Ranga Raju Vatsavai

162 papers A* 3A 3B 10C 13Misc 5Journal 38Unranked 71

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CoMAC: Conversational Agent for Multi-Source Auxiliary Context with Sparse and Symmetric Latent Interactions. CoRR Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai
2025	—	`conf`	CoMAC: Conversational Agent for Multi-source Auxiliary Context with Sparse and Symmetric Latent Interactions. PAKDD (5) Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai
2025	B	`conf`	Comparative Evaluation of Deep Learning Models for Large-Scale Deforestation Mapping. IEEE Big Data Keyu Wan, Ranga Raju Vatsavai
2025	—	`conf`	Efficient Multi-Domain Instance Segmentation with Modular Shared-Head Routing. ICDM (Workshops) Rohit Sriram, Ranga Raju Vatsavai
2025	—	`conf`	Enhancing LLM Dialogue with Graph-Based Context, Style, and Sentiment Integration. ICDM (Workshops) Mayur Prakash Gotmare, Ranga Raju Vatsavai
2025	—	`conf`	Foundation Models for Semantic Segmentation of Thick/Thin Clouds and Cloud-shadows: A Comparative Study. SIGSPATIAL/GIS Calvin Nguyen, Ranga Raju Vatsavai
2025	—	`conf`	KG-F: A Knowledge Graph Framework for Fertilizer Recommendation. CODS Nahed Abu Zaid, Jaya Shruti Chintalapati, Mihir Hemal Shah, Rada Chirkova, Ranga Raju Vatsavai
2025	B	`conf`	SR-GFEA: A Super-Resolution Algorithm with Geometric Feature Extraction and Alignment. IEEE Big Data Rishabh Jain, Ranga Raju Vatsavai
2025	—	`conf`	U-Prithvi: Integrating a Foundation Model and U-Net for Enhanced Flood Inundation Mapping. GIScience Vit Kostejn, Yamil Essus, Jenna Abrahamson, Ranga Raju Vatsavai
2024	—	`conf`	A Deep Learning Based Cloud Imputation Framework. ICDM (Workshops) Harshitaa Yarramsetti, Kritika Javali, Mukund Logasundar, Richard Li, Ranga Raju Vatsavai
2024	B	`conf`	Deep Super Resolution Techniques for Remote Sensing Big Data: A Comparative Study. IEEE Big Data Rishabh Jain, Ranga Raju Vatsavai
2024	—	`conf`	Multi-spectral Gradient Residual Network for Haze Removal in Multi-sensor Remote Sensing Imagery. ECML/PKDD (10) Xian Yang, Ranga Raju Vatsavai
2023	—	`conf`	Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer. ECML/PKDD (7) Yifan Zhao, Xian Yang, Ranga Raju Vatsavai
2023	—	`conf`	Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent. ICDM (Workshops) Junfeng Liu, Zhuocheng Mei, Kewen Peng, Ranga Raju Vatsavai
2023	J	`jnl`	Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent. CoRR Junfeng Liu, Zhuocheng Mei, Kewen Peng, Ranga Raju Vatsavai
2023	B	`conf`	Harmonization-guided deep residual network for imputing under clouds with multi-sensor satellite imagery. SSTD Xian Yang, Yifan Zhao, Ranga Raju Vatsavai
2023	C	`conf`	Novel Deep Learning Framework for Imputing Holes in Orthorectified VHR Images. IGARSS Sai Venkata Vinay Kumar Samudrala, Yifan Zhao, Ranga Raju Vatsavai
2023	B	`conf`	Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring. ICTAI Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai
2023	J	`jnl`	Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring. CoRR Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai
2023	—	`ed.`	Proceedings of the 11th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial 2023, Hamburg, Germany, 13 November 2023 BigSpatial@SIGSPATIAL Ashwin Shashidharan, Martin Werner, Krishna Karthik Gadiraju, Varun Chandola, Ranga Raju Vatsavai
2023	—	`conf`	Q-learning Based Simulation Tool for Studying Effectiveness of Dynamic Application of Fertilizer on Crop Productivity. BigSpatial@SIGSPATIAL Zhuocheng Mei, Ranga Raju Vatsavai, Rada Chirkova
2023	J	`jnl`	Remote Sensing Based Crop Type Classification Via Deep Transfer Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Krishna Karthik Gadiraju, Ranga Raju Vatsavai
2022	J	`jnl`	A Survey of Single-Scene Video Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
2022	B	`conf`	Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery. ICPR Xian Yang, Yifan Zhao, Ranga Raju Vatsavai
2022	C	`conf`	Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery. ICMLA Yifan Zhao, Xian Yang, Ranga Raju Vatsavai
2022	—	`conf`	Persona-Based Conversational AI: State of the Art and Challenges. ICDM (Workshops) Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai
2022	J	`jnl`	Persona-Based Conversational AI: State of the Art and Challenges. CoRR Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai
2022	—	`ed.`	Proceedings of the 10th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial 2022, Seattle, Washington, 1 November 2022 BigSpatial@SIGSPATIAL Ashwin Shashidharan, Krishna Karthik Gadiraju, Varun Chandola, Ranga Raju Vatsavai
2022	C	`conf`	Real-Time Change Detection At the Edge. ICMLA Krishna Karthik Gadiraju, Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai
2022	J	`jnl`	The 10th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2022). ACM SIGSPATIAL Special Ashwin Shashidharan, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Varun Chandola
2021	—	`conf`	A Scalable System for Searching Large-scale Multi-sensor Remote Sensing Image Collections. IEEE BigData Yifan Zhao, Xian Yang, Ranga Raju Vatsavai
2021	—	`conf`	On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks. ICDM (Workshops) Anton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster
2021	J	`jnl`	On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks. CoRR Anton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster
2021	J	`jnl`	Perceptual metric learning for video anomaly detection. Mach. Vis. Appl. Bharathkumar Ramachandra, Michael Jones, Ranga Raju Vatsavai
2020	J	`jnl`	A Survey of Single-Scene Video Anomaly Detection. CoRR Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
2020	—	`ed.`	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 BigSpatial@SIGSPATIAL Varun Chandola, Ranga Raju Vatsavai, Ashwin Shashidharan
2020	—	`conf`	Comparative analysis of deep transfer learning performance on crop classification. BigSpatial@SIGSPATIAL Krishna Karthik Gadiraju, Ranga Raju Vatsavai
2020	J	`jnl`	Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification. CoRR Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai
2020	A	`conf`	Learning a distance function with a Siamese network to localize anomalies in videos. WACV Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
2020	J	`jnl`	Learning a distance function with a Siamese network to localize anomalies in videos. CoRR Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
2020	J	`jnl`	Local Clustering with Mean Teacher for Semi-supervised Learning. CoRR Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
2020	B	`conf`	Local Clustering with Mean Teacher for Semi-supervised learning. ICPR Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
2020	A*	`conf`	Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery. KDD Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Zexi Chen, Ranga Raju Vatsavai
2020	J	`jnl`	The 9th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2020): November 3, 2020. ACM SIGSPATIAL Special Ashwin Shashidharan, Varun Chandola, Ranga Raju Vatsavai
2019	J	`jnl`	Anomalous cluster detection in spatiotemporal meteorological fields. Stat. Anal. Data Min. Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai
2019	C	`conf`	Classification Performance Evaluation of Deep Learning Architectures for Complex Object Based Facility Recognition. IGARSS Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai
2019	J	`jnl`	Estimating a Manifold from a Tangent Bundle Learner. CoRR Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai
2019	—	`conf`	Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition. ICDM Workshops Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai
2019	—	`ed.`	Proceedings of the 8th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2019, Chicago, IL, USA, November 5th, 2019. BigSpatial@SIGSPATIAL Varun Chandola, Ranga Raju Vatsavai, Ashwin Shashidharan
2019	C	`conf`	Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes. ICMLA Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ashwin Shashidharan, Benjamin Dutton, Ranga Raju Vatsavai
2019	C	`conf`	Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors. IGARSS Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Jaime Puente
2019	J	`jnl`	The Eighth ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data: Chicago, IL, USA - November 5, 2019. ACM SIGSPATIAL Special Ashwin Shashidharan, Varun Chandola, Ranga Raju Vatsavai
2019	—	`conf`	geoEdge: a real-time analytics framework for geospatial applications. BigSpatial@SIGSPATIAL Ranga Raju Vatsavai, Bharathkumar Ramachandra, Zexi Chen, John Jernigan
2018	—	`conf`	Deformable Part Models for Complex Object Detection in Remote Sensing Imagery. BigSpatial@SIGSPATIAL Nathan Pool, Ranga Raju Vatsavai
2018	—	`conf`	FUTURES-AMR: Towards an Adaptive Mesh Refinement Framework for Geosimulations. GIScience Ashwin Shashidharan, Ranga Raju Vatsavai, Derek B. van Berkel, Ross K. Meentemeyer
2018	—	`conf`	FUTURES-DPE: towards dynamic provisioning and execution of geosimulations in HPC environments. SIGSPATIAL/GIS Ashwin Shashidharan, Ranga Raju Vatsavai, Ross K. Meentemeyer
2018	—	`conf`	Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images. ICDM Workshops Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Nikhil Kaza, Eric Wibbels, Anirudh Krishna
2018	—	`ed.`	Proceedings of the 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018 BigSpatial@SIGSPATIAL Varun Chandola, Ranga Raju Vatsavai
2018	J	`jnl`	Relational Long Short-Term Memory for Video Action Recognition. CoRR Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
2018	J	`jnl`	The seventh ACM SIGSPATIAL international workshop on analysis for big spatial data seattle, wa, USA - November 6, 2018. ACM SIGSPATIAL Special Varun Chandola, Ranga Raju Vatsavai
2017	J	`jnl`	Graph-based semi-supervised classification on very high resolution remote sensing images. Int. J. Big Data Intell. Yupeng Yan, Manu Sethi, Anand Rangarajan, Ranga Raju Vatsavai, Sanjay Ranka
2017	C	`conf`	Hierarchical change detection framework for biomass monitoring. IGARSS Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai
2017	—	`conf`	In Situ Summarization with VTK-m. ISAV@SC David C. Thompson, Sébastien Jourdain, Andrew C. Bauer, Berk Geveci, Robert Maynard, Ranga Raju Vatsavai, Patrick O'Leary
2017	—	`conf`	Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap. BigData Congress 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
2017	—	`ed.`	Proceedings of the 6th ACM SIGSPATIAL Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2017, Redondo Beach, CA, USA, November 7, 2017 BigSpatial@SIGSPATIAL Varun Chandola, Ranga Raju Vatsavai
2017	J	`jnl`	Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Kuldeep R. Kurte, Surya S. Durbha, Roger L. King, Nicolas H. Younan, Ranga Raju Vatsavai
2017	C	`conf`	Semi-supervised deep generative models for change detection in very high resolution imagery. IGARSS Clayton Connors, Ranga Raju Vatsavai
2017	J	`jnl`	The Sixth ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data: Redondo Beach, CA, USA - November 7, 2017. ACM SIGSPATIAL Special Varun Chandola, Ranga Raju Vatsavai
2017	—	`ch.`	University of Minnesota (UMN) Map Server. Encyclopedia of GIS Ranga Raju Vatsavai, Thomas E. Burk, Stephen Lime
2017	—	`conf`	tFUTURES: Computational Steering for Geosimulations. SIGSPATIAL/GIS Ashwin Shashidharan, Ranga Raju Vatsavai, Abhinav Ashish, Ross K. Meentemeyer
2016	—	`conf`	A Scalable Probabilistic Change Detection Algorithm for Very High Resolution (VHR) Satellite Imagery. BigData Congress Seokyong Hong, Ranga Raju Vatsavai
2016	—	`conf`	Agent based urban growth modeling framework on Apache Spark. BigSpatial@SIGSPATIAL Qiang Zhang, Ranga Raju Vatsavai, Ashwin Shashidharan, Derek B. van Berkel
2016	J	`jnl`	Data Science for Food, Energy and Water: A Workshop Report. SIGKDD Explor. Naoki Abe, Yiqun Xie, Shashi Shekhar, Chid Apté, Vipin Kumar, Mitch Tuinstra, Ranga Raju Vatsavai
2016	Misc	`conf`	Detecting Extreme Events in Gridded Climate Data. ICCS Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Dale P. Kaiser, Thomas P. Karnowski
2016	A	`conf`	Evaluation of Pattern Matching Workloads in Graph Analysis Systems. HPDC Seokyong Hong, SangKeun Lee, Seung-Hwan Lim, Sreenivas R. Sukumar, Ranga Raju Vatsavai
2016	J	`jnl`	Guest editorial: big spatial data. GeoInformatica Ranga Raju Vatsavai, Varun Chandola
2016	—	`ed.`	Proceedings of the 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2016, Burlingame, California, USA, October 31, 2016 BigSpatial@SIGSPATIAL Varun Chandola, Ranga Raju Vatsavai
2016	—	`conf`	Scalable nearest neighbor based hierarchical change detection framework for crop monitoring. IEEE BigData Zexi Chen, Ranga Raju Vatsavai, Bharathkumar Ramachandra, Qiang Zhang, Nagendra Singh, Sreenivas R. Sukumar
2016	Misc	`conf`	Sliding Window-based Probabilistic Change Detection for Remote-sensed Images. ICCS Seokyong Hong, Ranga Raju Vatsavai
2016	—	`conf`	pFUTURES: A Parallel Framework for Cellular Automaton Based Urban Growth Models. GIScience Ashwin Shashidharan, Derek B. van Berkel, Ranga Raju Vatsavai, Ross K. Meentemeyer
2015	—	`conf`	A Scalable Complex Pattern Mining Framework for Global Settlement Mapping. BigData Congress Ranga Raju Vatsavai
2015	—	`conf`	Multitemporal data mining: From biomass monitoring to nuclear proliferation detection. MultiTemp Ranga Raju Vatsavai
2015	—	`ed.`	Proceedings of the 4th International ACM SIGSPATIAL Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2015, Bellevue, WA, USA, November 3-6, 2015 BigSpatial@SIGSPATIAL Varun Chandola, Ranga Raju Vatsavai
2015	A*	`conf`	Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery. KDD Manu Sethi, Yupeng Yan, Anand Rangarajan, Ranga Raju Vatsavai, Sanjay Ranka
2015	J	`jnl`	The Third ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data Dallas, Texas, USA - November 4, 2014. ACM SIGSPATIAL Special Varun Chandola, Ranga Raju Vatsavai
2014	J	`jnl`	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 Varun Chandola, Ranga Raju Vatsavai
2014	J	`jnl`	Emerging trends in monitoring landscapes and energy infrastructures with big spatial data. ACM SIGSPATIAL Special Budhendra L. Bhaduri, Dilip R. Patlolla, Ranga Raju Vatsavai, Anil M. Cheriyadat, Wei Lu, Rajasekar Karthik
2014	—	`ed.`	Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2014, Dallas, Texas, USA, November 4, 2014 BigSpatial@SIGSPATIAL Varun Chandola, Ranga Raju Vatsavai
2013	A*	`conf`	Gaussian multiple instance learning approach for mapping the slums of the world using very high resolution imagery. KDD Ranga Raju Vatsavai
2013	—	`conf`	Multi-sensor Remote Sensing Image Change Detection: An Evaluation of Similarity Measures. ICDM Workshops Karthik Ganesan Pillai, Ranga Raju Vatsavai
2013	—	`conf`	Object based image classification: state of the art and computational challenges. BigSpatial@SIGSPATIAL Ranga Raju Vatsavai
2013	—	`ed.`	Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2013, Nov 4th, 2013, Orlando, FL, USA BigSpatial@SIGSPATIAL Varun Chandola, Ranga Raju Vatsavai
2012	—	`conf`	A Data Mining Framework for Monitoring Nuclear Facilities. ICDM Workshops Ranga Raju Vatsavai
2012	—	`conf`	A machine learning system for recognizing subclasses. COM.Geo Ranga Raju Vatsavai
2012	—	`conf`	Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning. ICMLA (1) Christopher T. Symons, Ranga Raju Vatsavai, Goo Jun, Itamar Arel
2012	J	`jnl`	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 Shaowen Wang, Anand Padmanabhan, Nancy Wilkins-Diehr, Xuan Shi, Ranga Raju Vatsavai
2012	J	`jnl`	Image Based Characterization of Formal and Informal Neighborhoods in an Urban Landscape. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jordan Graesser, Anil M. Cheriyadat, Ranga Raju Vatsavai, Varun Chandola, Jordan Long, Eddie A. Bright
2012	—	`conf`	Modeling spatial dependencies and semantic concepts in data mining. COM.Geo Ranga Raju Vatsavai
2012	—	`ch.`	Open-Source GIS. Springer Handbook of Geographic Information Ranga Raju Vatsavai, Thomas E. Burk, Stephen Lime, Marco Hugentobler, Andreas Neumann, Christian Strobl
2012	Misc	`conf`	Probabilistic Change Detection Framework for Analyzing Settlement Dynamics Using Very High-resolution Satellite Imagery. ICCS Ranga Raju Vatsavai, Jordan Graesser
2012	—	`ed.`	Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2012, Redondo Beach, CA, USA, November 6, 2012 BigSpatial@SIGSPATIAL Varun Chandola, Ranga Raju Vatsavai, Chetan Gupta
2012	—	`conf`	Rapid Damage eXplorer (RDX): A Probabilistic Framework for Learning Changes from Bitemporal Images. ICDM Workshops Ranga Raju Vatsavai
2012	—	`conf`	Scalable Multi-Instance Learning Approach for Mapping the Slums of the World. SC Companion Ranga Raju Vatsavai
2012	—	`conf`	Spatiotemporal data mining in the era of big spatial data: algorithms and applications. BigSpatial@SIGSPATIAL Ranga Raju Vatsavai, Auroop R. Ganguly, Varun Chandola, Anthony Stefanidis, Scott Klasky, Shashi Shekhar
2011	A	`conf`	A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time Series. SDM Varun Chandola, Ranga Raju Vatsavai
2011	J	`jnl`	A hybrid classification scheme for mining multisource geospatial data. GeoInformatica Ranga Raju Vatsavai, Budhendra L. Bhaduri
2011	J	`jnl`	A scalable gaussian process analysis algorithm for biomass monitoring. Stat. Anal. Data Min. Varun Chandola, Ranga Raju Vatsavai
2011	Misc	`conf`	Data Mining in Earth System Science (DMESS 2011). ICCS 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
2011	C	`conf`	Design of benchmark imagery for validating facility annotation algorithms. IGARSS 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
2011	Misc	`conf`	GX-Means: A model-based divide and merge algorithm for geospatial image clustering. ICCS Ranga Raju Vatsavai, Christopher T. Symons, Varun Chandola, Goo Jun
2011	J	`jnl`	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 Shaowen Wang, Nancy Wilkins-Diehr, Anand Padmanabhan, Xuan Shi, Ranga Raju Vatsavai, Jianting Zhang
2011	—	`conf`	High-Resolution Urban Image Classification Using Extended Features. ICDM Workshops Ranga Raju Vatsavai
2011	—	`conf`	Implementing a gaussian process learning algorithm in mixed parallel environment. ScalA@SC Varun Chandola, Ranga Raju Vatsavai
2011	—	`conf`	Machine learning approaches for high-resolution urban land cover classification: a comparative study. COM.Geo Ranga Raju Vatsavai, Eddie A. Bright, Varun Chandola, Budhendra L. Bhaduri, Anil M. Cheriyadat, Jordan Graesser
2011	C	`conf`	Rapid damage assessment using high-resolution remote sensing imagery: Tools and techniques. IGARSS Ranga Raju Vatsavai, Mark A. Tuttle, Budhendra L. Bhaduri, Edward Bright, Anil M. Cheriyadat, Varun Chandola, Jordan Graesser
2011	C	`conf`	Verification & validation of a semantic image tagging framework via generation of geospatial imagery ground truth. IGARSS Shaun S. Gleason, Mesfin Dema, Hamed Sari-Sarraf, Anil M. Cheriyadat, Ranga Raju Vatsavai, Regina Ferrell
2011	—	`conf`	iGlobe: an interactive visualization and analysis framework for geospatial data. COM.Geo Varun Chandola, Ranga Raju Vatsavai, Budhendra L. Bhaduri
2010	—	`conf`	Emerging geospatial science and technology for sustainable bioenergy. COM.Geo Robert Tetrault, Brad Doorn, Alison Goss Eng, Alex Philp, Budhendra L. Bhaduri, Ranga Raju Vatsavai
2010	C	`conf`	Geospatial image mining for nuclear proliferation detection: Challenges and new opportunities. IGARSS 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
2010	—	`ed.`	Knowledge Discovery from Sensor Data, Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers KDD Workshop on Knowledge Discovery from Sensor Data Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly
2010	J	`jnl`	Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. Varun Chandola, Olufemi A. Omitaomu, Auroop R. Ganguly, Ranga Raju Vatsavai, Nitesh V. Chawla, João Gama, Mohamed Medhat Gaber
2010	—	`conf`	Modeling spatial dependencies in high-resolution overhead imagery. AIPR Anil M. Cheriyadat, Ranga Raju Vatsavai, Eddie A. Bright
2010	—	`conf`	Multi-temporal remote sensing image classification - A multi-view approach. CIDU Varun Chandola, Ranga Raju Vatsavai
2010	—	`ed.`	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 GIS-HPDGIS Shaowen Wang, Nancy Wilkins-Diehr, Xuan Shi, Ranga Raju Vatsavai, Jianting Zhang
2010	—	`conf`	Scalable Time Series Change Detection for Biomass Monitoring Using Gaussian Process. CIDU Varun Chandola, Ranga Raju Vatsavai
2010	C	`conf`	Semantic information extraction from multispectral geospatial imagery via a flexible framework. IGARSS Shaun S. Gleason, Regina Ferrell, Anil M. Cheriyadat, Ranga Raju Vatsavai, Soumya De
2010	—	`conf`	Supervised semantic classification for nuclear proliferation monitoring. AIPR Ranga Raju Vatsavai, Anil M. Cheriyadat, Shaun S. Gleason
2010	—	`conf`	Unsupervised Semantic Labeling Framework for Identification of Complex Facilities in High-Resolution Remote Sensing Images. ICDM Workshops Ranga Raju Vatsavai, Anil M. Cheriyadat, Shaun S. Gleason
2010	—	`conf`	Using Time Series Segmentation for Deriving Vegetation Phenology Indices from MODIS NDVI Data. ICDM Workshops Varun Chandola, Dafeng Hui, Lianhong Gu, Budhendra L. Bhaduri, Ranga Raju Vatsavai
2009	—	`conf`	BioMon: a Google Earth based continuous biomass monitoring system. GIS Ranga Raju Vatsavai
2009	—	`conf`	Incremental Clustering Algorithm for Earth Science Data Mining. ICCS (2) Ranga Raju Vatsavai
2009	J	`jnl`	Knowledge discovery from data streams. Intell. Data Anal. João Gama, Auroop R. Ganguly, Olufemi A. Omitaomu, Ranga Raju Vatsavai, Mohamed Medhat Gaber
2009	J	`jnl`	Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, João Gama, Mohamed Medhat Gaber
2009	—	`conf`	Phenological event detection from multitemporal image data. KDD Workshop on Knowledge Discovery from Sensor Data Ranga Raju Vatsavai
2009	—	`ed.`	Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, Paris, France, June 28, 2009 KDD Workshop on Knowledge Discovery from Sensor Data Olufemi A. Omitaomu, Auroop R. Ganguly, João Gama, Ranga Raju Vatsavai, Nitesh V. Chawla, Mohamed Medhat Gaber
2009	—	`conf`	Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes. ICDM Workshops Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh
2008	—	`conf`	*Miner: A Suit of Classifiers for Spatial, Temporal, Ancillary, and Remote Sensing Data Mining. ITNG Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk, Budhendra L. Bhaduri
2008	—	`conf`	*Miner: a spatial and spatiotemporal data mining system. GIS Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk, Budhendra L. Bhaduri
2008	—	`conf`	A Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes. SSPR/SPR Ranga Raju Vatsavai, Shashi Shekhar, Budhendra L. Bhaduri
2008	—	`conf`	A Semi-supervised Learning Algorithm for Recognizing Sub-classes. ICDM Workshops Ranga Raju Vatsavai, Shashi Shekhar, Budhendra L. Bhaduri
2008	J	`jnl`	Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly
2008	—	`conf`	Multisource Data Classification using a Hybrid Semi-Supervised Learning Scheme. IGARSS (3) Ranga Raju Vatsavai, Budhendra L. Badhuri, Shashi Shekhar, Thomas E. Burk
2008	—	`conf`	Overhead image statistics. AIPR Veeraraghavan Vijayaraj, Anil M. Cheriyadat, Phil Sallee, Brian Colder, Ranga Raju Vatsavai, Eddie A. Bright, Budhendra L. Bhaduri
2008	—	`ch.`	Spatial and Spatiotemporal Data Mining. Next Generation of Data Mining Shashi Shekhar, Ranga Raju Vatsavai, Mete Celik
2008	—	`conf`	Sub-class Recognition from Aggregate Class Labels: Preliminary Results. ICTAI (1) Ranga Raju Vatsavai, Shashi Shekhar, Budhendra L. Bhaduri
2008	—	`ch.`	University of Minnesota (UMN) Map Server. Encyclopedia of GIS Ranga Raju Vatsavai, Thomas E. Burk, Stephen Lime
2007	—	`conf`	A Hybrid Classification Scheme for Mining Multisource Geospatial Data. ICDM Workshops Ranga Raju Vatsavai, Budhendra L. Bhaduri
2007	J	`jnl`	An efficient spatial semi-supervised learning algorithm. Int. J. Parallel Emergent Distributed Syst. Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk
2006	—	`conf`	Access Control Inference And Feedback For Policy Managers: A Fine-Grained Analysis. POLICY Ranga Raju Vatsavai, Sharma Chakravarthy, Mukesh K. Mohania
2006	B	`conf`	Improving DB2 Performance Expert - A Generic Analysis Framework. EDBT 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
2006	—	`conf`	UMN-MapServer: A High-Performance, Interoperable, and Open Source Web Mapping and Geo-spatial Analysis System. GIScience Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk, Stephen Lime
2005	B	`conf`	A Semi-Supervised Learning Method for Remote Sensing Data Mining. ICTAI Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk
2005	—	`conf`	Analyzing Policy Dependencies Using Historical Information. POLICY Rohit Lotlikar, Sharma Chakravarthy, Ranga Raju Vatsavai, Mukesh K. Mohania
2005	—	`conf`	How to Leverage Access Control Specification for Autonomic Policy Management. ICAC Ranga Raju Vatsavai, Sharma Chakravarthy, Mukesh K. Mohania
2005	—	`conf`	Policy Schedule Advisor for Performance Management. ICAC Rohit Lotlikar, Ranga Raju Vatsavai, Mukesh K. Mohania, Sharma Chakravarthy
2004	—	`conf`	Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis. GIScience Baris M. Kazar, Shashi Shekhar, David J. Lilja, Ranga Raju Vatsavai, R. Kelley Pace
2004	—	`ch.`	Navigation Systems: A Spatial Database Perspective. Location-Based Services Shashi Shekhar, Ranga Raju Vatsavai, Xiaobin Ma, Jin Soung Yoo
2002	J	`jnl`	Spatial contextual classification and prediction models for mining geospatial data. IEEE Trans. Multim. Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsavai, Weili Wu, Sanjay Chawla
2001	B	`conf`	An efficient query strategy for integrated Remote Sensing and inventory (Spatial) Databases. SSDBM Ranga Raju Vatsavai, Thomas E. Burk, Shashi Shekhar, Mark H. Hansen
2001	—	`conf`	WMS and GML based Interoperable Web Mapping System. ACM-GIS Shashi Shekhar, Ranga Raju Vatsavai, Namita Sahay, Thomas E. Burk, Stephen Lime
2000	—	`conf`	A Web-based browsing and spatial analysis system for regional natural resource analysis and mapping. ACM-GIS Ranga Raju Vatsavai, Thomas E. Burk, B. Tyler Wilson, Shashi Shekhar
1999	—	`conf`	Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data Models. Integrated Spatial Databases Shashi Shekhar, Ranga Raju Vatsavai, Sanjay Chawla, Thomas E. Burk