Ranga Raju Vatsavai

Oak Ridge National Laboratory

	2012
j13		Ranga Raju Vatsavai, Jordan Graesser: Probabilistic Change Detection Framework for Analyzing Settlement Dynamics Using Very High-resolution Satellite Imagery. Procedia CS 9: 907-916 (2012)
j12		Shaowen Wang, Anand Padmanabhan, Nancy Wilkins-Diehr, Xuan Shi, Ranga Raju Vatsavai: Highlights on ACM HPDGIS 2011: the Second International ACM SIGSPATIAL Workshop on High Performance and Distributed Geographic Information Systems (HPDGIS) 2011: (Chicago, Illinois - November 1, 2011). SIGSPATIAL Special 4(1): 6-7 (2012)
c44		Ranga Raju Vatsavai: A machine learning system for recognizing subclasses. COM.Geo 2012: 32
c43		Ranga Raju Vatsavai: Modeling spatial dependencies and semantic concepts in data mining. COM.Geo 2012: 46
c42		Ranga Raju Vatsavai: Rapid Damage eXplorer (RDX): A Probabilistic Framework for Learning Changes from Bitemporal Images. ICDM Workshops 2012: 906-909
c41		Ranga Raju Vatsavai: A Data Mining Framework for Monitoring Nuclear Facilities. ICDM Workshops 2012: 917
c40		Christopher T. Symons, Ranga Raju Vatsavai, Goo Jun, Itamar Arel: Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning. ICMLA (1) 2012: 415-420
c39		Ranga Raju Vatsavai: Scalable Multi-Instance Learning Approach for Mapping the Slums of the World. SC Companion 2012: 833-837
	2011
j11		Ranga Raju Vatsavai, Budhendra L. Bhaduri: A hybrid classification scheme for mining multisource geospatial data. GeoInformatica 15(1): 29-47 (2011)
j10		Ranga Raju Vatsavai, Christopher T. Symons, Varun Chandola, Goo Jun: GX-Means: A model-based divide and merge algorithm for geospatial image clustering. Procedia CS 4: 186-195 (2011)
j9		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). Procedia CS 4: 1450-1455 (2011)
j8		Varun Chandola, Ranga Raju Vatsavai: A scalable gaussian process analysis algorithm for biomass monitoring. Statistical Analysis and Data Mining 4(4): 430-445 (2011)
j7		Shaowen Wang, Nancy Wilkins-Diehr, Anand Padmanabhan, Xuan Shi, Ranga Raju Vatsavai, Jianting Zhang: HPDGIS 2010 workshop report: ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems (San Jose, California - November 2, 2010). SIGSPATIAL Special 3(1): 8-9 (2011)
c38		Ranga Raju Vatsavai, Eddie A. Bright, Varun Chandola, Budhendra L. Bhaduri, Anil Cheriyadat, Jordan Graesser: Machine learning approaches for high-resolution urban land cover classification: a comparative study. COM.Geo 2011: 11
c37		Varun Chandola, Ranga Raju Vatsavai, Budhendra L. Bhaduri: iGlobe: an interactive visualization and analysis framework for geospatial data. COM.Geo 2011: 21
c36		Ranga Raju Vatsavai: High-Resolution Urban Image Classification Using Extended Features. ICDM Workshops 2011: 869-876
c35		Ranga Raju Vatsavai, M. Tuttle, Budhendra L. Bhaduri, Edward Bright, Anil Cheriyadat, Varun Chandola, Jordan Graesser: Rapid damage assessment using high-resolution remote sensing imagery: Tools and techniques. IGARSS 2011: 1445-1448
c34		Randy S. Roberts, Paul A. Pope, Ranga Raju Vatsavai, Ming Jiang, Lloyd F. Arrowood, Timothy G. Trucano, Shaun S. Gleason, Anil Cheriyadat, Alex Sorokine, Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Lucinda R. Gaines, Lawrence K. Chilton: Design of benchmark imagery for validating facility annotation algorithms. IGARSS 2011: 1453-1456
c33		Shaun S. Gleason, Mesfin Dema, Hamed Sari-Sarraf, Anil Cheriyadat, Ranga Raju Vatsavai, Regina Ferrell: Verification & validation of a semantic image tagging framework via generation of geospatial imagery ground truth. IGARSS 2011: 1577-1580
c32		Varun Chandola, Ranga Raju Vatsavai: A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time Series. SDM 2011: 95-106
	2010
j6		Varun Chandola, Olufemi A. Omitaomu, Auroop R. Ganguly, Ranga Raju Vatsavai, Nitesh V. Chawla, Joao Gama, Mohamed Medhat Gaber: Knowledge discovery from sensor data (SensorKDD). SIGKDD Explorations 12(2): 50-53 (2010)
c31		Varun Chandola, Ranga Raju Vatsavai: Scalable Time Series Change Detection for Biomass Monitoring Using Gaussian Process. CIDU 2010: 69-82
c30		Varun Chandola, Ranga Raju Vatsavai: Multi-temporal remote sensing image classification - A multi-view approach. CIDU 2010: 258-270
c29		Robert Tetrault, Brad Doorn, Alison Goss Eng, Alex Philp, Budhendra L. Bhaduri, Ranga Raju Vatsavai: Emerging geospatial science and technology for sustainable bioenergy. COM.Geo 2010
c28		Varun Chandola, Dafeng Hui, Lianhong Gu, Budhendra L. Bhaduri, Ranga Raju Vatsavai: Using Time Series Segmentation for Deriving Vegetation Phenology Indices from MODIS NDVI Data. ICDM Workshops 2010: 202-208
c27		Ranga Raju Vatsavai, Anil Cheriyadat, Shaun S. Gleason: Unsupervised Semantic Labeling Framework for Identification of Complex Facilities in High-Resolution Remote Sensing Images. ICDM Workshops 2010: 273-280
c26		Ranga Raju Vatsavai, Budhendra L. Bhaduri, Anil Cheriyadat, Lloyd F. Arrowood, Eddie A. Bright, Shaun S. Gleason, Carl Diegert, Aggelos K. Katsaggelos, Thrasos Pappas, Reid Porter, Jim Bollinger, Barry Chen, Ryan Hohimer: Geospatial image mining for nuclear proliferation detection: Challenges and new opportunities. IGARSS 2010: 48-51
c25		Shaun S. Gleason, Regina Ferrell, Anil Cheriyadat, Ranga Raju Vatsavai, Soumya De: Semantic information extraction from multispectral geospatial imagery via a flexible framework. IGARSS 2010: 166-169
e3		Shaowen Wang, Nancy Wilkins-Diehr, Xuan Shi, Ranga Raju Vatsavai, Jianting Zhang (Eds.): Proceedings of the 2010 First International Workshop on High Performance and Distributed Geographic Information Systems, HPDGIS 2010, November 2, 2010, San Jose, CA, USA, Proceedings. ACM 2010, isbn 978-1-4503-0432-0
e2		Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly (Eds.): 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
	2009
j5		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)
j4		Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, Joao Gama, Mohamed Medhat Gaber: Knowledge discovery from sensor data (SensorKDD). SIGKDD Explorations 11(2): 84-87 (2009)
c24		Ranga Raju Vatsavai: BioMon: a Google Earth based continuous biomass monitoring system. GIS 2009: 536-537
c23		Ranga Raju Vatsavai: Incremental Clustering Algorithm for Earth Science Data Mining. ICCS (2) 2009: 375-384
c22		Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh: Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes. ICDM Workshops 2009: 597-603
c21		Ranga Raju Vatsavai: Phenological event detection from multitemporal image data. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 49-55
e1		Olufemi A. Omitaomu, Auroop R. Ganguly, João Gama, Ranga Raju Vatsavai, Nitesh V. Chawla, Mohamed Medhat Gaber (Eds.): 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
	2008
j3		Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly: Knowledge discovery from sensor data (SensorKDD). SIGKDD Explorations 10(2): 68-73 (2008)
c20		Veeraraghavan Vijayaraj, Anil Cheriyadat, Phil Sallee, Brian Colder, Ranga Raju Vatsavai, Eddie A. Bright, Budhendra L. Bhaduri: Overhead image statistics. AIPR 2008: 1-8
c19		Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk, Budhendra L. Bhaduri: *Miner: a spatial and spatiotemporal data mining system. GIS 2008: 86
c18		Ranga Raju Vatsavai, Shashi Shekhar, Budhendra L. Bhaduri: A Semi-supervised Learning Algorithm for Recognizing Sub-classes. ICDM Workshops 2008: 458-467
c17		Ranga Raju Vatsavai, Shashi Shekhar, Budhendra L. Bhaduri: Sub-class Recognition from Aggregate Class Labels: Preliminary Results. ICTAI (1) 2008: 61-64
c16		Ranga Raju Vatsavai, Budhendra L. Badhuri, Shashi Shekhar, Thomas E. Burk: Multisource Data Classification using a Hybrid Semi-Supervised Learning Scheme. IGARSS (3) 2008: 1016-1019
c15		Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk, Budhendra L. Bhaduri: *Miner: A Suit of Classifiers for Spatial, Temporal, Ancillary, and Remote Sensing Data Mining. ITNG 2008: 801-806
c14		Ranga Raju Vatsavai, Shashi Shekhar, Budhendra L. Bhaduri: A Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes. SSPR/SPR 2008: 967-976
r1		Ranga Raju Vatsavai, Thomas E. Burk, Stephen Lime: University of Minnesota (UMN) Map Server. Encyclopedia of GIS 2008: 1197-1205
	2007
j2		Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk: An efficient spatial semi-supervised learning algorithm. IJPEDS 22(6): 427-437 (2007)
c13		Ranga Raju Vatsavai, Budhendra L. Bhaduri: A Hybrid Classification Scheme for Mining Multisource Geospatial Data. ICDM Workshops 2007: 673-678
	2006
c12		Laurent Mignet, Jayanta Basak, Manish Bhide, Prasan Roy, Sourashis Roy, Vibhuti S. Sengar, Ranga Raju Vatsavai, Michael Reichert, Torsten Steinbach, D. V. S. Ravikant, Soujanya Vadapalli: Improving DB2 Performance Expert - A Generic Analysis Framework. EDBT 2006: 1097-1101
c11		Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk, Stephen Lime: UMN-MapServer: A High-Performance, Interoperable, and Open Source Web Mapping and Geo-spatial Analysis System. GIScience 2006: 400-417
c10		Ranga Raju Vatsavai, Sharma Chakravarthy, Mukesh K. Mohania: Access Control Inference And Feedback For Policy Managers: A Fine-Grained Analysis. POLICY 2006: 35-44
	2005
c9		Rohit Lotlikar, Ranga Raju Vatsavai, Mukesh K. Mohania, Sharma Chakravarthy: Policy Schedule Advisor for Performance Management. ICAC 2005: 183-192
c8		Ranga Raju Vatsavai, Sharma Chakravarthy, Mukesh K. Mohania: How to Leverage Access Control Specification for Autonomic Policy Management. ICAC 2005: 358-359
c7		Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk: A Semi-Supervised Learning Method for Remote Sensing Data Mining. ICTAI 2005: 207-211
c6		Rohit Lotlikar, Sharma Chakravarthy, Ranga Raju Vatsavai, Mukesh K. Mohania: Analyzing Policy Dependencies Using Historical Information. POLICY 2005: 79-88
	2004
p1		Shashi Shekhar, Ranga Raju Vatsavai, Xiaobin Ma, Jin Soung Yoo: Navigation Systems: A Spatial Database Perspective. Location-Based Services 2004: 41-82
c5		Baris M. Kazar, Shashi Shekhar, David J. Lilja, Ranga Raju Vatsavai, R. Kelley Pace: Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis. GIScience 2004: 140-161
	2002
j1		Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsavai, Weili Wu, Sanjay Chawla: Spatial contextual classification and prediction models for mining geospatial data. IEEE Transactions on Multimedia 4(2): 174-188 (2002)
	2001
c4		Shashi Shekhar, Ranga Raju Vatsavai, Namita Sahay, Thomas E. Burk, Stephen Lime: WMS and GML based Interoperable Web Mapping System. ACM-GIS 2001: 106-111
c3		Ranga Raju Vatsavai, Thomas E. Burk, Shashi Shekhar, Mark H. Hansen: An efficient query strategy for integrated Remote Sensing and inventory (Spatial) Databases. SSDBM 2001: 115-123
	2000
c2		Ranga Raju Vatsavai, Thomas E. Burk, B. Tyler Wilson, Shashi Shekhar: A Web-based browsing and spatial analysis system for regional natural resource analysis and mapping. ACM-GIS 2000: 95-101
	1999
c1		Shashi Shekhar, Ranga Raju Vatsavai, Sanjay Chawla, Thomas E. Burk: Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data Models. Integrated Spatial Databases 1999: 77-104

Coauthor Index

Colors in the list of coauthors

Last update Thu May 23 14:36:45 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page