OUTLAW: Using Geo-Spatial Associations for Outlier Detection and Visual Analysisof Cargo Routes. - Vandana Pursnani Janeja; Vijayalakshmi Atluri; Nabil R. Adam (DG.O, 2002)

Agency Interoperation for Effective Data Mining in Border Control and Homeland Security Applications. - Nabil R. Adam; Vijayalakshmi Atluri; Vandana Pursnani Janeja (DG.O, 2004)

Detecting Anomalous Geospatial Trajectories through Spatial Characterization and Spatio-Semantic Associations. - Vandana Pursnani Janeja; Vijayalakshmi Atluri; Nabil R. Adam (DG.O, 2004)

Neighborhood based detection of anomalies in high dimensional spatio-temporal sensor datasets. - Nabil R. Adam; Vandana Pursnani Janeja; Vijayalakshmi Atluri (SAC, 2004)

Agency interoperation for effective data mining in border control and homeland security applications. - Nabil R. Adam; Vijayalakshmi Atluri; Rey Koslowski; Vandana Pursnani Janeja; Janice Warner; Aabhas V. Paliwal (DG.O, 2005)

DM-AMS: employing data mining techniques for alert management. - Vandana Pursnani Janeja; Vijayalakshmi Atluri; Ahmed Gomaa; Nabil R. Adam; Christof Bornhövd; Tao Lin (DG.O, 2005)

FS3: A Random Walk Based Free-Form Spatial Scan Statistic for Anomalous Window Detection. - Vandana Pursnani Janeja; Vijayalakshmi Atluri (ICDM, 2005)

Collusion Set Detection Through Outlier Discovery. - Vandana Pursnani Janeja; Vijayalakshmi Atluri; Jaideep Vaidya; Nabil R. Adam (ISI, 2005)

LS3: a Linear Semantic Scan Statistic technique for detecting anomalous windows. - Vandana Pursnani Janeja; Vijayalakshmi Atluri (SAC, 2005)

Semantics-based threat structure mining. - Nabil R. Adam; Vijayalakshmi Atluri; Vandana Pursnani Janeja; Aabhas V. Paliwal; Mahmoud Youssef; Soon Ae Chun; Jim Cooper; John Paczkowski; Christof Bornhövd; Ike Nassi; Joachim Schaper (DG.O, 2006)

Secure interoperation for effective data mining in border control and homeland security applications. - Nabil R. Adam; Vijayalakshmi Atluri; Rey Koslowski; Robert Grossman; Vandana Pursnani Janeja; Janice Warner (DG.O, 2006)

Approach for Discovering and Handling Crisis in a Service-Oriented Environment. - Nabil R. Adam; Vandana Pursnani Janeja; Aabhas V. Paliwal; Basit Shafiq; Cédric Ulmer; Volker Gersabeck; Anne Hardy; Christof Bornhövd; Joachim Schaper (ISI, 2007)

Semantics-Based Threat Structure Mining for Homeland Security. - Nabil R. Adam; Vandana P. Janeja; Aabhas V. Paliwal; Vijay Atluri; Soon Ae Chun; Jim Cooper; John Paczkowski; Christof Bornhövd; Joachim Schaper (Digital Government, 2008)

Spatiotemporal Neighborhood Discovery for Sensor Data. - Michael P. McGuire; Vandana Pursnani Janeja; Aryya Gangopadhyay (KDD Workshop on Knowledge Discovery from Sensor Data, 2008)

Random Walks to Identify Anomalous Free-Form Spatial Scan Windows. - Vandana Pursnani Janeja; Vijayalakshmi Atluri (IEEE Trans. Knowl. Data Eng., 2008)

Homeland Security and Spatial Data Mining. - Vandana Pursnani Janeja; Nabil R. Adam (Encyclopedia of GIS, 2008)

Temporal Neighborhood Discovery Using Markov Models. - Sandipan Dey; Vandana Pursnani Janeja; Aryya Gangopadhyay (ICDM, 2009)

Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP). - Lei Shi; Vandana Pursnani Janeja (KDD, 2009)

Searching for relevant software change artifacts using semantic networks. - Mikael Lindvall; Raimund L. Feldmann; George Karabatis; Zhiyuan Chen 003; Vandana Pursnani Janeja (SAC, 2009)

Discretized Spatio-Temporal Scan Window. - Seyed H. Mohammadi; Vandana Pursnani Janeja; Aryya Gangopadhyay (SDM, 2009)

Spatial outlier detection in heterogeneous neighborhoods. - Vandana Pursnani Janeja; Vijayalakshmi Atluri (Intell. Data Anal., 2009)

Using Semantic Networks and Context in Search for Relevant Software Engineering Artifacts. - George Karabatis; Zhiyuan Chen 003; Vandana Pursnani Janeja; Tania Lobo; Monish Advani; Mikael Lindvall; Raimund L. Feldmann (J. Data Semant., 2009)

Spatial neighborhood based anomaly detection in sensor datasets. - Vandana Pursnani Janeja; Nabil R. Adam; Vijayalakshmi Atluri; Jaideep Vaidya (Data Min. Knowl. Discov., 2010)

Characterizing sensor datasets with multi-granular spatio-temporal intervals. - Michael P. McGuire; Vandana Pursnani Janeja; Aryya Gangopadhyay (GIS, 2011)

Subspace Discovery for Disease Management: A Case Study in Metabolic Syndrome. - Josephine M. Namayanja; Vandana Pursnani Janeja (Int. J. Comput. Model. Algorithms Medicine, 2011)

An Empirical Evaluation of Similarity Coefficients for Binary Valued Data. - David M. Lewis; Vandana Pursnani Janeja (Int. J. Data Warehous. Min., 2011)

Discovery of anomalous spatio-temporal windows using discretized spatio-temporal scan statistics. - Vandana Pursnani Janeja; Aryya Gangopadhyay; Seyed H. Mohammadi; Revathi Palanisamy (Stat. Anal. Data Min., 2011)

Anomalous Window Discovery for Linear Intersecting Paths. - Lei Shi; Vandana Pursnani Janeja (IEEE Trans. Knowl. Data Eng., 2011)

Exploring multivariate spatio-temporal change in climate data using image analysis techniques. - Michael P. McGuire; Aryya Gangopadhyay; Vandana Pursnani Janeja (COM.Geo, 2012)

TNeT: Tensor-Based Neighborhood Discovery in Traffic Networks. - Yanan Sun; Vandana Pursnani Janeja; Michael P. McGuire; Aryya Gangopadhyay (ICDE Workshops, 2012)

Predicting Hospital Length of Stay (PHLOS): A Multi-tiered Data Mining Approach. - Ali Azari; Vandana Pursnani Janeja; Alex Mohseni (ICDM Workshops, 2012)

Healthcare Data Mining: Predicting Hospital Length of Stay (PHLOS). - Ali Azari; Vandana Pursnani Janeja; Alex Mohseni (Int. J. Knowl. Discov. Bioinform., 2012)

Discovery of persistent threat structures through temporal and geo-spatial characterization in evolving networks. - Josephine M. Namayanja; Vandana Pursnani Janeja (ISI, 2013)

Discovery of Anomalous Windows through a Robust Nonparametric Multivariate Scan Statistic (RMSS). - Lei Shi; Vandana Pursnani Janeja (Int. J. Data Warehous. Min., 2013)

Mining sensor datasets with spatiotemporal neighborhoods. - Michael P. McGuire; Vandana Pursnani Janeja; Aryya Gangopadhyay (J. Spatial Inf. Sci., 2013)

Multi-domain anomaly detection in spatial datasets. - Vandana Pursnani Janeja; Revathi Palanisamy (Knowl. Inf. Syst., 2013)

B-dids: Mining anomalies in a Big-distributed Intrusion Detection System. - Vandana Pursnani Janeja; Ali Azari; Josephine M. Namayanja; Brian Heilig (IEEE BigData, 2014)

Change detection in temporally evolving computer networks: A big data framework. - Josephine M. Namayanja; Vandana Pursnani Janeja (IEEE BigData, 2014)

Personalized Decision Support System to Enhance Evidence Based Medicine through Big Data Analytics. - Yelena Yesha; Vandana Pursnani Janeja; Naphtali Rishe; Yaacov Yesha (ICHI, 2014)

Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets. - Michael P. McGuire; Vandana Pursnani Janeja; Aryya Gangopadhyay (Data Min. Knowl. Discov., 2014)

Discovery of temporal neighborhoods through discretization methods. - Sandipan Dey; Vandana Pursnani Janeja; Aryya Gangopadhyay (Intell. Data Anal., 2014)

Human perspective to anomaly detection for cybersecurity. - Song Chen; Vandana P. Janeja (J. Intell. Inf. Syst., 2014)

Clinico-genomic Decision Support System for Precision Diagnostics and Management. - Anuja Kench; Vandana P. Janeja; Amanda Niskar; Yelena Yesha; Naphtali Rishe (AMIA, 2015)

Imbalanced learning to predict long stay Emergency Department patients. - Ali Azari; Vandana P. Janeja; Scott Levin (BIBM, 2015)

Collaborative data mining for clinical trial analytics. - Jay Gholap; Vandana P. Janeja; Yelena Yesha; Raghu Chintalapati; Harsh Marwaha; Kunal Modi (BIBM, 2015)

Unified framework for clinical data analytics (U-CDA). - Jay Gholap; Vandana P. Janeja; Yelena Yesha (IEEE BigData, 2015)

SQL-like big data environments: Case study in clinical trial analytics. - Akshay Grover; Jay Gholap; Vandana P. Janeja; Yelena Yesha; Raghu Chintalapati; Harsh Marwaha; Kunal Modi (IEEE BigData, 2015)

Poster: Classifying primary outcomes in rheumatoid arthritis: Knowledge discovery from clinical trial metadata. - Yuanyuan Feng; Vandana Pursnani Janeja; Yelena Yesha; Naphtali Rishe; Michael A. Grasso; Amanda Niskar (ICCABS, 2015)

Similarity in Patient Support Forums Using TF-IDF and Cosine Similarity Metrics. - Mohammad Alodadi; Vandana P. Janeja (ICHI, 2015)

Clinico-genomic Data Analytics for Precision Diagnosis and Disease Management. - Anuja Kench; Vandana P. Janeja; Yelena Yesha; Naphtali Rishe; Michael A. Grasso; Amanda Niskar (ICHI, 2015)

Change detection in evolving computer networks: Changes in densification and diameter over time. - Josephine M. Namayanja; Vandana Pursnani Janeja (ISI, 2015)

Persistent threat pattern discovery. - Faisal Quader; Vandana Pursnani Janeja; Justin Stauffer (ISI, 2015)

Context aware discovery in web data through anomaly detection. - Ruman Tambe; George Karabatis; Vandana P. Janeja (Int. J. Web Eng. Technol., 2015)

STenSr: Spatio-temporal tensor streams for anomaly detection and pattern discovery. - Lei Shi; Aryya Gangopadhyay; Vandana P. Janeja (Knowl. Inf. Syst., 2015)

Iterative unified clustering in big data. - Vasundhara Misal; Vandana P. Janeja; Sai C. Pallaprolu; Yelena Yesha; Raghu Chintalapati (IEEE BigData, 2016)

Label propagation in big data to detect remote access Trojans. - Sai C. Pallaprolu; Josephine M. Namayanja; Vandana P. Janeja; C. T. Sai Adithya (IEEE BigData, 2016)

Cybersecurity workforce development: A peer mentoring approach. - Vandana P. Janeja; Carolyn B. Seaman; Kerrie Kephart; Aryya Gangopadhyay; Amy Everhart (ISI, 2016)

PhenomenaAssociater: Linking Multi-domain Spatio-Temporal Datasets. - Prathamesh Walkikar; Vandana P. Janeja (DASFAA (2), 2017)

MILES: multiclass imbalanced learning in ensembles through selective sampling. - Ali Azari; Vandana P. Janeja; Scott Levin (SAC, 2017)

Homeland Security and Spatial Data Mining. - Vandana P. Janeja; Nabil R. Adam (Encyclopedia of GIS, 2017)

Linear-Shaped Scan Statistic. - Lei Shi; Vandana P. Janeja (Encyclopedia of GIS, 2017)

Enhancing Interest in Cybersecurity Careers: A Peer Mentoring Perspective. - Vandana P. Janeja; Abu Zaher Md Faridee; Aryya Gangopadhyay; Carolyn B. Seaman; Amy Everhart (SIGCSE, 2018)

Collaborative data mining for clinical trial analytics. - Vandana P. Janeja; Jay Gholap; Prathamesh Walkikar; Yelena Yesha; Naphtali Rishe; Michael A. Grasso (Intell. Data Anal., 2018)

Linking Knowledge Discovery In Clinical Notes And Massive Biomedical Literature Repositories. - Mohammad Alodadi; Vandana P. Janeja (BIBM, 2019)

Clinical Entities Association Rules (CLEAR): Untangling Clinical Notes in Electronic Health Records. - Mohammad Alodadi; Vandana P. Janeja (BIBM, 2019)

Measuring Peer Mentoring Effectiveness in Computing Courses: A Case Study in Data Analytics for Cybersecurity. - Abu Zaher Md Faridee; Vandana P. Janeja (HiPC Workshops, 2019)

DeepNet: A Deep Learning Architecture for Network-Based Anomaly Detection. - Javad Zabihi; Vandana P. Janeja (OTM Workshops, 2019)

Anomaly Detection: Under the [data] Hood in Smart Cars. - Faisal Quader; Vandana P. Janeja (SMARTCOMP, 2019)

Change Detection in Large Evolving Networks. - Josephine M. Namayanja; Vandana P. Janeja (Int. J. Data Warehous. Min., 2019)

Blockchains for Government: Use Cases and Challenges. - James R. Clavin; Sisi Duan; Haibin Zhang; Vandana P. Janeja; Karuna P. Joshi; Yelena Yesha; Lucy C. Erickson; Justin D. Li (Digit. Gov. Res. Pract., 2020)

Discovering Similarity Across Heterogeneous Features: A Case Study of Clinico-Genomic Analysis. - Vandana P. Janeja; Josephine M. Namayanja; Yelena Yesha; Anuja Kench; Vasundhara Misal (Int. J. Data Warehous. Min., 2020)

Data Science for Earth: An Earth Day Report. - Emre Eftelioglu; Shashi Shekhar 001; James Hudson; Lucas Joppa; Chaitanya K. Baru; Vandana P. Janeja (SIGKDD Explor., 2020)

IP Reputation Scoring with Geo-Contextual Feature Augmentation. - Henanksha Sainani; Josephine M. Namayanja; Guneeti Sharma; Vasundhara Misal; Vandana P. Janeja (ACM Trans. Manag. Inf. Syst., 2020)

Discovery of Robust Distributions of COVID-19 Spread. - Chhaya Kulkarni; Sandipan Dey; Vandana P. Janeja (Use of AI, Robotics, and Modern Tools to Fight Covid-19, 2021)

How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey. - Zahra Khanjani; Gabrielle Watson; Vandana P. Janeja (CoRR, 2021)

Audio Deepfake Perceptions in College Going Populations. - Gabrielle Watson; Zahra Khanjani; Vandana P. Janeja (CoRR, 2021)

Insights into Organizational Security Readiness: Lessons Learned from Cyber-Attack Case Studies. - Faisal Quader; Vandana P. Janeja (J. Cybersecur. Priv., 2021)

Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting. - Sahara Ali; Seraj Al Mahmud Mostafa; Xingyan Li; Sara Khanjani; Jianwu Wang 001; James R. Foulds; Vandana P. Janeja (IGARSS, 2022)

Audio deepfakes: A survey. - Zahra Khanjani; Gabrielle Watson; Vandana P. Janeja (Frontiers Big Data, 2022)

Density-Based Spatial Anomalous Window Discovery. - Prerna Mohod; Vandana P. Janeja (Int. J. Data Warehous. Min., 2022)

TSSA: Two-Step Semi-Supervised Annotation for Radargrams on the Greenland Ice Sheet. - Atefeh Jebeli; Bayu Adhi Tama; Vandana P. Janeja; Nicholas Holschuh; Claire Jensen; Mathieu Morlighem; Joseph A. MacGregor; Mark A. Fahnestock (IGARSS, 2023)

Multi-Contextual Learning : Analyzing Melt Over the Greenland Ice Sheet. - Chhaya Kulkarni; Vandana P. Janeja; Nicole-Jeanne Schlegel (IGARSS, 2023)

Metrics for the Quality and Consistency of Ice Layer Annotations. - Naomi Tack; Bayu Adhi Tama; Atefeh Jebeli; Vandana P. Janeja; Don Engel; Rebecca Williams (IGARSS, 2023)

Learning to Listen and Listening to Learn: Spoofed Audio Detection Through Linguistic Data Augmentation. - Zahra Khanjani; Lavon Davis; Anna Tuz; Kifekachukwu Nwosu; Christine Mallinson; Vandana P. Janeja (ISI, 2023)

Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data. - Francis Ndikum Nji; Omar Faruque; Mostafa Cham; Vandana P. Janeja; Jianwu Wang 001 (IEEE Big Data, 2024)

CMAD: Advancing Understanding of Geospatial Clusters of Anomalous Melt Events in Sea Ice Extent. - Maloy Kumar Devnath; Sudip Chakraborty; Vandana P. Janeja (SIGSPATIAL/GIS, 2024)

Interactive Assessment of Variances of High-Resolution Model Features in Digital Twin Simulations. - Chhaya Kulkarni; Nikki Privé; Vandana P. Janeja (SIGSPATIAL/GIS, 2024)

Physics-Informed Machine Learning for Sea Ice Thickness Prediction. - Akila Sampath; Omar Faruque; Azim Khan; Vandana P. Janeja; Jianwu Wang 001 (ICKG, 2024)

SEATTNET: UNET Enhanced with Squeeze-Excited Attention Gates for Ice-Calving Front Segmentation. - Rohan Putatunda; Sanjay Purushotham; Vandana P. Janeja (ICMLA, 2024)

Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold. - Tolulope Ale; Vandana P. Janeja; Nicole-Jeanne Schlegel (IGARSS, 2024)

Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. - Bayu Adhi Tama; Vandana P. Janeja; Sanjay Purushotham (IGARSS, 2024)

Effects of Prior Academic Experience in Introductory Level Data Science Course. - Noshaba Nasir Bhalli; Vandana Pursnani Janeja; David Harding (SIGCSE (2), 2024)

Adopting Foundational Data Science Curriculum with Diverse Institutional Contexts. - Vandana P. Janeja; Maria Sanchez; Yi Xuan Khoo; Claudia von Vacano; Lujie Karen Chen (SIGCSE (1), 2024)

Narrative to Trajectory (N2T+): Extracting Routes of Life or Death from Human Trafficking Text Corpora. - Saydeh N. Karabatis; Vandana P. Janeja (CoRR, 2024)

Creating Geospatial Trajectories from Human Trafficking Text Corpora. - Saydeh N. Karabatis; Vandana P. Janeja (CoRR, 2024)

Investigating Causal Cues: Strengthening Spoofed Audio Detection with Human-Discernible Linguistic Features. - Zahra Khanjani; Tolulope Ale; Jianwu Wang 001; Lavon Davis; Christine Mallinson; Vandana P. Janeja (CoRR, 2024)

ALDAS: Audio-Linguistic Data Augmentation for Spoofed Audio Detection. - Zahra Khanjani; Christine Mallinson; James R. Foulds; Vandana P. Janeja (CoRR, 2024)

Toward Transdisciplinary Approaches to Audio Deepfake Discernment. - Vandana P. Janeja; Christine Mallinson (CoRR, 2024)

Listening for Expert Identified Linguistic Features: Assessment of Audio Deepfake Discernment among Undergraduate Students. - Noshaba Nasir Bhalli; Nehal Naqvi; Chloe Evered; Christine Mallinson; Vandana P. Janeja (CoRR, 2024)

A place for (socio)linguistics in audio deepfake detection and discernment: Opportunities for convergence and interdisciplinary collaboration. - Christine Mallinson; Vandana P. Janeja; Chloe Evered; Zahra Khanjani; Lavon Davis; Noshaba Nasir Bhalli; Kifekachukwu Nwosu (Lang. Linguistics Compass, 2024)

Discovery of multi-domain spatiotemporal associations. - Prathamesh Walkikar; Lei Shi; Bayu Adhi Tama; Vandana P. Janeja (GeoInformatica, 2024)

MorphoLayerTrace (MLT): A Modified Automated Radio-Echo Sounding Englacial Layer-tracing Algorithm for Englacial Layer Annotation in Ice Penetrating Radar Data. - Bayu Adhi Tama; Sanjay Purushotham; Vandana P. Janeja (SAC, 2025)

Blue Sky: Expert-in-the-Loop Representation Learning Framework for Audio Anti-Spoofing: Multimodal, Multilingual, Multi-speaker, Multi-attack (4M) Scenarios. - Zahra Khanjani; Vandana P. Janeja; Christine Mallinson; Sanjay Purushotham (SDM, 2025)

Engaging K-12 Learners in Data Annotation for AI Climate Models. - Michael MacFerrin; Edward Boyda; Kimberly Young; Josephine M. Namayanja; Aneesh Subramanian; Mohamed F. Mokbel; Lujie Karen Chen; Vandana P. Janeja (SIGCSE (2), 2025)

Anomaly Detection Using Graph Deviation Networks Within Spatiotemporal Neighborhoods: A Case Study in Greenland. - Chhaya Kulkarni; Bayu Adhi Tama; Nicole-Jeanne Schlegel; Vandana P. Janeja (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Advancing climate model interpretability: Feature attribution for Arctic melt anomalies. - Tolulope Ale; Nicole-Jeanne Schlegel; Vandana P. Janeja (CoRR, 2025)

Building Machine Learning Challenges for Anomaly Detection in Science. - Elizabeth G. Campolongo; Yuan-Tang Chou; Ekaterina Govorkova; Wahid Bhimji; Wei-Lun Chao; Chris Harris; Shih-Chieh Hsu; Hilmar Lapp; Mark S. Neubauer; Josephine M. Namayanja; Aneesh Subramanian; Philip C. Harris; et al. (CoRR, 2025)

DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets. - Bayu Adhi Tama; Mansa Krishna; Homayra Alam; Mostafa Cham; Omar Faruque; Gong Cheng; Jianwu Wang 001; Mathieu Morlighem; Vandana Pursnani Janeja (CoRR, 2025)

IDRIFTNET: Physics-Driven Spatiotemporal Deep Learning for Iceberg Drift Forecasting. - Rohan Putatunda; Sanjay Purushotham; Ratnaksha Lele; Vandana P. Janeja (CoRR, 2025)

Modeling Heterogeneity across Varying Spatial Extents: Discovering Linkages between Sea Ice Retreat and Ice Shelve Melt in the Antarctic. - Maloy Kumar Devnath; Sudip Chakraborty; Vandana P. Janeja (CoRR, 2025)