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Ranga Raju Vatsavai
Ranga Raju Vatsavaiy
Person information

- affiliation: North Carolina State University, Raleigh, NC, USA
- affiliation (former): Oak Ridge National Laboratory
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2020 – today
- 2022
- [j25]Bharathkumar Ramachandra
, Michael J. Jones
, Ranga Raju Vatsavai
:
A Survey of Single-Scene Video Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2293-2312 (2022) - [c89]Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai:
Persona-Based Conversational AI: State of the Art and Challenges. ICDM (Workshops) 2022: 993-1001 - [c88]Yifan Zhao, Xian Yang, Ranga Raju Vatsavai:
Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery. ICMLA 2022: 97-104 - [c87]Krishna Karthik Gadiraju, Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai:
Real-Time Change Detection At the Edge. ICMLA 2022: 776-781 - [c86]Xian Yang, Yifan Zhao, Ranga Raju Vatsavai
:
Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery. ICPR 2022: 643-649 - [e13]Ashwin Shashidharan, Krishna Karthik Gadiraju, Varun Chandola, Ranga Raju Vatsavai:
Proceedings of the 10th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial 2022, Seattle, Washington, 1 November 2022. ACM 2022, ISBN 978-1-4503-9531-1 [contents] - [i8]Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai:
Persona-Based Conversational AI: State of the Art and Challenges. CoRR abs/2212.03699 (2022) - 2021
- [j24]Bharathkumar Ramachandra, Michael Jones
, Ranga Raju Vatsavai
:
Perceptual metric learning for video anomaly detection. Mach. Vis. Appl. 32(3): 63 (2021) - [c85]Yifan Zhao, Xian Yang, Ranga Raju Vatsavai
:
A Scalable System for Searching Large-scale Multi-sensor Remote Sensing Image Collections. IEEE BigData 2021: 3780-3783 - [c84]Anton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster:
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks. ICDM (Workshops) 2021: 742-749 - [i7]Anton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster:
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks. CoRR abs/2112.13141 (2021) - 2020
- [j23]Ashwin Shashidharan, Varun Chandola, Ranga Raju Vatsavai:
The 9th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2020): November 3, 2020. ACM SIGSPATIAL Special 12(3): 15-16 (2020) - [c83]Krishna Karthik Gadiraju, Ranga Raju Vatsavai:
Comparative analysis of deep transfer learning performance on crop classification. BigSpatial@SIGSPATIAL 2020: 1:1-1:8 - [c82]Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu
, Ranga Raju Vatsavai
:
Local Clustering with Mean Teacher for Semi-supervised learning. ICPR 2020: 6243-6250 - [c81]Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Zexi Chen, Ranga Raju Vatsavai:
Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery. KDD 2020: 3234-3242 - [c80]Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai:
Learning a distance function with a Siamese network to localize anomalies in videos. WACV 2020: 2587-2596 - [e12]Varun Chandola, Ranga Raju Vatsavai, Ashwin Shashidharan:
BIGSPATIAL '20: Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2020, Seattle, WA, USA, November 3, 2020. ACM 2020, ISBN 978-1-4503-8162-8 [contents] - [i6]Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai:
Learning a distance function with a Siamese network to localize anomalies in videos. CoRR abs/2001.09189 (2020) - [i5]Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai:
A Survey of Single-Scene Video Anomaly Detection. CoRR abs/2004.05993 (2020) - [i4]Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai:
Local Clustering with Mean Teacher for Semi-supervised Learning. CoRR abs/2004.09665 (2020) - [i3]Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai:
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification. CoRR abs/2007.03844 (2020)
2010 – 2019
- 2019
- [j22]Bharathkumar Ramachandra
, Benjamin Dutton, Ranga Raju Vatsavai
:
Anomalous cluster detection in spatiotemporal meteorological fields. Stat. Anal. Data Min. 12(2): 88-100 (2019) - [j21]Ashwin Shashidharan, Varun Chandola, Ranga Raju Vatsavai:
The Eighth ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data: Chicago, IL, USA - November 5, 2019. ACM SIGSPATIAL Special 11(3): 38-39 (2019) - [c79]Ranga Raju Vatsavai, Bharathkumar Ramachandra, Zexi Chen, John Jernigan:
geoEdge: a real-time analytics framework for geospatial applications. BigSpatial@SIGSPATIAL 2019: 2:1-2:4 - [c78]Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai:
Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition. ICDM Workshops 2019: 573-580 - [c77]Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ashwin Shashidharan, Benjamin Dutton, Ranga Raju Vatsavai:
Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes. ICMLA 2019: 485-488 - [c76]Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai:
Classification Performance Evaluation of Deep Learning Architectures for Complex Object Based Facility Recognition. IGARSS 2019: 3057-3060 - [c75]Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Jaime Puente:
Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors. IGARSS 2019: 3732-3735 - [e11]Varun Chandola, Ranga Raju Vatsavai, Ashwin Shashidharan:
Proceedings of the 8th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2019, Chicago, IL, USA, November 5th, 2019. ACM 2019, ISBN 978-1-4503-6966-4 [contents] - [i2]Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai:
Estimating a Manifold from a Tangent Bundle Learner. CoRR abs/1906.07661 (2019) - 2018
- [j20]Varun Chandola, Ranga Raju Vatsavai:
The seventh ACM SIGSPATIAL international workshop on analysis for big spatial data seattle, wa, USA - November 6, 2018. ACM SIGSPATIAL Special 10(3): 12-13 (2018) - [c74]Nathan Pool
, Ranga Raju Vatsavai
:
Deformable Part Models for Complex Object Detection in Remote Sensing Imagery. BigSpatial@SIGSPATIAL 2018: 57-62 - [c73]Ashwin Shashidharan, Ranga Raju Vatsavai
, Ross K. Meentemeyer
:
FUTURES-DPE: towards dynamic provisioning and execution of geosimulations in HPC environments. SIGSPATIAL/GIS 2018: 464-467 - [c72]Ashwin Shashidharan, Ranga Raju Vatsavai, Derek B. van Berkel
, Ross K. Meentemeyer:
FUTURES-AMR: Towards an Adaptive Mesh Refinement Framework for Geosimulations. GIScience 2018: 16:1-16:15 - [c71]Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Nikhil Kaza, Eric Wibbels, Anirudh Krishna:
Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images. ICDM Workshops 2018: 1397-1404 - [e10]Varun Chandola, Ranga Raju Vatsavai:
Proceedings of the 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018. ACM 2018, ISBN 978-1-4503-6041-8 [contents] - [i1]Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai:
Relational Long Short-Term Memory for Video Action Recognition. CoRR abs/1811.07059 (2018) - 2017
- [j19]Yupeng Yan, Manu Sethi, Anand Rangarajan, Ranga Raju Vatsavai, Sanjay Ranka:
Graph-based semi-supervised classification on very high resolution remote sensing images. Int. J. Big Data Intell. 4(2): 108-122 (2017) - [j18]Varun Chandola, Ranga Raju Vatsavai:
The Sixth ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data: Redondo Beach, CA, USA - November 7, 2017. ACM SIGSPATIAL Special 9(3): 20-21 (2017) - [j17]Kuldeep R. Kurte
, Surya S. Durbha
, Roger L. King, Nicolas H. Younan, Ranga Raju Vatsavai
:
Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(1): 29-44 (2017) - [c70]Sushil K. Prasad
, Danial Aghajarian, Michael McDermott, Dhara Shah, Mohamed F. Mokbel, Satish Puri
, Sergio J. Rey, Shashi Shekhar, Yiqun Xe, Ranga Raju Vatsavai
, Fusheng Wang
, Yanhui Liang, Hoang Vo, Shaowen Wang:
Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap. BigData Congress 2017: 232-250 - [c69]Ashwin Shashidharan, Ranga Raju Vatsavai, Abhinav Ashish, Ross K. Meentemeyer:
tFUTURES: Computational Steering for Geosimulations. SIGSPATIAL/GIS 2017: 27:1-27:10 - [c68]Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai
:
Hierarchical change detection framework for biomass monitoring. IGARSS 2017: 620-623 - [c67]Clayton Connors, Ranga Raju Vatsavai
:
Semi-supervised deep generative models for change detection in very high resolution imagery. IGARSS 2017: 1063-1066 - [c66]David C. Thompson
, Sébastien Jourdain
, Andrew C. Bauer, Berk Geveci, Robert Maynard, Ranga Raju Vatsavai, Patrick O'Leary:
In Situ Summarization with VTK-m. ISAV@SC 2017: 32-36 - [e9]Varun Chandola, Ranga Raju Vatsavai:
Proceedings of the 6th ACM SIGSPATIAL Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2017, Redondo Beach, CA, USA, November 7, 2017. ACM 2017, ISBN 978-1-4503-5494-3 [contents] - [r2]Ranga Raju Vatsavai, Thomas E. Burk, Stephen Lime:
University of Minnesota (UMN) Map Server. Encyclopedia of GIS 2017: 2365-2375 - 2016
- [j16]Ranga Raju Vatsavai
, Varun Chandola:
Guest editorial: big spatial data. GeoInformatica 20(4): 797-799 (2016) - [j15]Naoki Abe, Yiqun Xie, Shashi Shekhar, Chid Apté, Vipin Kumar, Mitch Tuinstra, Ranga Raju Vatsavai:
Data Science for Food, Energy and Water: A Workshop Report. SIGKDD Explor. 18(2): 1-4 (2016) - [c65]Seokyong Hong, Ranga Raju Vatsavai
:
A Scalable Probabilistic Change Detection Algorithm for Very High Resolution (VHR) Satellite Imagery. BigData Congress 2016: 275-282 - [c64]Zexi Chen, Ranga Raju Vatsavai
, Bharathkumar Ramachandra, Qiang Zhang, Nagendra Singh, Sreenivas Sukumar:
Scalable nearest neighbor based hierarchical change detection framework for crop monitoring. IEEE BigData 2016: 1309-1314 - [c63]Qiang Zhang, Ranga Raju Vatsavai, Ashwin Shashidharan, Derek B. van Berkel
:
Agent based urban growth modeling framework on Apache Spark. BigSpatial@SIGSPATIAL 2016: 50-59 - [c62]Ashwin Shashidharan, Derek B. van Berkel
, Ranga Raju Vatsavai
, Ross K. Meentemeyer
:
pFUTURES: A Parallel Framework for Cellular Automaton Based Urban Growth Models. GIScience 2016: 163-177 - [c61]Seokyong Hong, Sangkeun Lee, Seung-Hwan Lim, Sreenivas R. Sukumar, Ranga Raju Vatsavai:
Evaluation of Pattern Matching Workloads in Graph Analysis Systems. HPDC 2016: 263-266 - [c60]Seokyong Hong, Ranga Raju Vatsavai
:
Sliding Window-based Probabilistic Change Detection for Remote-sensed Images. ICCS 2016: 2348-2352 - [c59]Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Dale P. Kaiser, Thomas P. Karnowski:
Detecting Extreme Events in Gridded Climate Data. ICCS 2016: 2397-2401 - [e8]Varun Chandola, Ranga Raju Vatsavai:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2016, Burlingame, California, USA, October 31, 2016. ACM 2016, ISBN 978-1-4503-4581-1 [contents] - 2015
- [j14]Varun Chandola, Ranga Raju Vatsavai:
The Third ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data Dallas, Texas, USA - November 4, 2014. ACM SIGSPATIAL Special 7(2): 44 (2015) - [c58]Ranga Raju Vatsavai
:
A Scalable Complex Pattern Mining Framework for Global Settlement Mapping. BigData Congress 2015: 514-521 - [c57]Manu Sethi, Yupeng Yan, Anand Rangarajan, Ranga Raju Vatsavai, Sanjay Ranka
:
Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery. KDD 2015: 2069-2078 - [c56]Ranga Raju Vatsavai
:
Multitemporal data mining: From biomass monitoring to nuclear proliferation detection. MultiTemp 2015: 1-4 - [e7]Varun Chandola, Ranga Raju Vatsavai:
Proceedings of the 4th International ACM SIGSPATIAL Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2015, Bellevue, WA, USA, November 3-6, 2015. ACM 2015, ISBN 978-1-4503-3974-2 [contents] - 2014
- [j13]Varun Chandola, Ranga Raju Vatsavai:
BigSpatial-2013 workshop report: 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2013): Nov 5, 2013, Orlando, Florida, USA. ACM SIGSPATIAL Special 6(1): 18-19 (2014) - [j12]Budhendra L. Bhaduri, Dilip R. Patlolla, Ranga Raju Vatsavai, Anil M. Cheriyadat, Wei Lu, Rajasekar Karthik:
Emerging trends in monitoring landscapes and energy infrastructures with big spatial data. ACM SIGSPATIAL Special 6(3): 35-45 (2014) - [c55]Manu Sethi, Yupeng Yan, Anand Rangarajan, Ranga Raju Vatsavaiy, Sanjay Ranka
:
An efficient computational framework for labeling large scale spatiotemporal remote sensing datasets. IC3 2014: 635-640 - [e6]Varun Chandola, Ranga Raju Vatsavai:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2014, Dallas, Texas, USA, November 4, 2014. ACM 2014, ISBN 978-1-4503-3132-6 [contents] - 2013
- [c54]Ranga Raju Vatsavai:
Object based image classification: state of the art and computational challenges. BigSpatial@SIGSPATIAL 2013: 73-80 - [c53]Karthik Ganesan Pillai, Ranga Raju Vatsavai:
Multi-sensor Remote Sensing Image Change Detection: An Evaluation of Similarity Measures. ICDM Workshops 2013: 1053-1060 - [c52]Ranga Raju Vatsavai:
Gaussian multiple instance learning approach for mapping the slums of the world using very high resolution imagery. KDD 2013: 1419-1426 - [e5]Varun Chandola, Ranga Raju Vatsavai:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2013, Nov 4th, 2013, Orlando, FL, USA. ACM 2013, ISBN 978-1-4503-2534-9 [contents] - 2012
- [j11]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). ACM SIGSPATIAL Special 4(1): 6-7 (2012) - [j10]Jordan Graesser, Anil M. Cheriyadat, Ranga Raju Vatsavai, Varun Chandola, Jordan Long, Eddie A. Bright:
Image Based Characterization of Formal and Informal Neighborhoods in an Urban Landscape. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(4): 1164-1176 (2012) - [c51]Ranga Raju Vatsavai:
A machine learning system for recognizing subclasses. COM.Geo 2012: 32 - [c50]Ranga Raju Vatsavai:
Modeling spatial dependencies and semantic concepts in data mining. COM.Geo 2012: 46 - [c49]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 - [c48]Ranga Raju Vatsavai:
Rapid Damage eXplorer (RDX): A Probabilistic Framework for Learning Changes from Bitemporal Images. ICDM Workshops 2012: 906-909 - [c47]Ranga Raju Vatsavai:
A Data Mining Framework for Monitoring Nuclear Facilities. ICDM Workshops 2012: 917 - [c46]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 - [c45]Ranga Raju Vatsavai:
Scalable Multi-Instance Learning Approach for Mapping the Slums of the World. SC Companion 2012: 833-837 - [c44]Ranga Raju Vatsavai
, Jordan Graesser:
Probabilistic Change Detection Framework for Analyzing Settlement Dynamics Using Very High-resolution Satellite Imagery. ICCS 2012: 907-916 - [p3]Ranga Raju Vatsavai, Thomas E. Burk, Stephen Lime, Marco Hugentobler, Andreas Neumann, Christian Strobl:
Open-Source GIS. Springer Handbook of Geographic Information 2012: 579-595 - [e4]Varun Chandola, Ranga Raju Vatsavai, Chetan Gupta:
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2012, Redondo Beach, CA, USA, November 6, 2012. ACM 2012, ISBN 978-1-4503-1692-7 [contents] - 2011
- [j9]Ranga Raju Vatsavai
, Budhendra L. Bhaduri:
A hybrid classification scheme for mining multisource geospatial data. GeoInformatica 15(1): 29-47 (2011) - [j8]Varun Chandola, Ranga Raju Vatsavai
:
A scalable gaussian process analysis algorithm for biomass monitoring. Stat. Anal. Data Min. 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). ACM SIGSPATIAL Special 3(1): 8-9 (2011) - [c43]Ranga Raju Vatsavai, Eddie A. Bright, Varun Chandola, Budhendra L. Bhaduri, Anil M. Cheriyadat, Jordan Graesser:
Machine learning approaches for high-resolution urban land cover classification: a comparative study. COM.Geo 2011: 11:1-11:10 - [c42]Varun Chandola, Ranga Raju Vatsavai, Budhendra L. Bhaduri:
iGlobe: an interactive visualization and analysis framework for geospatial data. COM.Geo 2011: 21:1-21:6 - [c41]Ranga Raju Vatsavai:
High-Resolution Urban Image Classification Using Extended Features. ICDM Workshops 2011: 869-876 - [c40]Ranga Raju Vatsavai, Mark A. Tuttle, Budhendra L. Bhaduri, Edward Bright, Anil M. Cheriyadat, Varun Chandola, Jordan Graesser:
Rapid damage assessment using high-resolution remote sensing imagery: Tools and techniques. IGARSS 2011: 1445-1448 - [c39]Randy S. Roberts, Paul A. Pope, Ranga Raju Vatsavai, Ming Jiang, Lloyd F. Arrowood, Timothy G. Trucano, Shaun S. Gleason, Anil M. 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 - [c38]Shaun S. Gleason, Mesfin Dema, Hamed Sari-Sarraf, Anil M. 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 - [c37]Varun Chandola, Ranga Raju Vatsavai:
Implementing a gaussian process learning algorithm in mixed parallel environment. ScalA@SC 2011: 3-6 - [c36]Varun Chandola, Ranga Raju Vatsavai:
A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time Series. SDM 2011: 95-106 - [c35]Ranga Raju Vatsavai
, Christopher T. Symons, Varun Chandola, Goo Jun
:
GX-Means: A model-based divide and merge algorithm for geospatial image clustering. ICCS 2011: 186-195 - [c34]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 - 2010
- [j6]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 Explor. 12(2): 50-53 (2010) - [c33]Anil M. Cheriyadat, Ranga Raju Vatsavai, Eddie A. Bright:
Modeling spatial dependencies in high-resolution overhead imagery. AIPR 2010: 1-5 - [c32]Ranga Raju Vatsavai, Anil M. Cheriyadat, Shaun S. Gleason:
Supervised semantic classification for nuclear proliferation monitoring. AIPR 2010: 1-10 - [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 M. 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 M. Cheriyadat, Lloyd F. Arrowood, Eddie A. Bright, Shaun S. Gleason, Carl Diegert, Aggelos K. Katsaggelos
, Thrasos N. 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 M. 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:
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 [contents] - [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
- [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, João Gama
, Mohamed Medhat Gaber:
Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. 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]