Ranga Raju Vatsavai

A Survey of Single-Scene Video Anomaly Detection

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 44(5), 2293–2312.

Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery

2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp. 643–649.

A Scalable System for Searching Large-scale Multi-sensor Remote Sensing Image Collections

2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 3780–3783.

Local Clustering with Mean Teacher for Semi-supervised learning

2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp. 6243–6250.

Perceptual metric learning for video anomaly detection

MACHINE VISION AND APPLICATIONS, 32(3).

Anomalous cluster detection in spatiotemporal meteorological fields

STATISTICAL ANALYSIS AND DATA MINING, 12(2), 88–100.

Deformable Part Models for Complex Object Detection in Remote Sensing Imagery

BIGSPATIAL 2018: PROCEEDINGS OF THE 7TH ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON ANALYTICS FOR BIG GEOSPATIAL DATA (BIGSPATIAL-2018), pp. 57–62.

FUTURES-DPE: Towards Dynamic Provisioning and Execution of Geosimulations in HPC environments

26TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2018), pp. 464–467.

Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images

2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), pp. 1397–1404.

Real-Time Energy Audit of Built Environments: Simultaneous Localization and Thermal Mapping

JOURNAL OF INFRASTRUCTURE SYSTEMS, 24(3).

Hierarchical change detection framework for biomass monitoring

2017 ieee international geoscience and remote sensing symposium (igarss), 620–623.

High performance GPU computing based approaches for oil spill detection from multi-temporal remote sensing data

REMOTE SENSING OF ENVIRONMENT, 202, 28–44.

Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap

2017 IEEE 6TH INTERNATIONAL CONGRESS ON BIG DATA (BIGDATA CONGRESS 2017), pp. 232–250.

Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 10(1), 29–44.

Semi-supervised deep generative models for change detection in very high resolution imagery

2017 ieee international geoscience and remote sensing symposium (igarss), 1063–1066.

A Scalable Probabilistic Change Detection Algorithm for Very High Resolution (VHR) Satellite Imagery

2016 IEEE INTERNATIONAL CONGRESS ON BIG DATA - BIGDATA CONGRESS 2016, pp. 275–282.

Detecting Extreme Events in Gridded Climate Data

Procedia Computer Science, 80, 2397–2401.

Guest editorial: big spatial data

Vatsavai, R., & Chandola, V. (2016, October). GEOINFORMATICA, Vol. 20, pp. 797–799.

Mapping Magnetic Ordering With Aberrated Electron Probes in STEM

Microscopy and Microanalysis, 22(S3), 1676–1677.

Monitoring Land-Cover Changes A machine-learning perspective

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 4(2), 8–21.

Scalable nearest neighbor based hierarchical change detection framework for crop monitoring

2016 IEEE International Conference on Big Data (Big Data), 1309–1314.

Sliding Window-based Probabilistic Change Detection for Remote-sensed Images

Procedia Computer Science, 80, 2348–2352.

pFUTURES: A Parallel Framework for Cellular Automaton Based Urban Growth Models

GEOGRAPHIC INFORMATION SCIENCE, (GISCIENCE 2016), Vol. 9927, pp. 163–177.

A Scalable Complex Pattern Mining Framework for Global Settlement Mapping

2015 IEEE INTERNATIONAL CONGRESS ON BIG DATA - BIGDATA CONGRESS 2015, pp. 514–521.

Multitemporal data mining: From biomass monitoring to nuclear proliferation detection

2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp).

Probabilistic Change Detection Framework for Analyzing Settlement Dynamics Using Very High-resolution Satellite Imagery

Procedia Computer Science, 9, 907–916.

A hybrid classification scheme for mining multisource geospatial data

GeoInformatica, 15(1), 29–47.

A scalable gaussian process analysis algorithm for biomass monitoring

Statistical Analysis and Data Mining, 4(4), 430–445.

Data Mining in Earth System Science (DMESS 2011)

Procedia Computer Science, 4, 1450–1455.

GX-Means: A model-based divide and merge algorithm for geospatial image clustering

Procedia Computer Science, 4, 186–195.

Incremental Clustering Algorithm for Earth Science Data Mining

In G. Allen, J. Nabrzyski, E. Seidel, G. D. van Albada, J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2009 (pp. 375–384).

A Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes

In Lecture Notes in Computer Science (pp. 967–976).

An efficient spatial semi-supervised learning algorithm

International Journal of Parallel, Emergent and Distributed Systems, 22(6), 427–437.

Improving DB2 Performance Expert – A Generic Analysis Framework

In Lecture Notes in Computer Science (pp. 1097–1101).

UMN-MapServer: A High-Performance, Interoperable, and Open Source Web Mapping and Geo-spatial Analysis System

In Geographic Information Science (pp. 400–417).

Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis

In Geographic Information Science (pp. 140–161).