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Vandana Pursnani Janeja
Person information
- affiliation: University of Maryland, Baltimore, MD, USA
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2020 – today
- 2024
- [j28]Prathamesh Walkikar, Lei Shi, Bayu Adhi Tama, Vandana P. Janeja
:
Discovery of multi-domain spatiotemporal associations. GeoInformatica 28(3): 353-379 (2024) - [j27]Christine Mallinson
, Vandana P. Janeja, Chloe Evered, Zahra Khanjani, Lavon Davis, Noshaba Nasir Bhalli, Kifekachukwu Nwosu:
A place for (socio)linguistics in audio deepfake detection and discernment: Opportunities for convergence and interdisciplinary collaboration. Lang. Linguistics Compass 18(5) (2024) - [c53]Vandana P. Janeja
, Maria Sanchez
, Yi Xuan Khoo
, Claudia von Vacano
, Lujie Karen Chen
:
Adopting Foundational Data Science Curriculum with Diverse Institutional Contexts. SIGCSE (1) 2024: 576-582 - [c52]Noshaba Bhalli
, Vandana Pursnani Janeja
, David Harding
:
Effects of Prior Academic Experience in Introductory Level Data Science Course. SIGCSE (2) 2024: 1576-1577 - [i6]Saydeh N. Karabatis, Vandana P. Janeja:
Narrative to Trajectory (N2T+): Extracting Routes of Life or Death from Human Trafficking Text Corpora. CoRR abs/2405.06129 (2024) - [i5]Saydeh N. Karabatis, Vandana P. Janeja:
Creating Geospatial Trajectories from Human Trafficking Text Corpora. CoRR abs/2405.06130 (2024) - [i4]Bayu Adhi Tama, Vandana Pursnani Janeja, Sanjay Purushotham:
Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. CoRR abs/2407.09535 (2024) - [i3]Tolulope Ale, Nicole-Jeanne Schlegel, Vandana P. Janeja:
Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold. CoRR abs/2407.10042 (2024) - 2023
- [c51]Atefeh Jebeli, Bayu Adhi Tama, Vandana P. Janeja, Nicholas Holschuh, Claire Jensen, Mathieu Morlighem, Joseph A. MacGregor, Mark A. Fahnestock:
TSSA: Two-Step Semi-Supervised Annotation for Radargrams on the Greenland Ice Sheet. IGARSS 2023: 56-59 - [c50]Naomi Tack, Bayu Adhi Tama, Atefeh Jebeli, Vandana P. Janeja, Don Engel
, Rebecca Williams
:
Metrics for the Quality and Consistency of Ice Layer Annotations. IGARSS 2023: 4935-4938 - [c49]Chhaya Kulkarni, Vandana P. Janeja, Nicole-Jeanne Schlegel:
Multi-Contextual Learning : Analyzing Melt Over the Greenland Ice Sheet. IGARSS 2023: 6736-6739 - [c48]Zahra Khanjani, Lavon Davis, Anna Tuz, Kifekachukwu Nwosu, Christine Mallinson, Vandana P. Janeja:
Learning to Listen and Listening to Learn: Spoofed Audio Detection Through Linguistic Data Augmentation. ISI 2023: 1-6 - 2022
- [j26]Zahra Khanjani, Gabrielle Watson, Vandana P. Janeja:
Audio deepfakes: A survey. Frontiers Big Data 5 (2022) - [j25]Prerna Mohod, Vandana P. Janeja
:
Density-Based Spatial Anomalous Window Discovery. Int. J. Data Warehous. Min. 18(1): 1-23 (2022) - [c47]Sahara Ali, Seraj Al Mahmud Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James Foulds, Vandana P. Janeja:
Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting. IGARSS 2022: 4654-4657 - 2021
- [j24]Faisal Quader, Vandana P. Janeja
:
Insights into Organizational Security Readiness: Lessons Learned from Cyber-Attack Case Studies. J. Cybersecur. Priv. 1(4): 638-659 (2021) - [p2]Chhaya Kulkarni, Sandipan Dey, Vandana P. Janeja:
Discovery of Robust Distributions of COVID-19 Spread. Use of AI, Robotics, and Modern Tools to Fight Covid-19 2021: 89-110 - [i2]Zahra Khanjani, Gabrielle Watson, Vandana P. Janeja:
How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey. CoRR abs/2111.14203 (2021) - [i1]Gabrielle Watson, Zahra Khanjani, Vandana P. Janeja:
Audio Deepfake Perceptions in College Going Populations. CoRR abs/2112.03351 (2021) - 2020
- [j23]James R. Clavin, Sisi Duan, Haibin Zhang, Vandana P. Janeja, Karuna P. Joshi, Yelena Yesha, Lucy C. Erickson, Justin D. Li:
Blockchains for Government: Use Cases and Challenges. Digit. Gov. Res. Pract. 1(3): 22:1-22:21 (2020) - [j22]Vandana P. Janeja
, Josephine M. Namayanja, Yelena Yesha, Anuja Kench, Vasundhara Misal:
Discovering Similarity Across Heterogeneous Features: A Case Study of Clinico-Genomic Analysis. Int. J. Data Warehous. Min. 16(4): 63-83 (2020) - [j21]Emre Eftelioglu, Shashi Shekhar, James Hudson, Lucas Joppa, Chaitanya K. Baru, Vandana P. Janeja:
Data Science for Earth: An Earth Day Report. SIGKDD Explor. 22(1): 4-7 (2020) - [j20]Henanksha Sainani, Josephine M. Namayanja
, Guneeti Sharma, Vasundhara Misal, Vandana P. Janeja:
IP Reputation Scoring with Geo-Contextual Feature Augmentation. ACM Trans. Manag. Inf. Syst. 11(4): 26:1-26:29 (2020)
2010 – 2019
- 2019
- [j19]Josephine M. Namayanja, Vandana P. Janeja
:
Change Detection in Large Evolving Networks. Int. J. Data Warehous. Min. 15(2): 62-79 (2019) - [c46]Mohammad Alodadi
, Vandana P. Janeja:
Linking Knowledge Discovery In Clinical Notes And Massive Biomedical Literature Repositories. BIBM 2019: 1174-1176 - [c45]Mohammad Alodadi
, Vandana P. Janeja
:
Clinical Entities Association Rules (CLEAR): Untangling Clinical Notes in Electronic Health Records. BIBM 2019: 2620-2627 - [c44]Abu Zaher Md Faridee, Vandana P. Janeja:
Measuring Peer Mentoring Effectiveness in Computing Courses: A Case Study in Data Analytics for Cybersecurity. HiPC Workshops 2019: 71-77 - [c43]Javad Zabihi, Vandana P. Janeja:
DeepNet: A Deep Learning Architecture for Network-Based Anomaly Detection. OTM Workshops 2019: 229-238 - [c42]Faisal Quader, Vandana P. Janeja:
Anomaly Detection: Under the [data] Hood in Smart Cars. SMARTCOMP 2019: 126-131 - 2018
- [j18]Vandana P. Janeja, Jay Gholap, Prathamesh Walkikar, Yelena Yesha, Naphtali Rishe, Michael A. Grasso
:
Collaborative data mining for clinical trial analytics. Intell. Data Anal. 22(3): 491-513 (2018) - [c41]Vandana P. Janeja, Abu Zaher Md Faridee, Aryya Gangopadhyay, Carolyn B. Seaman, Amy Everhart:
Enhancing Interest in Cybersecurity Careers: A Peer Mentoring Perspective. SIGCSE 2018: 384-389 - 2017
- [c40]Prathamesh Walkikar, Vandana P. Janeja:
PhenomenaAssociater: Linking Multi-domain Spatio-Temporal Datasets. DASFAA (2) 2017: 672-676 - [c39]Ali Azari, Vandana P. Janeja, Scott Levin:
MILES: multiclass imbalanced learning in ensembles through selective sampling. SAC 2017: 811-816 - [r3]Vandana P. Janeja, Nabil R. Adam:
Homeland Security and Spatial Data Mining. Encyclopedia of GIS 2017: 859-866 - [r2]Lei Shi, Vandana P. Janeja:
Linear-Shaped Scan Statistic. Encyclopedia of GIS 2017: 1123-1129 - 2016
- [c38]Vasundhara Misal, Vandana P. Janeja, Sai C. Pallaprolu, Yelena Yesha, Raghu Chintalapati:
Iterative unified clustering in big data. IEEE BigData 2016: 3412-3421 - [c37]Sai C. Pallaprolu, Josephine M. Namayanja, Vandana P. Janeja, C. T. Sai Adithya:
Label propagation in big data to detect remote access Trojans. IEEE BigData 2016: 3539-3547 - [c36]Vandana P. Janeja, Carolyn B. Seaman, Kerrie Kephart, Aryya Gangopadhyay, Amy Everhart:
Cybersecurity workforce development: A peer mentoring approach. ISI 2016: 267-272 - 2015
- [j17]Ruman Tambe, George Karabatis, Vandana P. Janeja:
Context aware discovery in web data through anomaly detection. Int. J. Web Eng. Technol. 10(1): 3-30 (2015) - [j16]Lei Shi, Aryya Gangopadhyay, Vandana P. Janeja:
STenSr: Spatio-temporal tensor streams for anomaly detection and pattern discovery. Knowl. Inf. Syst. 43(2): 333-353 (2015) - [c35]Anuja Kench, Vandana P. Janeja, Amanda Niskar, Yelena Yesha, Naphtali Rishe:
Clinico-genomic Decision Support System for Precision Diagnostics and Management. AMIA 2015 - [c34]Ali Azari, Vandana P. Janeja, Scott Levin:
Imbalanced learning to predict long stay Emergency Department patients. BIBM 2015: 807-814 - [c33]Jay Gholap, Vandana P. Janeja, Yelena Yesha, Raghu Chintalapati, Harsh Marwaha, Kunal Modi:
Collaborative data mining for clinical trial analytics. BIBM 2015: 1063-1069 - [c32]Akshay Grover, Jay Gholap, Vandana P. Janeja, Yelena Yesha, Raghu Chintalapati, Harsh Marwaha, Kunal Modi:
SQL-like big data environments: Case study in clinical trial analytics. IEEE BigData 2015: 2680-2689 - [c31]Jay Gholap, Vandana P. Janeja, Yelena Yesha:
Unified framework for clinical data analytics (U-CDA). IEEE BigData 2015: 2939-2941 - [c30]Yuanyuan Feng, Vandana Pursnani Janeja, Yelena Yesha, Naphtali Rishe, Michael A. Grasso
, Amanda Niskar:
Poster: Classifying primary outcomes in rheumatoid arthritis: Knowledge discovery from clinical trial metadata. ICCABS 2015: 1-2 - [c29]Anuja Kench, Vandana P. Janeja, Yelena Yesha, Naphtali Rishe, Michael A. Grasso
, Amanda Niskar:
Clinico-genomic Data Analytics for Precision Diagnosis and Disease Management. ICHI 2015: 263-271 - [c28]Mohammad Alodadi
, Vandana P. Janeja:
Similarity in Patient Support Forums Using TF-IDF and Cosine Similarity Metrics. ICHI 2015: 521-522 - [c27]Faisal Quader, Vandana Pursnani Janeja, Justin Stauffer:
Persistent threat pattern discovery. ISI 2015: 179-181 - [c26]Josephine M. Namayanja, Vandana Pursnani Janeja:
Change detection in evolving computer networks: Changes in densification and diameter over time. ISI 2015: 185-187 - 2014
- [j15]Michael P. McGuire
, Vandana Pursnani Janeja, Aryya Gangopadhyay:
Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets. Data Min. Knowl. Discov. 28(4): 961-1003 (2014) - [j14]Sandipan Dey, Vandana Pursnani Janeja, Aryya Gangopadhyay:
Discovery of temporal neighborhoods through discretization methods. Intell. Data Anal. 18(4): 609-636 (2014) - [j13]Song Chen, Vandana P. Janeja:
Human perspective to anomaly detection for cybersecurity. J. Intell. Inf. Syst. 42(1): 133-153 (2014) - [c25]Vandana Pursnani Janeja, Ali Azari, Josephine M. Namayanja, Brian Heilig:
B-dids: Mining anomalies in a Big-distributed Intrusion Detection System. IEEE BigData 2014: 32-34 - [c24]Josephine M. Namayanja, Vandana Pursnani Janeja:
Change detection in temporally evolving computer networks: A big data framework. IEEE BigData 2014: 54-61 - [c23]Yelena Yesha, Vandana Pursnani Janeja, Naphtali Rishe, Yaacov Yesha:
Personalized Decision Support System to Enhance Evidence Based Medicine through Big Data Analytics. ICHI 2014: 376 - 2013
- [j12]Lei Shi, Vandana Pursnani Janeja
:
Discovery of Anomalous Windows through a Robust Nonparametric Multivariate Scan Statistic (RMSS). Int. J. Data Warehous. Min. 9(1): 28-55 (2013) - [j11]Michael P. McGuire
, Vandana Pursnani Janeja, Aryya Gangopadhyay:
Mining sensor datasets with spatiotemporal neighborhoods. J. Spatial Inf. Sci. 6(1): 1-42 (2013) - [j10]Vandana Pursnani Janeja, Revathi Palanisamy:
Multi-domain anomaly detection in spatial datasets. Knowl. Inf. Syst. 36(3): 749-788 (2013) - [c22]Josephine M. Namayanja, Vandana Pursnani Janeja:
Discovery of persistent threat structures through temporal and geo-spatial characterization in evolving networks. ISI 2013: 191-196 - 2012
- [j9]Ali Azari, Vandana Pursnani Janeja
, Alex Mohseni:
Healthcare Data Mining: Predicting Hospital Length of Stay (PHLOS). Int. J. Knowl. Discov. Bioinform. 3(3): 44-66 (2012) - [c21]Michael P. McGuire
, Aryya Gangopadhyay, Vandana Pursnani Janeja:
Exploring multivariate spatio-temporal change in climate data using image analysis techniques. COM.Geo 2012: 13 - [c20]Yanan Sun, Vandana Pursnani Janeja, Michael P. McGuire
, Aryya Gangopadhyay:
TNeT: Tensor-Based Neighborhood Discovery in Traffic Networks. ICDE Workshops 2012: 331-336 - [c19]Ali Azari, Vandana Pursnani Janeja, Alex Mohseni:
Predicting Hospital Length of Stay (PHLOS): A Multi-tiered Data Mining Approach. ICDM Workshops 2012: 17-24 - 2011
- [j8]Josephine M. Namayanja, Vandana Pursnani Janeja
:
Subspace Discovery for Disease Management: A Case Study in Metabolic Syndrome. Int. J. Comput. Model. Algorithms Medicine 2(1): 38-59 (2011) - [j7]David M. Lewis, Vandana Pursnani Janeja
:
An Empirical Evaluation of Similarity Coefficients for Binary Valued Data. Int. J. Data Warehous. Min. 7(2): 44-66 (2011) - [j6]Vandana Pursnani Janeja, Aryya Gangopadhyay, Seyed H. Mohammadi, Revathi Palanisamy:
Discovery of anomalous spatio-temporal windows using discretized spatio-temporal scan statistics. Stat. Anal. Data Min. 4(3): 276-300 (2011) - [j5]Lei Shi, Vandana Pursnani Janeja:
Anomalous Window Discovery for Linear Intersecting Paths. IEEE Trans. Knowl. Data Eng. 23(12): 1857-1871 (2011) - [c18]Michael P. McGuire
, Vandana Pursnani Janeja, Aryya Gangopadhyay:
Characterizing sensor datasets with multi-granular spatio-temporal intervals. GIS 2011: 449-452 - 2010
- [j4]Vandana Pursnani Janeja, Nabil R. Adam, Vijayalakshmi Atluri
, Jaideep Vaidya:
Spatial neighborhood based anomaly detection in sensor datasets. Data Min. Knowl. Discov. 20(2): 221-258 (2010)
2000 – 2009
- 2009
- [j3]Vandana Pursnani Janeja, Vijayalakshmi Atluri
:
Spatial outlier detection in heterogeneous neighborhoods. Intell. Data Anal. 13(1): 85-107 (2009) - [j2]George Karabatis, Zhiyuan Chen, Vandana Pursnani Janeja, Tania Lobo, Monish Advani, Mikael Lindvall, Raimund L. Feldmann:
Using Semantic Networks and Context in Search for Relevant Software Engineering Artifacts. J. Data Semant. 14: 74-104 (2009) - [c17]Sandipan Dey, Vandana Pursnani Janeja, Aryya Gangopadhyay:
Temporal Neighborhood Discovery Using Markov Models. ICDM 2009: 110-119 - [c16]Lei Shi, Vandana Pursnani Janeja:
Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP). KDD 2009: 767-776 - [c15]Mikael Lindvall, Raimund L. Feldmann, George Karabatis, Zhiyuan Chen, Vandana Pursnani Janeja:
Searching for relevant software change artifacts using semantic networks. SAC 2009: 496-500 - [c14]Seyed H. Mohammadi, Vandana Pursnani Janeja, Aryya Gangopadhyay:
Discretized Spatio-Temporal Scan Window. SDM 2009: 1197-1208 - 2008
- [j1]Vandana Pursnani Janeja, Vijayalakshmi Atluri
:
Random Walks to Identify Anomalous Free-Form Spatial Scan Windows. IEEE Trans. Knowl. Data Eng. 20(10): 1378-1392 (2008) - [c13]Michael P. McGuire
, Vandana Pursnani Janeja, Aryya Gangopadhyay:
Spatiotemporal Neighborhood Discovery for Sensor Data. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 203-225 - [p1]Nabil R. Adam, Vandana P. Janeja, Aabhas V. Paliwal, Vijay Atluri, Soon Ae Chun, Jim Cooper, John Paczkowski, Christof Bornhövd, Joachim Schaper:
Semantics-Based Threat Structure Mining for Homeland Security. Digital Government 2008: 307-329 - [r1]Vandana Pursnani Janeja, Nabil R. Adam:
Homeland Security and Spatial Data Mining. Encyclopedia of GIS 2008: 434-440 - 2007
- [c12]Nabil R. Adam, Vandana Pursnani Janeja, Aabhas V. Paliwal, Basit Shafiq, Cédric Ulmer, Volker Gersabeck, Anne Hardy, Christof Bornhövd, Joachim Schaper:
Approach for Discovering and Handling Crisis in a Service-Oriented Environment. ISI 2007: 16-24 - 2006
- [c11]Nabil R. Adam, Vijayalakshmi Atluri
, Rey Koslowski, Robert Grossman, Vandana Pursnani Janeja, Janice Warner:
Secure interoperation for effective data mining in border control and homeland security applications. DG.O 2006: 124-125 - [c10]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:
Semantics-based threat structure mining. DG.O 2006: 367-368 - 2005
- [c9]Vandana Pursnani Janeja, Vijayalakshmi Atluri, Ahmed Gomaa, Nabil R. Adam, Christof Bornhövd, Tao Lin:
DM-AMS: employing data mining techniques for alert management. DG.O 2005: 103-111 - [c8]Nabil R. Adam, Vijayalakshmi Atluri, Rey Koslowski, Vandana Pursnani Janeja, Janice Warner, Aabhas V. Paliwal:
Agency interoperation for effective data mining in border control and homeland security applications. DG.O 2005: 285-286 - [c7]Vandana Pursnani Janeja, Vijayalakshmi Atluri
:
FS3: A Random Walk Based Free-Form Spatial Scan Statistic for Anomalous Window Detection. ICDM 2005: 661-664 - [c6]Vandana Pursnani Janeja, Vijayalakshmi Atluri
, Jaideep Vaidya, Nabil R. Adam:
Collusion Set Detection Through Outlier Discovery. ISI 2005: 1-13 - [c5]Vandana Pursnani Janeja, Vijayalakshmi Atluri
:
LS3: a Linear Semantic Scan Statistic technique for detecting anomalous windows. SAC 2005: 493-497 - 2004
- [c4]Nabil R. Adam, Vijayalakshmi Atluri, Vandana Pursnani Janeja:
Agency Interoperation for Effective Data Mining in Border Control and Homeland Security Applications. DG.O 2004 - [c3]Vandana Pursnani Janeja, Vijayalakshmi Atluri, Nabil R. Adam:
Detecting Anomalous Geospatial Trajectories through Spatial Characterization and Spatio-Semantic Associations. DG.O 2004 - [c2]Nabil R. Adam, Vandana Pursnani Janeja, Vijayalakshmi Atluri
:
Neighborhood based detection of anomalies in high dimensional spatio-temporal sensor datasets. SAC 2004: 576-583 - 2002
- [c1]Vandana Pursnani Janeja, Vijayalakshmi Atluri, Nabil R. Adam:
OUTLAW: Using Geo-Spatial Associations for Outlier Detection and Visual Analysisof Cargo Routes. DG.O 2002
Coauthor Index
aka: Vijay Atluri
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