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Semantic ScholarAuroop R. Ganguly
Auroop Ratan Ganguly
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- affiliation: Northeastern University, Boston, MA, USA
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2010 – today
- 2018
[j17]Kevin L. Clark, Udit Bhatia, Evan Kodra, Auroop R. Ganguly:
Resilience of the U.S. National Airspace System Airport Network. IEEE Trans. Intelligent Transportation Systems 19(12): 3785-3794 (2018)- [c24]Udit Bhatia, Auroop Ratan Ganguly:
Extreme Values from Spatiotemporal Chaos: Precipitation Extremes and Climate Variability. ICDM Workshops 2018: 758-762 - [c23]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: 763-769 - [c22]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: 5389-5393 - [c21]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: 2377-2386 - [i3]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 abs/1802.04742 (2018) - 2017
- [j16]Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael 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): 2318-2331 (2017) - [c20]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: 1663-1672 - [r7]Shahed Najjar, Udit Bhatia, Auroop R. Ganguly:
Climate Adaptation, Introduction. Encyclopedia of GIS 2017: 173-179 - [r6]Laura Blumenfeld, Tyler Hall, Hayden Henderson, Lindsey Bressler, Catherine Moskos, Udit Bhatia, Poulomi Ganguli, Devashish Kumar, Auroop R. Ganguly:
Climate and Human Stresses on the Water-Energy-Food Nexus. Encyclopedia of GIS 2017: 179-188 - [r5]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:
Climate Change and Developmental Economies. Encyclopedia of GIS 2017: 188 - [r4]Hayden Henderson, Laura Blumenfeld, Allison Traylor, Udit Bhatia, Devashish Kumar, Evan Kodra, Auroop R. Ganguly:
Climate Extremes and Informing Adaptation. Encyclopedia of GIS 2017: 196-206 - [r3]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:
Climate Hazards and Critical Infrastructures Resilience. Encyclopedia of GIS 2017: 206-216 - [r2]Catherine Moskos, Hayden Henderson, Lindsey Bressler, Udit Bhatia, Devashish Kumar, Evan Kodra, Auroop R. Ganguly:
Informing Climate Adaptation with Earth System Models and Big Data. Encyclopedia of GIS 2017: 1050-1054 - [i2]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 abs/1703.03126 (2017) - 2016
- [i1]Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar:
Theory-guided Data Science: A New Paradigm for Scientific Discovery. CoRR abs/1612.08544 (2016) - 2015
- [j15]Auroop R. Ganguly, Devashish Kumar, Poulomi Ganguli, Geoffrey Short, James Klausner:
Climate Adaptation Informatics: Water Stress on Power Production. Computing in Science and Engineering 17(6): 53-60 (2015) - [j14]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. Geoscience and Remote Sensing 53(12): 6689-6702 (2015) - 2014
- [j13]James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael Steinbach, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova:
Theory-Guided Data Science for Climate Change. IEEE Computer 47(11): 74-78 (2014) - 2013
- [j12]Jaya Kawale, Stefan Liess, Arjun Kumar, Michael 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. Statistical Analysis and Data Mining 6(3): 158-179 (2013) - [p1]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:
Towards a Characterization and Systematic Evaluation Framework for Theories and Models of Human, Social, Behavioral, and Cultural Processes within Agent-Based Models. Managing Complexity 2013: 93-136 - 2012
- [j11]Esther S. Parish, Evan Kodra, Karsten Steinhaeuser, Auroop R. Ganguly:
Estimating future global per capita water availability based on changes in climate and population. Computers & Geosciences 42: 79-86 (2012) - [c19]Jaya Kawale, Stefan Liess, Vipin Kumar, Upmanu Lall, Auroop R. Ganguly:
Mining time-lagged relationships in spatio-temporal climate data. CIDU 2012: 130-135 - [c18]Debasish Das, Evan Kodra, Zoran Obradovic, Auroop R. Ganguly:
Mining Extremes: Severe Rainfall and Climate Change. ECAI 2012: 899-900 - [c17]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: 1-10 - [c16]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: 1948-1951 - [c15]Soumyadeep Chatterjee, Karsten Steinhaeuser, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly:
Sparse Group Lasso: Consistency and Climate Applications. SDM 2012: 47-58 - 2011
- [j10]Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly:
Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science. Statistical Analysis and Data Mining 4(5): 497-511 (2011) - [c14]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: 239-245 - [c13]Jaya Kawale, Stefan Liess, Arjun Kumar, Michael 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: 30-44 - [c12]Soumyadeep Chatterjee, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly:
Sparse Group Lasso for Regression on Land Climate Variables. ICDM Workshops 2011: 1-8 - [c11]Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly:
Comparing Predictive Power in Climate Data: Clustering Matters. SSTD 2011: 39-55 - [c10]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: 1450-1455 - [r1]Shiraj Khan, Auroop R. Ganguly, Amar Gupta:
Creating Knowledge for Business Decision Making. Encyclopedia of Knowledge Management 2011: 150-162 - 2010
- [j9]Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly:
An exploration of climate data using complex networks. SIGKDD Explorations 12(1): 25-32 (2010) - [j8]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 Explorations 12(2): 50-53 (2010) - [c9]Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly:
Complex Networks In Climate Science: Progress, Opportunities And Challenges. CIDU 2010: 16-26 - [c8]Caitlin Race, Michael 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: 204-212 - [e2]Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly:
Knowledge Discovery from Sensor Data, Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers. Lecture Notes in Computer Science 5840, Springer 2010, ISBN 978-3-642-12518-8 [contents]
2000 – 2009
- 2009
- [j7]João Gama, Auroop R. Ganguly, Olufemi A. Omitaomu, Ranga Raju Vatsavai, Mohamed Medhat Gaber:
Knowledge discovery from data streams. Intell. Data Anal. 13(3): 403-404 (2009) - [j6]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): 435-455 (2009) - [j5]Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, João Gama, Mohamed Medhat Gaber:
Knowledge discovery from sensor data (SensorKDD). SIGKDD Explorations 11(2): 84-87 (2009) - [j4]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. Intelligent Transportation Systems 10(2): 324-334 (2009) - [c7]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: 542-543 - [c6]David Erickson, Jamison Daniel, Melissa 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: 214-216 - [c5]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: 223-230 - [c4]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: 23-31 - [e1]Olufemi A. Omitaomu, Auroop R. Ganguly, João Gama, Ranga Raju Vatsavai, Nitesh V. Chawla, Mohamed Medhat Gaber:
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, Paris, France, June 28, 2009. ACM 2009, ISBN 978-1-60558-668-7 [contents] - 2008
- [j3]Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly:
Knowledge discovery from sensor data (SensorKDD). SIGKDD Explorations 10(2): 68-73 (2008) - [c3]Auroop R. Ganguly, Karsten Steinhaeuser:
Data Mining for Climate Change and Impacts. ICDM Workshops 2008: 385-394 - [c2]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: 190-202 - 2007
- [j2]Amar Gupta, Satwik Seshasai, Sourav Mukherji, Auroop R. Ganguly:
Offshoring: The Transition From Economic Drivers Toward Strategic Global Partnership and 24-Hour Knowledge Factory. JECO 5(2): 1-23 (2007) - 2006
- [c1]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: 626-631 - 2002
- [j1]Auroop R. Ganguly:
A hybrid approach to improving rainfall forecasts. Computing in Science and Engineering 4(4): 14-21 (2002)
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