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ORCIDRanga Raju Vatsavai
Ranga Raju Vatsavaiy
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- affiliation: North Carolina State University, Raleigh, NC, USA
- affiliation (former): Oak Ridge National Laboratory
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Journal Articles
- 2023
[j27]Krishna Karthik Gadiraju
, Ranga Raju Vatsavai:
Remote Sensing Based Crop Type Classification Via Deep Transfer Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4699-4712 (2023)- 2022
- [j26]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) - [j25]Ashwin Shashidharan, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Varun Chandola:
The 10th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2022). ACM SIGSPATIAL Special 14(1): 43-44 (2022) - 2021
- [j24]Bharathkumar Ramachandra, Michael Jones, Ranga Raju Vatsavai:
Perceptual metric learning for video anomaly detection. Mach. Vis. Appl. 32(3): 63 (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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 2008
- [j3]Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly:
Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. 10(2): 68-73 (2008) - 2007
- [j2]Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk:
An efficient spatial semi-supervised learning algorithm. Int. J. Parallel Emergent Distributed Syst. 22(6): 427-437 (2007) - 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 Trans. Multim. 4(2): 174-188 (2002)
Conference and Workshop Papers
- 2024
- [c96]Xian Yang, Ranga Raju Vatsavai:
Multi-spectral Gradient Residual Network for Haze Removal in Multi-sensor Remote Sensing Imagery. ECML/PKDD (10) 2024: 413-428 - 2023
- [c95]Zhuocheng Mei, Ranga Raju Vatsavai, Rada Chirkova:
Q-learning Based Simulation Tool for Studying Effectiveness of Dynamic Application of Fertilizer on Crop Productivity. BigSpatial@SIGSPATIAL 2023: 13-22 - [c94]Junfeng Liu, Zhuocheng Mei, Kewen Peng, Ranga Raju Vatsavai:
Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent. ICDM (Workshops) 2023: 1543-1550 - [c93]Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai:
Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring. ICTAI 2023: 250-257 - [c92]Sai Venkata Vinay Kumar Samudrala, Yifan Zhao, Ranga Raju Vatsavai:
Novel Deep Learning Framework for Imputing Holes in Orthorectified VHR Images. IGARSS 2023: 5158-5161 - [c91]Yifan Zhao, Xian Yang, Ranga Raju Vatsavai:
Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer. ECML/PKDD (7) 2023: 37-53 - [c90]Xian Yang, Yifan Zhao, Ranga Raju Vatsavai:
Harmonization-guided deep residual network for imputing under clouds with multi-sensor satellite imagery. SSTD 2023: 151-160 - 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 - 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 - 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 - 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 - 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 - 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 - 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 R. 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 - 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 - 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 - 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 - 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 - 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, Jay 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
- [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 B. 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 - 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 - 2008
- [c20]Veeraraghavan Vijayaraj, Anil M. 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 - 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
- [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 - 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
Parts in Books or Collections
- 2012
- [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 - 2008
- [p2]Shashi Shekhar, Ranga Raju Vatsavai, Mete Celik:
Spatial and Spatiotemporal Data Mining. Next Generation of Data Mining 2008 - 2004
- [p1]Shashi Shekhar, Ranga Raju Vatsavai, Xiaobin Ma, Jin Soung Yoo:
Navigation Systems: A Spatial Database Perspective. Location-Based Services 2004: 41-82
Editorship
- 2023
- [e14]Ashwin Shashidharan, Martin Werner, Krishna Karthik Gadiraju, Varun Chandola, Ranga Raju Vatsavai:
Proceedings of the 11th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - 2022
- [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] - 2020
- [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] - 2019
- [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] - 2018
- [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] - 2017
- [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] - 2016
- [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
- [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
- [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
- [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
- [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] - 2010
- [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] - 2009
- [e1]Olufemi A. Omitaomu, Auroop R. Ganguly, João Gama, Ranga Raju Vatsavai, Nitesh V. Chawla, Mohamed Medhat Gaber:
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 [contents]
Reference Works
- 2017
- [r2]Ranga Raju Vatsavai, Thomas E. Burk, Stephen Lime:
University of Minnesota (UMN) Map Server. Encyclopedia of GIS 2017: 2365-2375 - 2008
- [r1]Ranga Raju Vatsavai, Thomas E. Burk, Stephen Lime:
University of Minnesota (UMN) Map Server. Encyclopedia of GIS 2008: 1197-1205
Informal and Other Publications
- 2023
- [i10]Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai:
Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring. CoRR abs/2309.16770 (2023) - [i9]Junfeng Liu, Zhuocheng Mei, Kewen Peng, Ranga Raju Vatsavai:
Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent. CoRR abs/2312.00774 (2023) - 2022
- [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
- [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
- [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) - 2019
- [i2]Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai:
Estimating a Manifold from a Tangent Bundle Learner. CoRR abs/1906.07661 (2019) - 2018
- [i1]Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai:
Relational Long Short-Term Memory for Video Action Recognition. CoRR abs/1811.07059 (2018)
Coauthor Index
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