Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data Models. - Shashi Shekhar 001; Ranga Raju Vatsavai; Sanjay Chawla; Thomas E. Burk (Integrated Spatial Databases, 1999)

A Web-based browsing and spatial analysis system for regional natural resource analysis and mapping. - Ranga Raju Vatsavai; Thomas E. Burk; B. Tyler Wilson; Shashi Shekhar 001 (ACM-GIS, 2000)

WMS and GML based Interoperable Web Mapping System. - Shashi Shekhar 001; Ranga Raju Vatsavai; Namita Sahay; Thomas E. Burk; Stephen Lime (ACM-GIS, 2001)

An efficient query strategy for integrated Remote Sensing and inventory (Spatial) Databases. - Ranga Raju Vatsavai; Thomas E. Burk; Shashi Shekhar 001; Mark H. Hansen (SSDBM, 2001)

Spatial contextual classification and prediction models for mining geospatial data. - Shashi Shekhar 001; Paul R. Schrater; Ranga Raju Vatsavai; Weili Wu 001; Sanjay Chawla (IEEE Trans. Multim., 2002)

Navigation Systems: A Spatial Database Perspective. - Shashi Shekhar 001; Ranga Raju Vatsavai; Xiaobin Ma; Jin Soung Yoo (Location-Based Services, 2004)

Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis. - Baris M. Kazar; Shashi Shekhar 001; David J. Lilja; Ranga Raju Vatsavai; R. Kelley Pace (GIScience, 2004)

Policy Schedule Advisor for Performance Management. - Rohit Lotlikar; Ranga Raju Vatsavai; Mukesh K. Mohania; Sharma Chakravarthy (ICAC, 2005)

How to Leverage Access Control Specification for Autonomic Policy Management. - Ranga Raju Vatsavai; Sharma Chakravarthy; Mukesh K. Mohania (ICAC, 2005)

A Semi-Supervised Learning Method for Remote Sensing Data Mining. - Ranga Raju Vatsavai; Shashi Shekhar 001; Thomas E. Burk (ICTAI, 2005)

Analyzing Policy Dependencies Using Historical Information. - Rohit Lotlikar; Sharma Chakravarthy; Ranga Raju Vatsavai; Mukesh K. Mohania (POLICY, 2005)

Improving DB2 Performance Expert - A Generic Analysis Framework. - 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 (EDBT, 2006)

UMN-MapServer: A High-Performance, Interoperable, and Open Source Web Mapping and Geo-spatial Analysis System. - Ranga Raju Vatsavai; Shashi Shekhar 001; Thomas E. Burk; Stephen Lime (GIScience, 2006)

Access Control Inference And Feedback For Policy Managers: A Fine-Grained Analysis. - Ranga Raju Vatsavai; Sharma Chakravarthy; Mukesh K. Mohania (POLICY, 2006)

An efficient spatial semi-supervised learning algorithm. - Ranga Raju Vatsavai; Shashi Shekhar 001; Thomas E. Burk (Int. J. Parallel Emergent Distributed Syst., 2007)

Spatial and Spatiotemporal Data Mining. - Shashi Shekhar 001; Ranga Raju Vatsavai; Mete Celik (Next Generation of Data Mining, 2008)

Overhead image statistics. - Veeraraghavan Vijayaraj; Anil M. Cheriyadat; Phil Sallee; Brian Colder; Ranga Raju Vatsavai; Eddie A. Bright; Budhendra L. Bhaduri (AIPR, 2008)

*Miner: a spatial and spatiotemporal data mining system. - Ranga Raju Vatsavai; Shashi Shekhar 001; Thomas E. Burk; Budhendra L. Bhaduri (GIS, 2008)

A Semi-supervised Learning Algorithm for Recognizing Sub-classes. - Ranga Raju Vatsavai; Shashi Shekhar 001; Budhendra L. Bhaduri (ICDM Workshops, 2008)

Sub-class Recognition from Aggregate Class Labels: Preliminary Results. - Ranga Raju Vatsavai; Shashi Shekhar 001; Budhendra L. Bhaduri (ICTAI (1), 2008)

Multisource Data Classification using a Hybrid Semi-Supervised Learning Scheme. - Ranga Raju Vatsavai; Budhendra L. Badhuri; Shashi Shekhar 001; Thomas E. Burk (IGARSS (3), 2008)

*Miner: A Suit of Classifiers for Spatial, Temporal, Ancillary, and Remote Sensing Data Mining. - Ranga Raju Vatsavai; Shashi Shekhar 001; Thomas E. Burk; Budhendra L. Bhaduri (ITNG, 2008)

A Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes. - Ranga Raju Vatsavai; Shashi Shekhar 001; Budhendra L. Bhaduri (SSPR/SPR, 2008)

Knowledge discovery from sensor data (SensorKDD). - Ranga Raju Vatsavai; Olufemi A. Omitaomu; João Gama 001; Nitesh V. Chawla; Mohamed Medhat Gaber; Auroop R. Ganguly (SIGKDD Explor., 2008)

University of Minnesota (UMN) Map Server. - Ranga Raju Vatsavai; Thomas E. Burk; Stephen Lime (Encyclopedia of GIS, 2008)

BioMon: a Google Earth based continuous biomass monitoring system. - Ranga Raju Vatsavai (GIS, 2009)

Incremental Clustering Algorithm for Earth Science Data Mining. - Ranga Raju Vatsavai (ICCS (2), 2009)

Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes. - Goo Jun; Ranga Raju Vatsavai; Joydeep Ghosh (ICDM Workshops, 2009)

Phenological event detection from multitemporal image data. - Ranga Raju Vatsavai (KDD Workshop on Knowledge Discovery from Sensor Data, 2009)

Knowledge discovery from data streams. - João Gama 001; Auroop R. Ganguly; Olufemi A. Omitaomu; Ranga Raju Vatsavai; Mohamed Medhat Gaber (Intell. Data Anal., 2009)

Modeling spatial dependencies in high-resolution overhead imagery. - Anil M. Cheriyadat; Ranga Raju Vatsavai; Eddie A. Bright (AIPR, 2010)

Supervised semantic classification for nuclear proliferation monitoring. - Ranga Raju Vatsavai; Anil M. Cheriyadat; Shaun S. Gleason (AIPR, 2010)

Scalable Time Series Change Detection for Biomass Monitoring Using Gaussian Process. - Varun Chandola; Ranga Raju Vatsavai (CIDU, 2010)

Multi-temporal remote sensing image classification - A multi-view approach. - Varun Chandola; Ranga Raju Vatsavai (CIDU, 2010)

Emerging geospatial science and technology for sustainable bioenergy. - Robert Tetrault; Brad Doorn; Alison Goss Eng; Alex Philp; Budhendra L. Bhaduri; Ranga Raju Vatsavai (COM.Geo, 2010)

Using Time Series Segmentation for Deriving Vegetation Phenology Indices from MODIS NDVI Data. - Varun Chandola; Dafeng Hui; Lianhong Gu; Budhendra L. Bhaduri; Ranga Raju Vatsavai (ICDM Workshops, 2010)

Unsupervised Semantic Labeling Framework for Identification of Complex Facilities in High-Resolution Remote Sensing Images. - Ranga Raju Vatsavai; Anil M. Cheriyadat; Shaun S. Gleason (ICDM Workshops, 2010)

Semantic information extraction from multispectral geospatial imagery via a flexible framework. - Shaun S. Gleason; Regina Ferrell; Anil M. Cheriyadat; Ranga Raju Vatsavai; Soumya De (IGARSS, 2010)

Geospatial image mining for nuclear proliferation detection: Challenges and new opportunities. - 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; et al. (IGARSS, 2010)

Knowledge discovery from sensor data (SensorKDD). - Varun Chandola; Olufemi A. Omitaomu; Auroop R. Ganguly; Ranga Raju Vatsavai; Nitesh V. Chawla; João Gama 001; Mohamed Medhat Gaber (SIGKDD Explor., 2010)

iGlobe: an interactive visualization and analysis framework for geospatial data. - Varun Chandola; Ranga Raju Vatsavai; Budhendra L. Bhaduri (COM.Geo, 2011)

Machine learning approaches for high-resolution urban land cover classification: a comparative study. - Ranga Raju Vatsavai; Eddie A. Bright; Varun Chandola; Budhendra L. Bhaduri; Anil M. Cheriyadat; Jordan Graesser (COM.Geo, 2011)

High-Resolution Urban Image Classification Using Extended Features. - Ranga Raju Vatsavai (ICDM Workshops, 2011)

Verification & validation of a semantic image tagging framework via generation of geospatial imagery ground truth. - Shaun S. Gleason; Mesfin Dema; Hamed Sari-Sarraf; Anil M. Cheriyadat; Ranga Raju Vatsavai; Regina Ferrell (IGARSS, 2011)

Design of benchmark imagery for validating facility annotation algorithms. - Randy S. Roberts; Paul A. Pope; Ranga Raju Vatsavai; Ming Jiang 005; Lloyd F. Arrowood; Timothy G. Trucano; Shaun S. Gleason; Anil M. Cheriyadat; Alex Sorokine; Aggelos K. Katsaggelos; Thrasyvoulos N. Pappas; Lucinda R. Gaines; et al. (IGARSS, 2011)

Rapid damage assessment using high-resolution remote sensing imagery: Tools and techniques. - Ranga Raju Vatsavai; Mark A. Tuttle; Budhendra L. Bhaduri; Edward Bright; Anil M. Cheriyadat; Varun Chandola; Jordan Graesser (IGARSS, 2011)

Implementing a gaussian process learning algorithm in mixed parallel environment. - Varun Chandola; Ranga Raju Vatsavai (ScalA@SC, 2011)

A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time Series. - Varun Chandola; Ranga Raju Vatsavai (SDM, 2011)

A hybrid classification scheme for mining multisource geospatial data. - Ranga Raju Vatsavai; Budhendra L. Bhaduri (GeoInformatica, 2011)

Data Mining in Earth System Science (DMESS 2011). - Forrest M. Hoffman; Jay Walter Larson; Richard Tran Mills; Bjørn-Gustaf J. Brooks; Auroop R. Ganguly; William W. Hargrove; Jian Huang 007; Jitendra Kumar 001; Ranga Raju Vatsavai (ICCS, 2011)

GX-Means: A model-based divide and merge algorithm for geospatial image clustering. - Ranga Raju Vatsavai; Christopher T. Symons; Varun Chandola; Goo Jun (ICCS, 2011)

A scalable gaussian process analysis algorithm for biomass monitoring. - Varun Chandola; Ranga Raju Vatsavai (Stat. Anal. Data Min., 2011)

HPDGIS 2010 workshop report: ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems (San Jose, California - November 2, 2010). - Shaowen Wang 001; Nancy Wilkins-Diehr; Anand Padmanabhan; Xuan Shi; Ranga Raju Vatsavai; Jianting Zhang (ACM SIGSPATIAL Special, 2011)

Open-Source GIS. - Ranga Raju Vatsavai; Thomas E. Burk; Stephen Lime; Marco Hugentobler; Andreas Neumann 002; Christian Strobl (Springer Handbook of Geographic Information, 2012)

A machine learning system for recognizing subclasses. - Ranga Raju Vatsavai (COM.Geo, 2012)

Modeling spatial dependencies and semantic concepts in data mining. - Ranga Raju Vatsavai (COM.Geo, 2012)

Spatiotemporal data mining in the era of big spatial data: algorithms and applications. - Ranga Raju Vatsavai; Auroop R. Ganguly; Varun Chandola; Anthony Stefanidis; Scott Klasky; Shashi Shekhar 001 (BigSpatial@SIGSPATIAL, 2012)

Rapid Damage eXplorer (RDX): A Probabilistic Framework for Learning Changes from Bitemporal Images. - Ranga Raju Vatsavai (ICDM Workshops, 2012)

A Data Mining Framework for Monitoring Nuclear Facilities. - Ranga Raju Vatsavai (ICDM Workshops, 2012)

Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning. - Christopher T. Symons; Ranga Raju Vatsavai; Goo Jun; Itamar Arel (ICMLA (1), 2012)

Scalable Multi-Instance Learning Approach for Mapping the Slums of the World. - Ranga Raju Vatsavai (SC Companion, 2012)

Probabilistic Change Detection Framework for Analyzing Settlement Dynamics Using Very High-resolution Satellite Imagery. - Ranga Raju Vatsavai; Jordan Graesser (ICCS, 2012)

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). - Shaowen Wang 001; Anand Padmanabhan; Nancy Wilkins-Diehr; Xuan Shi; Ranga Raju Vatsavai (ACM SIGSPATIAL Special, 2012)

Image Based Characterization of Formal and Informal Neighborhoods in an Urban Landscape. - Jordan Graesser; Anil M. Cheriyadat; Ranga Raju Vatsavai; Varun Chandola; Jordan Long; Eddie A. Bright (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Object based image classification: state of the art and computational challenges. - Ranga Raju Vatsavai (BigSpatial@SIGSPATIAL, 2013)

Multi-sensor Remote Sensing Image Change Detection: An Evaluation of Similarity Measures. - Karthik Ganesan Pillai; Ranga Raju Vatsavai (ICDM Workshops, 2013)

Gaussian multiple instance learning approach for mapping the slums of the world using very high resolution imagery. - Ranga Raju Vatsavai (KDD, 2013)

An efficient computational framework for labeling large scale spatiotemporal remote sensing datasets. - Manu Sethi; Yupeng Yan; Anand Rangarajan 001; Ranga Raju Vatsavaiy; Sanjay Ranka (IC3, 2014)

Emerging trends in monitoring landscapes and energy infrastructures with big spatial data. - Budhendra L. Bhaduri; Dilip R. Patlolla; Ranga Raju Vatsavai; Anil M. Cheriyadat; Wei Lu 004; Rajasekar Karthik (ACM SIGSPATIAL Special, 2014)

BigSpatial-2013 workshop report: 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2013): Nov 5, 2013, Orlando, Florida, USA. - Varun Chandola; Ranga Raju Vatsavai (ACM SIGSPATIAL Special, 2014)

A Scalable Complex Pattern Mining Framework for Global Settlement Mapping. - Ranga Raju Vatsavai (BigData Congress, 2015)

Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery. - Manu Sethi; Yupeng Yan; Anand Rangarajan 001; Ranga Raju Vatsavai; Sanjay Ranka (KDD, 2015)

Multitemporal data mining: From biomass monitoring to nuclear proliferation detection. - Ranga Raju Vatsavai (MultiTemp, 2015)

The Third ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data Dallas, Texas, USA - November 4, 2014. - Varun Chandola; Ranga Raju Vatsavai (ACM SIGSPATIAL Special, 2015)

A Scalable Probabilistic Change Detection Algorithm for Very High Resolution (VHR) Satellite Imagery. - Seokyong Hong; Ranga Raju Vatsavai (BigData Congress, 2016)

Scalable nearest neighbor based hierarchical change detection framework for crop monitoring. - Zexi Chen; Ranga Raju Vatsavai; Bharathkumar Ramachandra; Qiang Zhang; Nagendra Singh; Sreenivas R. Sukumar 001 (IEEE BigData, 2016)

Agent based urban growth modeling framework on Apache Spark. - Qiang Zhang; Ranga Raju Vatsavai; Ashwin Shashidharan; Derek B. van Berkel (BigSpatial@SIGSPATIAL, 2016)

pFUTURES: A Parallel Framework for Cellular Automaton Based Urban Growth Models. - Ashwin Shashidharan; Derek B. van Berkel; Ranga Raju Vatsavai; Ross K. Meentemeyer (GIScience, 2016)

Evaluation of Pattern Matching Workloads in Graph Analysis Systems. - Seokyong Hong; Sangkeun Lee 001; Seung-Hwan Lim; Sreenivas R. Sukumar 001; Ranga Raju Vatsavai (HPDC, 2016)

Sliding Window-based Probabilistic Change Detection for Remote-sensed Images. - Seokyong Hong; Ranga Raju Vatsavai (ICCS, 2016)

Detecting Extreme Events in Gridded Climate Data. - Bharathkumar Ramachandra; Krishna Karthik Gadiraju; Ranga Raju Vatsavai; Dale P. Kaiser; Thomas P. Karnowski (ICCS, 2016)

Guest editorial: big spatial data. - Ranga Raju Vatsavai; Varun Chandola (GeoInformatica, 2016)

Data Science for Food, Energy and Water: A Workshop Report. - Naoki Abe; Yiqun Xie; Shashi Shekhar 001; Chid Apté; Vipin Kumar 001; Mitch Tuinstra; Ranga Raju Vatsavai (SIGKDD Explor., 2016)

Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap. - Sushil K. Prasad; Danial Aghajarian; Michael McDermott; Dhara Shah; Mohamed F. Mokbel; Satish Puri; Sergio J. Rey; Shashi Shekhar 001; Yiqun Xe; Ranga Raju Vatsavai; Fusheng Wang 001; Yanhui Liang; et al. (BigData Congress, 2017)

tFUTURES: Computational Steering for Geosimulations. - Ashwin Shashidharan; Ranga Raju Vatsavai; Abhinav Ashish; Ross K. Meentemeyer (SIGSPATIAL/GIS, 2017)

Hierarchical change detection framework for biomass monitoring. - Zexi Chen; Bharathkumar Ramachandra; Ranga Raju Vatsavai (IGARSS, 2017)

Semi-supervised deep generative models for change detection in very high resolution imagery. - Clayton Connors; Ranga Raju Vatsavai (IGARSS, 2017)

In Situ Summarization with VTK-m. - David C. Thompson 001; Sébastien Jourdain; Andrew C. Bauer; Berk Geveci; Robert Maynard; Ranga Raju Vatsavai; Patrick O'Leary (ISAV@SC, 2017)

Graph-based semi-supervised classification on very high resolution remote sensing images. - Yupeng Yan; Manu Sethi; Anand Rangarajan 001; Ranga Raju Vatsavai; Sanjay Ranka (Int. J. Big Data Intell., 2017)

The Sixth ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data: Redondo Beach, CA, USA - November 7, 2017. - Varun Chandola; Ranga Raju Vatsavai (ACM SIGSPATIAL Special, 2017)

Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data. - Kuldeep R. Kurte; Surya S. Durbha; Roger L. King; Nicolas H. Younan; Ranga Raju Vatsavai (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

University of Minnesota (UMN) Map Server. - Ranga Raju Vatsavai; Thomas E. Burk; Stephen Lime (Encyclopedia of GIS, 2017)

Deformable Part Models for Complex Object Detection in Remote Sensing Imagery. - Nathan Pool; Ranga Raju Vatsavai (BigSpatial@SIGSPATIAL, 2018)

FUTURES-DPE: towards dynamic provisioning and execution of geosimulations in HPC environments. - Ashwin Shashidharan; Ranga Raju Vatsavai; Ross K. Meentemeyer (SIGSPATIAL/GIS, 2018)

FUTURES-AMR: Towards an Adaptive Mesh Refinement Framework for Geosimulations. - Ashwin Shashidharan; Ranga Raju Vatsavai; Derek B. van Berkel; Ross K. Meentemeyer (GIScience, 2018)

Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images. - Krishna Karthik Gadiraju; Ranga Raju Vatsavai; Nikhil Kaza; Eric Wibbels; Anirudh Krishna (ICDM Workshops, 2018)

Relational Long Short-Term Memory for Video Action Recognition. - Zexi Chen; Bharathkumar Ramachandra; Tianfu Wu 001; Ranga Raju Vatsavai (CoRR, 2018)

The seventh ACM SIGSPATIAL international workshop on analysis for big spatial data seattle, wa, USA - November 6, 2018. - Varun Chandola; Ranga Raju Vatsavai (ACM SIGSPATIAL Special, 2018)

geoEdge: a real-time analytics framework for geospatial applications. - Ranga Raju Vatsavai; Bharathkumar Ramachandra; Zexi Chen; John Jernigan (BigSpatial@SIGSPATIAL, 2019)

Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition. - Krishna Karthik Gadiraju; Bharathkumar Ramachandra; Ranga Raju Vatsavai (ICDM Workshops, 2019)

Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes. - Krishna Karthik Gadiraju; Bharathkumar Ramachandra; Ashwin Shashidharan; Benjamin Dutton; Ranga Raju Vatsavai (ICMLA, 2019)

Classification Performance Evaluation of Deep Learning Architectures for Complex Object Based Facility Recognition. - Krishna Karthik Gadiraju; Bharathkumar Ramachandra; Ranga Raju Vatsavai (IGARSS, 2019)

Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors. - Bharathkumar Ramachandra; Krishna Karthik Gadiraju; Ranga Raju Vatsavai; Jaime Puente (IGARSS, 2019)

Estimating a Manifold from a Tangent Bundle Learner. - Bharathkumar Ramachandra; Benjamin Dutton; Ranga Raju Vatsavai (CoRR, 2019)

Anomalous cluster detection in spatiotemporal meteorological fields. - Bharathkumar Ramachandra; Benjamin Dutton; Ranga Raju Vatsavai (Stat. Anal. Data Min., 2019)

The Eighth ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data: Chicago, IL, USA - November 5, 2019. - Ashwin Shashidharan; Varun Chandola; Ranga Raju Vatsavai (ACM SIGSPATIAL Special, 2019)

Comparative analysis of deep transfer learning performance on crop classification. - Krishna Karthik Gadiraju; Ranga Raju Vatsavai (BigSpatial@SIGSPATIAL, 2020)

Local Clustering with Mean Teacher for Semi-supervised learning. - Zexi Chen; Benjamin Dutton; Bharathkumar Ramachandra; Tianfu Wu 001; Ranga Raju Vatsavai (ICPR, 2020)

Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery. - Krishna Karthik Gadiraju; Bharathkumar Ramachandra; Zexi Chen; Ranga Raju Vatsavai (KDD, 2020)

Learning a distance function with a Siamese network to localize anomalies in videos. - Bharathkumar Ramachandra; Michael J. Jones 001; Ranga Raju Vatsavai (WACV, 2020)

Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification. - Zexi Chen; Bharathkumar Ramachandra; Ranga Raju Vatsavai (CoRR, 2020)

The 9th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2020): November 3, 2020. - Ashwin Shashidharan; Varun Chandola; Ranga Raju Vatsavai (ACM SIGSPATIAL Special, 2020)

A Scalable System for Searching Large-scale Multi-sensor Remote Sensing Image Collections. - Yifan Zhao 006; Xian Yang 007; Ranga Raju Vatsavai (IEEE BigData, 2021)

On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks. - Anton Dereventsov; Ranga Raju Vatsavai; Clayton G. Webster (ICDM (Workshops), 2021)

Perceptual metric learning for video anomaly detection. - Bharathkumar Ramachandra; Michael Jones 002; Ranga Raju Vatsavai (Mach. Vis. Appl., 2021)

Persona-Based Conversational AI: State of the Art and Challenges. - Junfeng Liu; Christopher T. Symons; Ranga Raju Vatsavai (ICDM (Workshops), 2022)

Real-Time Change Detection At the Edge. - Krishna Karthik Gadiraju; Zexi Chen; Bharathkumar Ramachandra; Ranga Raju Vatsavai (ICMLA, 2022)

Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery. - Yifan Zhao 006; Xian Yang 007; Ranga Raju Vatsavai (ICMLA, 2022)

Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery. - Xian Yang 007; Yifan Zhao 006; Ranga Raju Vatsavai (ICPR, 2022)

A Survey of Single-Scene Video Anomaly Detection. - Bharathkumar Ramachandra; Michael J. Jones 001; Ranga Raju Vatsavai (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

The 10th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2022). - Ashwin Shashidharan; Krishna Karthik Gadiraju; Ranga Raju Vatsavai; Varun Chandola (ACM SIGSPATIAL Special, 2022)

Q-learning Based Simulation Tool for Studying Effectiveness of Dynamic Application of Fertilizer on Crop Productivity. - Zhuocheng Mei; Ranga Raju Vatsavai; Rada Chirkova (BigSpatial@SIGSPATIAL, 2023)

Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent. - Junfeng Liu; Zhuocheng Mei; Kewen Peng; Ranga Raju Vatsavai (ICDM (Workshops), 2023)

Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring. - Junfeng Liu; Christopher T. Symons; Ranga Raju Vatsavai (ICTAI, 2023)

Novel Deep Learning Framework for Imputing Holes in Orthorectified VHR Images. - Sai Venkata Vinay Kumar Samudrala; Yifan Zhao 006; Ranga Raju Vatsavai (IGARSS, 2023)

Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer. - Yifan Zhao 006; Xian Yang 007; Ranga Raju Vatsavai (ECML/PKDD (7), 2023)

Harmonization-guided deep residual network for imputing under clouds with multi-sensor satellite imagery. - Xian Yang 007; Yifan Zhao 006; Ranga Raju Vatsavai (SSTD, 2023)

Remote Sensing Based Crop Type Classification Via Deep Transfer Learning. - Krishna Karthik Gadiraju; Ranga Raju Vatsavai (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Deep Super Resolution Techniques for Remote Sensing Big Data: A Comparative Study. - Rishabh Jain; Ranga Raju Vatsavai (IEEE Big Data, 2024)

A Deep Learning Based Cloud Imputation Framework. - Harshitaa Yarramsetti; Kritika Javali; Mukund Logasundar; Richard Li; Ranga Raju Vatsavai (ICDM (Workshops), 2024)

Multi-spectral Gradient Residual Network for Haze Removal in Multi-sensor Remote Sensing Imagery. - Xian Yang; Ranga Raju Vatsavai (ECML/PKDD (10), 2024)

U-Prithvi: Integrating a Foundation Model and U-Net for Enhanced Flood Inundation Mapping. - Vit Kostejn; Yamil Essus; Jenna Abrahamson; Ranga Raju Vatsavai (GIScience, 2025)

CoMAC: Conversational Agent for Multi-source Auxiliary Context with Sparse and Symmetric Latent Interactions. - Junfeng Liu; Christopher T. Symons; Ranga Raju Vatsavai (PAKDD (5), 2025)