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Ranga R. Vatsavai, Ph.D. - Publications

Affiliations: 
2008 Computer Science University of Minnesota, Twin Cities, Minneapolis, MN 
Area:
Computer Science
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29 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Karpatne A, Jiang Z, Vatsavai RR, Shekhar S, Kumar V. Monitoring land-cover changes: A machine-learning perspective Ieee Geoscience and Remote Sensing Magazine. 4: 8-21. DOI: 10.1109/Mgrs.2016.2528038  0.451
2015 Sethi M, Yan Y, Rangarajan A, Vatsavai RR, Ranka S. Scalable machine learning approaches for neighborhood classification using very high resolution remote sensing imagery Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 2015: 2069-2078. DOI: 10.1145/2783258.2788625  0.328
2015 Vatsavai RR. A Scalable Complex Pattern Mining Framework for Global Settlement Mapping Proceedings - 2015 Ieee International Congress On Big Data, Bigdata Congress 2015. 514-521. DOI: 10.1109/BigDataCongress.2015.81  0.366
2015 Chandola V, Vatsavai RR, Kumar D, Ganguly A. Analyzing Big Spatial and Big Spatiotemporal Data: A Case Study of Methods and Applications Handbook of Statistics. 33: 239-258. DOI: 10.1016/B978-0-444-63492-4.00010-1  0.352
2013 Vatsavai RR. Object based image classification: State of the art and computational challenges Proceedings of the 2nd Acm Sigspatial International Workshop On Analytics For Big Geospatial Data, Bigspatial 2013. 73-79. DOI: 10.1145/2534921.2534927  0.395
2013 Shekar S, Agouris P, Vatsavai RR, Huang Y, Stefanidis A, Bhaduri B, Chandola V. Preface to the eighth international workshop on spatial and spatio-temporal data mining Proceedings - Ieee 13th International Conference On Data Mining Workshops, Icdmw 2013. lxii-lxiii. DOI: 10.1109/ICDMW.2013.187  0.399
2012 Vatsavai RR, Chandola V, Klasky S, Ganguly A, Stefanidis A, Shekhar S. Spatiotemporal data mining in the era of big spatial data: Algorithms and applications Proceedings of the 1st Acm Sigspatial International Workshop On Analytics For Big Geospatial Data, Bigspatial 2012. 1: 1-10. DOI: 10.1145/2447481.2447482  0.432
2012 Vatsavai RR. Modeling spatial dependencies and semantic concepts in data mining Acm International Conference Proceeding Series. DOI: 10.1145/2345316.2345369  0.428
2012 Graesser J, Cheriyadat A, Vatsavai RR, Chandola V, Long J, Bright E. Image based characterization of formal and informal neighborhoods in an urban landscape Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5: 1164-1176. DOI: 10.1109/JSTARS.2012.2190383  0.373
2012 Shekar S, Agouris P, Vatsavai RR, Kuijpers B, Mirco N, Malerba D, Stefanidis A. Preface: International workshop on spatial and spatiotemporal data mining Proceedings - 12th Ieee International Conference On Data Mining Workshops, Icdmw 2012. liv-lv. DOI: 10.1109/ICDMW.2012.159  0.416
2011 Vatsavai RR. High-resolution urban image classification using extended features Proceedings - Ieee International Conference On Data Mining, Icdm. 869-876. DOI: 10.1109/ICDMW.2011.92  0.327
2011 Hoffman FM, Larson JW, Mills RT, Brooks BGJ, Ganguly AR, Hargrove WW, Huang J, Kumar J, Vatsavai RR. Data mining in earth system science (DMESS 2011) Procedia Computer Science. 4: 1450-1455. DOI: 10.1016/j.procs.2011.04.157  0.303
2010 Vatsavai RR, Chawla S, Duckham M, Shekhar S, Agouris P. Preface to the 5th international workshop on Spatial and Spatio-Temporal Data Mining (SSTDM-10: http://www.ornl.gov/sci/ knowledgediscovery/sstdm-10/) Proceedings - Ieee International Conference On Data Mining, Icdm. xxxi. DOI: 10.1109/ICDMW.2010.211  0.347
2010 Vatsavai RR, Cheriyadat A, Gleason S. Unsupervised semantic labeling framework for identification of complex facilities in high-resolution remote sensing images Proceedings - Ieee International Conference On Data Mining, Icdm. 273-280. DOI: 10.1109/ICDMW.2010.151  0.329
2010 Chandola V, Hui D, Gu L, Bhaduri B, Vatsavai RR. Using time series segmentation for deriving vegetation phenology indices from MODIS NDVI data Proceedings - Ieee International Conference On Data Mining, Icdm. 202-208. DOI: 10.1109/ICDMW.2010.143  0.366
2010 Cheriyadat AM, Vatsavai RR, Bright EA. Modeling spatial dependencies in high-resolution overhead imagery Proceedings - Applied Imagery Pattern Recognition Workshop. DOI: 10.1109/AIPR.2010.5759714  0.469
2010 Vatsavai RR, Cheriyadat A, Gleason S. Supervised semantic classification for nuclear proliferation monitoring Proceedings - Applied Imagery Pattern Recognition Workshop. DOI: 10.1109/AIPR.2010.5759712  0.323
2009 Jun G, Vatsavai RR, Ghosh J. Spatially adaptive classification and active learning of multispectral data with gaussian processes Icdm Workshops 2009 - Ieee International Conference On Data Mining. 597-603. DOI: 10.1109/ICDMW.2009.107  0.395
2008 Vatsavai RR, Shekhar S, Burk TE, Bhaduri B. *Miner: A spatial and spatiotemporal data mining system Gis: Proceedings of the Acm International Symposium On Advances in Geographic Information Systems. 531-532. DOI: 10.1145/1463434.1463532  0.408
2008 Vatsavai RR, Shekhar S, Burk TE, Bhaduri B. Miner: A suit of classifiers for spatial, temporal, ancillary, and remote sensing data mining Proceedings - International Conference On Information Technology: New Generations, Itng 2008. 801-806. DOI: 10.1109/ITNG.2008.243  0.454
2008 Vatsavai RR, Badhuri B, Shekhar S, Burk TE. Multisource data classification using a hybrid semi-supervised learning scheme International Geoscience and Remote Sensing Symposium (Igarss). 3. DOI: 10.1109/IGARSS.2008.4779525  0.525
2008 Shekhar S, Vatsavai RR. Object-Oriented Database Management Systems The Handbook of Geographic Information Science. 111-143. DOI: 10.1002/9780470690819.ch7  0.402
2007 Vatsavai RR, Bhaduri B. A hybrid classification scheme for mining multisource geospatial data Proceedings - Ieee International Conference On Data Mining, Icdm. 673-678. DOI: 10.1109/ICDMW.2007.96  0.371
2007 Vatsavai RR, Shekhar S, Burk TE. An efficient spatial semi-supervised learning algorithm International Journal of Parallel, Emergent and Distributed Systems. 22: 427-437. DOI: 10.1080/17445760701207546  0.577
2004 Kazar BM, Shekhar S, Lilja DJ, Vatsavai RR, Kelley Pace R. Comparing exact and approximate spatial auto-regression model solutions for spatial data analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3234: 140-161.  0.512
2002 Shekhar S, Schrater PR, Vatsavai RR, Wu W, Chawla S. Spatial contextual classification and prediction models for mining geospatial data Ieee Transactions On Multimedia. 4: 174-188. DOI: 10.1109/Tmm.2002.1017732  0.661
2001 Vatsavai RR, Burk TE, Shekhar S, Hansen MH. An efficient query strategy for integrated remote sensing and inventory (Spatial) databases Proceedings of the International Conference On Scientific and Statistical Database Management, Ssdbm. 115-123.  0.557
2000 Vatsavai RR, Burk TE, Wilson BT, Shekhar S. A web-based browsing and spatial analysis system for regional natural resource analysis and mapping Proceedings of the Acm Workshop On Advances in Geographic Information Systems. 95-101.  0.514
1999 Shekhar S, Vatsavai RR, Chawla S, Burk TE. Spatial pictogram enhanced conceptual data models and their translation to logical data models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1737: 77-104. DOI: 10.1007/3-540-46621-5_6  0.639
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