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 |
|
Show low-probability matches. |