Vandana Pursnani Janeja

Orcid: 0000-0003-0130-6135

Affiliations:
  • University of Maryland, Baltimore, MD, USA


According to our database1, Vandana Pursnani Janeja authored at least 96 papers between 2002 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Discovery of multi-domain spatiotemporal associations.
GeoInformatica, July, 2024

A place for (socio)linguistics in audio deepfake detection and discernment: Opportunities for convergence and interdisciplinary collaboration.
Lang. Linguistics Compass, 2024

ALDAS: Audio-Linguistic Data Augmentation for Spoofed Audio Detection.
CoRR, 2024

Investigating Causal Cues: Strengthening Spoofed Audio Detection with Human-Discernible Linguistic Features.
CoRR, 2024

Creating Geospatial Trajectories from Human Trafficking Text Corpora.
CoRR, 2024

Narrative to Trajectory (N2T+): Extracting Routes of Life or Death from Human Trafficking Text Corpora.
CoRR, 2024

Adopting Foundational Data Science Curriculum with Diverse Institutional Contexts.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Effects of Prior Academic Experience in Introductory Level Data Science Course.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics.
Proceedings of the IGARSS 2024, 2024

Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold.
Proceedings of the IGARSS 2024, 2024

Interactive Assessment of Variances of High-Resolution Model Features in Digital Twin Simulations.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

CMAD: Advancing Understanding of Geospatial Clusters of Anomalous Melt Events in Sea Ice Extent.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

2023
Learning to Listen and Listening to Learn: Spoofed Audio Detection Through Linguistic Data Augmentation.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023

Metrics for the Quality and Consistency of Ice Layer Annotations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Multi-Contextual Learning : Analyzing Melt Over the Greenland Ice Sheet.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

TSSA: Two-Step Semi-Supervised Annotation for Radargrams on the Greenland Ice Sheet.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Density-Based Spatial Anomalous Window Discovery.
Int. J. Data Warehous. Min., 2022

Audio deepfakes: A survey.
Frontiers Big Data, 2022

Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Insights into Organizational Security Readiness: Lessons Learned from Cyber-Attack Case Studies.
J. Cybersecur. Priv., November, 2021

Audio Deepfake Perceptions in College Going Populations.
CoRR, 2021

How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey.
CoRR, 2021

Discovery of Robust Distributions of COVID-19 Spread.
Proceedings of the Use of AI, Robotics, and Modern Tools to Fight Covid-19., 2021

2020
IP Reputation Scoring with Geo-Contextual Feature Augmentation.
ACM Trans. Manag. Inf. Syst., 2020

Data Science for Earth: An Earth Day Report.
SIGKDD Explor., 2020

Discovering Similarity Across Heterogeneous Features: A Case Study of Clinico-Genomic Analysis.
Int. J. Data Warehous. Min., 2020

Blockchains for Government: Use Cases and Challenges.
Digit. Gov. Res. Pract., 2020

2019
Change Detection in Large Evolving Networks.
Int. J. Data Warehous. Min., 2019

Anomaly Detection: Under the [data] Hood in Smart Cars.
Proceedings of the IEEE International Conference on Smart Computing, 2019

DeepNet: A Deep Learning Architecture for Network-Based Anomaly Detection.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2019 Workshops, 2019

Measuring Peer Mentoring Effectiveness in Computing Courses: A Case Study in Data Analytics for Cybersecurity.
Proceedings of the 26th International Conference on High Performance Computing, 2019

Clinical Entities Association Rules (CLEAR): Untangling Clinical Notes in Electronic Health Records.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Linking Knowledge Discovery In Clinical Notes And Massive Biomedical Literature Repositories.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Collaborative data mining for clinical trial analytics.
Intell. Data Anal., 2018

Enhancing Interest in Cybersecurity Careers: A Peer Mentoring Perspective.
Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

2017
Linear-Shaped Scan Statistic.
Proceedings of the Encyclopedia of GIS., 2017

Homeland Security and Spatial Data Mining.
Proceedings of the Encyclopedia of GIS., 2017

MILES: multiclass imbalanced learning in ensembles through selective sampling.
Proceedings of the Symposium on Applied Computing, 2017

PhenomenaAssociater: Linking Multi-domain Spatio-Temporal Datasets.
Proceedings of the Database Systems for Advanced Applications, 2017

2016
Cybersecurity workforce development: A peer mentoring approach.
Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

Label propagation in big data to detect remote access Trojans.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Iterative unified clustering in big data.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
STenSr: Spatio-temporal tensor streams for anomaly detection and pattern discovery.
Knowl. Inf. Syst., 2015

Context aware discovery in web data through anomaly detection.
Int. J. Web Eng. Technol., 2015

Persistent threat pattern discovery.
Proceedings of the 2015 IEEE International Conference on Intelligence and Security Informatics, 2015

Change detection in evolving computer networks: Changes in densification and diameter over time.
Proceedings of the 2015 IEEE International Conference on Intelligence and Security Informatics, 2015

Clinico-genomic Data Analytics for Precision Diagnosis and Disease Management.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Similarity in Patient Support Forums Using TF-IDF and Cosine Similarity Metrics.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Poster: Classifying primary outcomes in rheumatoid arthritis: Knowledge discovery from clinical trial metadata.
Proceedings of the 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2015

SQL-like big data environments: Case study in clinical trial analytics.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Unified framework for clinical data analytics (U-CDA).
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Collaborative data mining for clinical trial analytics.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Imbalanced learning to predict long stay Emergency Department patients.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Clinico-genomic Decision Support System for Precision Diagnostics and Management.
Proceedings of the AMIA 2015, 2015

2014
Human perspective to anomaly detection for cybersecurity.
J. Intell. Inf. Syst., 2014

Discovery of temporal neighborhoods through discretization methods.
Intell. Data Anal., 2014

Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets.
Data Min. Knowl. Discov., 2014

Personalized Decision Support System to Enhance Evidence Based Medicine through Big Data Analytics.
Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014

Change detection in temporally evolving computer networks: A big data framework.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

B-dids: Mining anomalies in a Big-distributed Intrusion Detection System.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Multi-domain anomaly detection in spatial datasets.
Knowl. Inf. Syst., 2013

Mining sensor datasets with spatiotemporal neighborhoods.
J. Spatial Inf. Sci., 2013

Discovery of Anomalous Windows through a Robust Nonparametric Multivariate Scan Statistic (RMSS).
Int. J. Data Warehous. Min., 2013

Discovery of persistent threat structures through temporal and geo-spatial characterization in evolving networks.
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

2012
Healthcare Data Mining: Predicting Hospital Length of Stay (PHLOS).
Int. J. Knowl. Discov. Bioinform., 2012

Predicting Hospital Length of Stay (PHLOS): A Multi-tiered Data Mining Approach.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

TNeT: Tensor-Based Neighborhood Discovery in Traffic Networks.
Proceedings of the Workshops Proceedings of the IEEE 28th International Conference on Data Engineering, 2012

Exploring multivariate spatio-temporal change in climate data using image analysis techniques.
Proceedings of the 3rd International Conference on Computing for Geospatial Research and Application, 2012

2011
Anomalous Window Discovery for Linear Intersecting Paths.
IEEE Trans. Knowl. Data Eng., 2011

Discovery of anomalous spatio-temporal windows using discretized spatio-temporal scan statistics.
Stat. Anal. Data Min., 2011

An Empirical Evaluation of Similarity Coefficients for Binary Valued Data.
Int. J. Data Warehous. Min., 2011

Subspace Discovery for Disease Management: A Case Study in Metabolic Syndrome.
Int. J. Comput. Model. Algorithms Medicine, 2011

Characterizing sensor datasets with multi-granular spatio-temporal intervals.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

2010
Spatial neighborhood based anomaly detection in sensor datasets.
Data Min. Knowl. Discov., 2010

2009
Using Semantic Networks and Context in Search for Relevant Software Engineering Artifacts.
J. Data Semant., 2009

Spatial outlier detection in heterogeneous neighborhoods.
Intell. Data Anal., 2009

Discretized Spatio-Temporal Scan Window.
Proceedings of the SIAM International Conference on Data Mining, 2009

Searching for relevant software change artifacts using semantic networks.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP).
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Temporal Neighborhood Discovery Using Markov Models.
Proceedings of the ICDM 2009, 2009

2008
Homeland Security and Spatial Data Mining.
Proceedings of the Encyclopedia of GIS., 2008

Random Walks to Identify Anomalous Free-Form Spatial Scan Windows.
IEEE Trans. Knowl. Data Eng., 2008

Spatiotemporal Neighborhood Discovery for Sensor Data.
Proceedings of the Knowledge Discovery from Sensor Data, 2008

Semantics-Based Threat Structure Mining for Homeland Security.
Proceedings of the Digital Government: E-Government Research, 2008

2007
Approach for Discovering and Handling Crisis in a Service-Oriented Environment.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2007

2006
Secure interoperation for effective data mining in border control and homeland security applications.
Proceedings of the 7th Annual International Conference on Digital Government Research, 2006

Semantics-based threat structure mining.
Proceedings of the 7th Annual International Conference on Digital Government Research, 2006

2005
LS<sup>3</sup>: a Linear Semantic Scan Statistic technique for detecting anomalous windows.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Collusion Set Detection Through Outlier Discovery.
Proceedings of the Intelligence and Security Informatics, 2005

FS<sup>3</sup>: A Random Walk Based Free-Form Spatial Scan Statistic for Anomalous Window Detection.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

DM-AMS: employing data mining techniques for alert management.
Proceedings of the 2005 National Conference on Digital Government Research, 2005

Agency interoperation for effective data mining in border control and homeland security applications.
Proceedings of the 2005 National Conference on Digital Government Research, 2005

2004
Neighborhood based detection of anomalies in high dimensional spatio-temporal sensor datasets.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Detecting Anomalous Geospatial Trajectories through Spatial Characterization and Spatio-Semantic Associations.
Proceedings of the 2004 Annual National Conference on Digital Government Research, 2004

Agency Interoperation for Effective Data Mining in Border Control and Homeland Security Applications.
Proceedings of the 2004 Annual National Conference on Digital Government Research, 2004

2002
OUTLAW: Using Geo-Spatial Associations for Outlier Detection and Visual Analysisof Cargo Routes.
Proceedings of the 2002 Annual National Conference on Digital Government Research, 2002


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