Varun Chandola

Orcid: 0000-0001-8990-1398

Affiliations:
  • State University of New York (SUNY) at Buffalo


According to our database1, Varun Chandola authored at least 76 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning manifolds from non-stationary streams.
J. Big Data, December, 2024

Resource Efficient Bayesian Optimization.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023
Large Deviations Anomaly Detection (LAD) for collection of multivariate time series data: Applications to COVID-19 data.
J. Comput. Sci., September, 2023

Physics informed machine learning for chemistry tabulation.
J. Comput. Sci., May, 2023

Large Deviations for Accelerating Neural Networks Training.
CoRR, 2023

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

Tracking clusters and anomalies in evolving data streams.
Stat. Anal. Data Min., 2022

Geo-Adaptive Deep Spatio-Temporal predictive modeling for human mobility.
CoRR, 2022

An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds.
CoRR, 2022

Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2022

ChemTab: A Physics Guided Chemistry Modeling Framework.
Proceedings of the Computational Science - ICCS 2022, 2022

Classifying Anomalous Members in a Collection of Multivariate Time Series Data Using Large Deviations Principle: An Application to COVID-19 Data.
Proceedings of the Computational Science - ICCS 2022, 2022

2021
Anomaly Detection for High-Dimensional Data Using Large Deviations Principle.
CoRR, 2021

DST-Predict: Predicting Individual Mobility Patterns From Mobile Phone GPS Data.
IEEE Access, 2021

Graph-based Strategy for Establishing Morphology Similarity.
Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

From images in the wild to video-informed image classification.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Explainable Deep Learning for Readmission Prediction with Tree-GloVe Embedding.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

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

Learning Manifolds from Dynamic Process Data.
Algorithms, 2020

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

longSil: an Evaluation Metric to Assess Quality of Clustering Longitudinal Clinical Data.
J. Heal. Informatics Res., 2019

Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised).
CoRR, 2019

Learning Deep Representations from Clinical Data for Chronic Kidney Disease.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data.
Proceedings of the Computational Science - ICCS 2019, 2019

Tree-based Regularization for Interpretable Readmission Prediction.
Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019

2018
Similarity Metrics for SQL Query Clustering.
IEEE Trans. Knowl. Data Eng., 2018

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

Query Log Compression for Workload Analytics.
Proc. VLDB Endow., 2018

An Empirical Evaluation of Time-Aware LSTM Autoencoder on Chronic Kidney Disease.
CoRR, 2018

Learning Manifolds from Non-stationary Streaming Data.
CoRR, 2018

Hospital Readmission Prediction - Applying Hierarchical Sparsity Norms for Interpretable Models.
CoRR, 2018

Detecting Data Leakage from Databases on Android Apps with Concept Drift.
Proceedings of the 17th IEEE International Conference On Trust, 2018

WebGIobe - A cloud-based geospatial analysis framework for interacting with climate data.
Proceedings of the 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2018

dynamicMF: A Matrix Factorization Approach to Monitor Resource Usage in High Performance Computing Systems.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Active Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

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

Server, server in the cloud. Who is the fairest in the crowd?
CoRR, 2017

Tracking System Behaviour from Resource Usage Data.
CoRR, 2017

Error Metrics for Learning Reliable Manifolds from Streaming Data.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A K-Means Approach to Clustering Disease Progressions.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Automatic Extraction of Deep Phenotypes for Precision Medicine in Chronic Kidney Disease.
Proceedings of the 2017 International Conference on Digital Health, 2017

Tracking System Behavior from Resource Usage Data.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

S-Isomap++: Multi manifold learning from streaming data.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Guest editorial: big spatial data.
GeoInformatica, 2016

Summarizing Large Query Logs in Ettu.
CoRR, 2016

Ettu: Analyzing Query Intents in Corporate Databases.
Proceedings of the 25th International Conference on World Wide Web, 2016

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

Surface Reconstruction from Intensity Image Using Illumination Model Based Morphable Modeling.
Proceedings of the Computer Vision Systems - 10th International Conference, 2015

Modeling graphs using a mixture of Kronecker models.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Fraud Detection in Healthcare.
Proceedings of the Healthcare Data Analytics., 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

A reference based analysis framework for understanding anomaly detection techniques for symbolic sequences.
Data Min. Knowl. Discov., 2014

Development of a computational and data-enabled science and engineering Ph.D. program.
Proceedings of the Workshop on Education for High-Performance Computing, 2014

2013
Knowledge discovery from massive healthcare claims data.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Anomaly Detection for Discrete Sequences: A Survey.
IEEE Trans. Knowl. Data Eng., 2012

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

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

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

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

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

A reference based analysis framework for analyzing system call traces.
Proceedings of the 6th Cyber Security and Information Intelligence Research Workshop, 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

2009
Anomaly detection: A survey.
ACM Comput. Surv., 2009

A Framework for Exploring Categorical Data.
Proceedings of the SIAM International Conference on Data Mining, 2009

2008
Similarity Measures for Categorical Data: A Comparative Evaluation.
Proceedings of the SIAM International Conference on Data Mining, 2008

Comparative Evaluation of Anomaly Detection Techniques for Sequence Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Summarization - compressing data into an informative representation.
Knowl. Inf. Syst., 2007

DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing.
Proceedings of the Computational Science, 2007


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