Ranga Raju Vatsavai

Orcid: 0000-0002-7083-0267

Affiliations:
  • North Carolina State University, Raleigh, NC, USA
  • Oak Ridge National Laboratory (former)


According to our database1, Ranga Raju Vatsavai authored at least 128 papers between 1999 and 2023.

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Bibliography

2023
Remote Sensing Based Crop Type Classification Via Deep Transfer Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Harmonization-guided deep residual network for imputing under clouds with multi-sensor satellite imagery.
Proceedings of the 18th International Symposium on Spatial and Temporal Data, 2023

Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Novel Deep Learning Framework for Imputing Holes in Orthorectified VHR Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent.
Proceedings of the IEEE International Conference on Data Mining, 2023

Q-learning Based Simulation Tool for Studying Effectiveness of Dynamic Application of Fertilizer on Crop Productivity.
Proceedings of the 11th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2023

2022
The 10th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2022).
ACM SIGSPATIAL Special, November, 2022

A Survey of Single-Scene Video Anomaly Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Real-Time Change Detection At the Edge.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Persona-Based Conversational AI: State of the Art and Challenges.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
Perceptual metric learning for video anomaly detection.
Mach. Vis. Appl., 2021

On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks.
Proceedings of the 2021 International Conference on Data Mining, 2021

A Scalable System for Searching Large-scale Multi-sensor Remote Sensing Image Collections.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
The 9th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2020): November 3, 2020.
ACM SIGSPATIAL Special, 2020

Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification.
CoRR, 2020

Learning a distance function with a Siamese network to localize anomalies in videos.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Local Clustering with Mean Teacher for Semi-supervised learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Comparative analysis of deep transfer learning performance on crop classification.
Proceedings of the BIGSPATIAL '20: Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2020

2019
The Eighth ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data: Chicago, IL, USA - November 5, 2019.
ACM SIGSPATIAL Special, 2019

Anomalous cluster detection in spatiotemporal meteorological fields.
Stat. Anal. Data Min., 2019

Estimating a Manifold from a Tangent Bundle Learner.
CoRR, 2019

Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Classification Performance Evaluation of Deep Learning Architectures for Complex Object Based Facility Recognition.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

geoEdge: a real-time analytics framework for geospatial applications.
Proceedings of the 8th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2019

2018
The seventh ACM SIGSPATIAL international workshop on analysis for big spatial data seattle, wa, USA - November 6, 2018.
ACM SIGSPATIAL Special, 2018

Relational Long Short-Term Memory for Video Action Recognition.
CoRR, 2018

Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

FUTURES-AMR: Towards an Adaptive Mesh Refinement Framework for Geosimulations.
Proceedings of the 10th International Conference on Geographic Information Science, 2018

FUTURES-DPE: towards dynamic provisioning and execution of geosimulations in HPC environments.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

Deformable Part Models for Complex Object Detection in Remote Sensing Imagery.
Proceedings of the 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2018

2017
University of Minnesota (UMN) Map Server.
Proceedings of the Encyclopedia of GIS., 2017

Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

The Sixth ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data: Redondo Beach, CA, USA - November 7, 2017.
ACM SIGSPATIAL Special, 2017

Graph-based semi-supervised classification on very high resolution remote sensing images.
Int. J. Big Data Intell., 2017

In Situ Summarization with VTK-m.
Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, 2017

Semi-supervised deep generative models for change detection in very high resolution imagery.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Hierarchical change detection framework for biomass monitoring.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

tFUTURES: Computational Steering for Geosimulations.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
Data Science for Food, Energy and Water: A Workshop Report.
SIGKDD Explor., 2016

Guest editorial: big spatial data.
GeoInformatica, 2016

Detecting Extreme Events in Gridded Climate Data.
Proceedings of the International Conference on Computational Science 2016, 2016

Sliding Window-based Probabilistic Change Detection for Remote-sensed Images.
Proceedings of the International Conference on Computational Science 2016, 2016

Evaluation of Pattern Matching Workloads in Graph Analysis Systems.
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016

pFUTURES: A Parallel Framework for Cellular Automaton Based Urban Growth Models.
Proceedings of the Geographic Information Science - 9th International Conference, 2016

Agent based urban growth modeling framework on Apache Spark.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2016

Scalable nearest neighbor based hierarchical change detection framework for crop monitoring.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

A Scalable Probabilistic Change Detection Algorithm for Very High Resolution (VHR) Satellite Imagery.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015
The Third ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data Dallas, Texas, USA - November 4, 2014.
ACM SIGSPATIAL Special, 2015

Multitemporal data mining: From biomass monitoring to nuclear proliferation detection.
Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015

Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

A Scalable Complex Pattern Mining Framework for Global Settlement Mapping.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014
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, 2014

Emerging trends in monitoring landscapes and energy infrastructures with big spatial data.
ACM SIGSPATIAL Special, 2014

An efficient computational framework for labeling large scale spatiotemporal remote sensing datasets.
Proceedings of the Seventh International Conference on Contemporary Computing, 2014

2013
Gaussian multiple instance learning approach for mapping the slums of the world using very high resolution imagery.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multi-sensor Remote Sensing Image Change Detection: An Evaluation of Similarity Measures.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Object based image classification: state of the art and computational challenges.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2013

2012
Image Based Characterization of Formal and Informal Neighborhoods in an Urban Landscape.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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).
ACM SIGSPATIAL Special, 2012

Probabilistic Change Detection Framework for Analyzing Settlement Dynamics Using Very High-resolution Satellite Imagery.
Proceedings of the International Conference on Computational Science, 2012

Scalable Multi-Instance Learning Approach for Mapping the Slums of the World.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

A Data Mining Framework for Monitoring Nuclear Facilities.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Rapid Damage eXplorer (RDX): A Probabilistic Framework for Learning Changes from Bitemporal Images.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Spatiotemporal data mining in the era of big spatial data: algorithms and applications.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2012

Modeling spatial dependencies and semantic concepts in data mining.
Proceedings of the 3rd International Conference on Computing for Geospatial Research and Application, 2012

A machine learning system for recognizing subclasses.
Proceedings of the 3rd International Conference on Computing for Geospatial Research and Application, 2012

Open-Source GIS.
Proceedings of the Die Dynamik sozialer und sprachlicher Netzwerke, 2012

2011
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, 2011

A scalable gaussian process analysis algorithm for biomass monitoring.
Stat. Anal. Data Min., 2011

GX-Means: A model-based divide and merge algorithm for geospatial image clustering.
Proceedings of the International Conference on Computational Science, 2011

Data Mining in Earth System Science (DMESS 2011).
Proceedings of the International Conference on Computational Science, 2011

A hybrid classification scheme for mining multisource geospatial data.
GeoInformatica, 2011

A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time Series.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Implementing a gaussian process learning algorithm in mixed parallel environment.
Proceedings of the second workshop on Scalable algorithms for large-scale systems, 2011

Rapid damage assessment using high-resolution remote sensing imagery: Tools and techniques.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Design of benchmark imagery for validating facility annotation algorithms.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Verification & validation of a semantic image tagging framework via generation of geospatial imagery ground truth.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

High-Resolution Urban Image Classification Using Extended Features.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Machine learning approaches for high-resolution urban land cover classification: a comparative study.
Proceedings of the 2nd International Conference and Exhibition on Computing for Geospatial Research & Application, 2011

iGlobe: an interactive visualization and analysis framework for geospatial data.
Proceedings of the 2nd International Conference and Exhibition on Computing for Geospatial Research & Application, 2011

2010
Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explor., 2010

Geospatial image mining for nuclear proliferation detection: Challenges and new opportunities.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Semantic information extraction from multispectral geospatial imagery via a flexible framework.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Unsupervised Semantic Labeling Framework for Identification of Complex Facilities in High-Resolution Remote Sensing Images.
Proceedings of the ICDMW 2010, 2010

Using Time Series Segmentation for Deriving Vegetation Phenology Indices from MODIS NDVI Data.
Proceedings of the ICDMW 2010, 2010

Emerging geospatial science and technology for sustainable bioenergy.
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application, 2010

Multi-temporal remote sensing image classification - A multi-view approach.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

Scalable Time Series Change Detection for Biomass Monitoring Using Gaussian Process.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

Supervised semantic classification for nuclear proliferation monitoring.
Proceedings of the 39th IEEE Applied Imagery Pattern Recognition Workshop, 2010

Modeling spatial dependencies in high-resolution overhead imagery.
Proceedings of the 39th IEEE Applied Imagery Pattern Recognition Workshop, 2010

2009
Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explor., 2009

Knowledge discovery from data streams.
Intell. Data Anal., 2009

Phenological event detection from multitemporal image data.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes.
Proceedings of the ICDM Workshops 2009, 2009

Incremental Clustering Algorithm for Earth Science Data Mining.
Proceedings of the Computational Science, 2009

BioMon: a Google Earth based continuous biomass monitoring system.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009

2008
University of Minnesota (UMN) Map Server.
Proceedings of the Encyclopedia of GIS., 2008

A Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes.
Proceedings of the Structural, 2008

*Miner: A Suit of Classifiers for Spatial, Temporal, Ancillary, and Remote Sensing Data Mining.
Proceedings of the Fifth International Conference on Information Technology: New Generations (ITNG 2008), 2008

Multisource Data Classification using a Hybrid Semi-Supervised Learning Scheme.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Sub-class Recognition from Aggregate Class Labels: Preliminary Results.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

A Semi-supervised Learning Algorithm for Recognizing Sub-classes.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

*Miner: a spatial and spatiotemporal data mining system.
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008

Overhead image statistics.
Proceedings of the 37th IEEE Applied Imagery Pattern Recognition Workshop, 2008

Spatial and Spatiotemporal Data Mining.
Proceedings of the Next Generation of Data Mining., 2008

2007
An efficient spatial semi-supervised learning algorithm.
Int. J. Parallel Emergent Distributed Syst., 2007

2006
Access Control Inference And Feedback For Policy Managers: A Fine-Grained Analysis.
Proceedings of the 7th IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY 2006), 2006

UMN-MapServer: A High-Performance, Interoperable, and Open Source Web Mapping and Geo-spatial Analysis System.
Proceedings of the Geographic Information Science, 4th International Conference, 2006

Improving DB2 Performance Expert - A Generic Analysis Framework.
Proceedings of the Advances in Database Technology, 2006

2005
Analyzing Policy Dependencies Using Historical Information.
Proceedings of the 6th IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY 2005), 2005

A Semi-Supervised Learning Method for Remote Sensing Data Mining.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

How to Leverage Access Control Specification for Autonomic Policy Management.
Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), 2005

Policy Schedule Advisor for Performance Management.
Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), 2005

2004
Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis.
Proceedings of the Geographic Information Science, Third International Conference, 2004

Navigation Systems: A Spatial Database Perspective.
Proceedings of the Location-Based Services, 2004

2002
Spatial contextual classification and prediction models for mining geospatial data.
IEEE Trans. Multim., 2002

2001
An efficient query strategy for integrated Remote Sensing and inventory (Spatial) Databases.
Proceedings of the 13th International Conference on Scientific and Statistical Database Management, 2001

WMS and GML based Interoperable Web Mapping System.
Proceedings of the ACM-GIS 2001, 2001

2000
A Web-based browsing and spatial analysis system for regional natural resource analysis and mapping.
Proceedings of the ACM-GIS 2000, 2000

1999
Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data Models.
Proceedings of the Integrated Spatial Databases, Digital Inages and GIS, 1999


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