKDD Explor. Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly
2010	—	`conf`	Complex Networks In Climate Science: Progress, Opportunities And Challenges. CIDU Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly
2010	—	`ed.`	Knowledge Discovery from Sensor Data, Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers KDD Workshop on Knowledge Discovery from Sensor Data Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly
2010	J	`jnl`	Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. Varun Chandola, Olufemi A. Omitaomu, Auroop R. Ganguly, Ranga Raju Vatsavai, Nitesh V. Chawla, João Gama, Mohamed Medhat Gaber
2009	—	`conf`	An exploration of climate data using complex networks. KDD Workshop on Knowledge Discovery from Sensor Data Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly
2009	J	`jnl`	Anomaly Detection in Radiation Sensor Data With Application to Transportation Security. IEEE Trans. Intell. Transp. Syst. Olufemi A. Omitaomu, Auroop R. Ganguly, Bruce W. Patton, Vladimir A. Protopopescu
2009	J	`jnl`	Anomaly detection using manifold embedding and its applications in transportation corridors. Intell. Data Anal. Amrudin Agovic, Arindam Banerjee, Auroop R. Ganguly, Vladimir Protopopescu
2009	—	`conf`	Data Mining Geophysical Content from Satellites and Global Climate Models. ICDM Workshops David Erickson, Jamison Daniel, Melissa R. Allen, Auroop R. Ganguly, Forrest M. Hoffman, Steven Pawson, Lesley Ott, Eric Neilson
2009	—	`conf`	Geographic analysis & visualization of climate extremes for the Quadrennial Defense Review. GIS Auroop R. Ganguly, Karsten Steinhaeuser, Alexandre Sorokine, Esther S. Parish, Shih-Chieh Kao, Marcia L. Branstetter
2009	J	`jnl`	Knowledge discovery from data streams. Intell. Data Anal. João Gama, Auroop R. Ganguly, Olufemi A. Omitaomu, Ranga Raju Vatsavai, Mohamed Medhat Gaber
2009	J	`jnl`	Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, João Gama, Mohamed Medhat Gaber
2009	—	`conf`	Motivating Complex Dependence Structures in Data Mining: A Case Study with Anomaly Detection in Climate. ICDM Workshops Shih-Chieh Kao, Auroop R. Ganguly, Karsten Steinhaeuser
2009	—	`ed.`	Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, Paris, France, June 28, 2009 KDD Workshop on Knowledge Discovery from Sensor Data Olufemi A. Omitaomu, Auroop R. Ganguly, João Gama, Ranga Raju Vatsavai, Nitesh V. Chawla, Mohamed Medhat Gaber
2008	—	`conf`	Data Mining for Climate Change and Impacts. ICDM Workshops Auroop R. Ganguly, Karsten Steinhaeuser
2008	—	`conf`	Incremental Anomaly Detection Approach for Characterizing Unusual Profiles. KDD Workshop on Knowledge Discovery from Sensor Data Yi Fang, Olufemi A. Omitaomu, Auroop R. Ganguly
2008	J	`jnl`	Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly
2007	J	`jnl`	Offshoring: The Transition From Economic Drivers Toward Strategic Global Partnership and 24-Hour Knowledge Factory. J. Electron. Commer. Organ. Amar Gupta, Satwik Seshasai, Sourav Mukherji, Auroop R. Ganguly
2006	—	`conf`	Online change detection: Monitoring land cover from remotely sensed data. ICDM Workshops Yi Fang, Auroop R. Ganguly, Nagendra Singh, Veeraraghavan Vijayaraj, Neal Feierabend, David T. Potere
2002	J	`jnl`	A hybrid approach to improving rainfall forecasts. Comput. Sci. Eng. Auroop R. Ganguly
1999	J	`jnl`	A hybrid model based on dynamic programming, neural networks, and surrogate value for inventory optimisation applications. J. Oper. Res. Soc. Constantino Carlos Reyes-Aldasoro, Auroop R. Ganguly, G. Lemus, Amar Gupta