Ranga Raju Vatsavai

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Shashi ShekharMcKnight Distinguished University Professor of Computer Science, University of MinnesotaVerified email at umn.edu
Varun ChandolaAssociate Professor, Computer Science Department, University at BuffaloVerified email at buffalo.edu
Auroop GangulyProfessor, Northeastern University, Boston, MAVerified email at neu.edu
Anil CheriyadatResearch Scientist Oak Ridge National LaboratoryVerified email at ornl.gov
OluFemi A. OmitaomuSenior R&D Staff, Oak Ridge National LaboratoryVerified email at ornl.gov
sanjay chawlaQatar Computing Research Institute, HBKUVerified email at sydney.edu.au
Joao GamaProfessor, Faculty of Economics, University of PortoVerified email at fep.up.pt
Yan Huang (黄艳）University of North TexasVerified email at unt.edu
Mohamed Medhat GaberProfessor in Data Analytics, Birmingham City University, and Galala UniversityVerified email at bcu.ac.uk
Eddie BrightDistinguished Research Scientist, Oak Ridge National LaboratoryVerified email at ornl.gov
Shaun GleasonDirector, Computational Sciences and Engineering Division, ORNLVerified email at ornl.gov
Chang-Tien LuComputer Science, Virginia TechVerified email at vt.edu
Anthony StefanidisProfessor of Computer Science, College of William and MaryVerified email at wm.edu
Weili (Lily) WuProfessor of Computer Science, University of Texas at DallasVerified email at utdallas.edu
Nitesh V ChawlaFrank Freimann Professor of Computer Science & Engg., Notre DameVerified email at nd.edu
Paul SchraterUniversity of MinnesotaVerified email at umn.edu
Juan Carlos IdroboOak Ridge National LaboratoryVerified email at ornl.gov
Scott KlaskyOak Ridge National LaboratoryVerified email at ornl.gov
Sharma Chakravarthyprofessor of computer science, The University of Texas at ArlingtonVerified email at cse.uta.edu
Mukesh MohaniaIIIT DelhiVerified email at iiitd.ac.in

Ranga Raju Vatsavai

Associate Professor, Computer Science Dept., NCSU

Verified email at ncsu.edu - Homepage

Spatiotemporal Databases and Data Mining Remote Sensing and Image Understanding Computational Geoinformatics HPC and Cloud Co


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Geographic data mining and knowledge discovery HJ Miller, J Han CRC press, 2009	976	2009
Spatial contextual classification and prediction models for mining geospatial data S Shekhar, PR Schrater, RR Vatsavai, W Wu, S Chawla IEEE Transactions on Multimedia 4 (2), 174-188, 2002	230	2002
Trends in spatial data mining S Shekhar, P Zhang, Y Huang, RR Vatsavai Data mining: Next generation challenges and future directions, 357-380, 2003	175	2003
Spatiotemporal data mining in the era of big spatial data: algorithms and applications RR Vatsavai, A Ganguly, V Chandola, A Stefanidis, S Klasky, S Shekhar Proceedings of the 1st ACM SIGSPATIAL international workshop on analytics …, 2012	151	2012
Real-time simulation of power grid disruption SJ Fernandez, M Shankar, JJ Nutaro, Y Liu, AD Dimitrovski, ... US Patent App. 13/747,779, 2013	143	2013
A visualization tool for spatial data warehouses S Shekhar, C Lu, X Tan, S Chawla, R Vatsavai Geographic data mining and knowledge discovery 73, 16-72, 2001	143	2001
Image based characterization of formal and informal neighborhoods in an urban landscape J Graesser, A Cheriyadat, RR Vatsavai, V Chandola, J Long, E Bright IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2012	142	2012
WMS and GML based interoperable web mapping system S Shekhar, RR Vatsavai, N Sahay, TE Burk, S Lime Proceedings of the 9th ACM international symposium on Advances in geographic …, 2001	69	2001
Spatial data mining S Shekhar, P Zhang, Y Huang Data mining and knowledge discovery handbook, 837-854, 2009	67	2009
UMN-MapServer: A high-performance, interoperable, and open source web mapping and geo-spatial analysis system RR Vatsavai, S Shekhar, TE Burk, S Lime International Conference on Geographic Information Science, 400-417, 2006	64	2006
A gaussian process based online change detection algorithm for monitoring periodic time series V Chandola, RR Vatsavai Proceedings of the 2011 SIAM International Conference on Data Mining, 95-106, 2011	60	2011
Monitoring land-cover changes: A machine-learning perspective A Karpatne, Z Jiang, RR Vatsavai, S Shekhar, V Kumar IEEE Geoscience and Remote Sensing Magazine 4 (2), 8-21, 2016	58	2016
A Web-based browsing and spatial analysis system for regional natural resource analysis and mapping RR Vatsavai, TE Burk, BT Wilson, S Shekhar Proceedings of the 8th ACM international symposium on Advances in geographic …, 2000	51	2000
Knowledge discovery from sensor data AR Ganguly, J Gama, OA Omitaomu, MM Gaber, RR Vatsavai CRC, 2008	48	2008
Unsupervised semantic labeling framework for identification of complex facilities in high-resolution remote sensing images RR Vatsavai, A Cheriyadat, S Gleason 2010 IEEE International Conference on Data Mining Workshops, 273-280, 2010	45	2010
Detecting magnetic ordering with atomic size electron probes JC Idrobo, J Rusz, J Spiegelberg, MA McGuire, CT Symons, RR Vatsavai, ... Advanced Structural and Chemical Imaging 2 (1), 1-10, 2016	42	2016
Machine learning approaches for high-resolution urban land cover classification: a comparative study RR Vatsavai, E Bright, C Varun, B Budhendra, A Cheriyadat, J Grasser Proceedings of the 2nd international conference on computing for geospatial …, 2011	42	2011
A scalable gaussian process analysis algorithm for biomass monitoring V Chandola, RR Vatsavai Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (4 …, 2011	39	2011
A semi-supervised learning method for remote sensing data mining RR Vatsavai, S Shekhar, TE Burk 17th IEEE International Conference on Tools with Artificial Intelligence …, 2005	38	2005
Gaussian multiple instance learning approach for mapping the slums of the world using very high resolution imagery RR Vatsavai Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	35	2013

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