Vandana Janeja

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Vijayalakshmi AtluriDistinguished Professor of Information Systems, Rutgers UniverstiyEmail verificata su rutgers.edu
Nabil AdamRutgers UniversityEmail verificata su adam.rutgers.edu
Aryya GangopadhyayProfessor, Information Systems, Affiliate Professor CSEE, UMBCEmail verificata su umbc.edu
Yelena YeshaUniversity of Maryland, Baltimore CountyEmail verificata su umbc.edu
Zahra (Sara) KhanjaniUMBCEmail verificata su umbc.edu
Michael McGuireProfessor, Chair, Department of Computer and Information Sciences, Towson UniversityEmail verificata su towson.edu
Mohammad S AlodadiLeidos Biomedical Research, Inc./Frederick National Laboratory for Cancer Research (NCI/NIH)Email verificata su nih.gov
Chhaya KulkarniUniversity of Maryland, Baltimore CountyEmail verificata su umbc.edu
Lucy C EricksonGoogleEmail verificata su google.com
Christine MallinsonProfessor, University of Maryland-Baltimore CountyEmail verificata su umbc.edu
Jaideep VaidyaDistinguished Professor, Rutgers UniversityEmail verificata su business.rutgers.edu
Zhiyuan ChenProfessor of Information Systems, University of Maryland Baltimore CountyEmail verificata su umbc.edu
Sandipan DeyData ScientistEmail verificata su umbc.edu
Sudip ChakrabortyJet Propulsion Laboratory, NASAEmail verificata su jpl.nasa.gov
Mathieu MorlighemProfessor, DartmouthEmail verificata su dartmouth.edu
Nicholas HolschuhAssistant Professor of Geology - Amherst CollegeEmail verificata su amherst.edu
Maloy Kumar DevnathPh.D. Researcher in iHARP, University of Maryland, Baltimore CountyEmail verificata su umbc.edu
Rohan PUTATUNDADoctoral Student at UMBCEmail verificata su umbc.edu

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Vandana Janeja

Professor of Information Systems, University of Maryland, Baltimore County

Email verificata su umbc.edu

data mining anomalous windows spatio-temporal data mining


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Neighborhood based detection of anomalies in high dimensional spatio-temporal sensor datasets NR Adam, VP Janeja, V Atluri Proceedings of the 2004 ACM symposium on Applied computing, 576-583, 2004	110	2004
Predicting hospital length of stay (phlos): A multi-tiered data mining approach A Azari, VP Janeja, A Mohseni 2012 IEEE 12th international conference on data mining workshops, 17-24, 2012	81	2012
Blockchains for government: use cases and challenges J Clavin, S Duan, H Zhang, VP Janeja, KP Joshi, Y Yesha, LC Erickson, ... Digital Government: Research and Practice 1 (3), 1-21, 2020	77	2020
Data analytics for cybersecurity VP Janeja Cambridge University Press, 2022	67	2022
Similarity in patient support forums using TF-IDF and cosine similarity metrics M Alodadi, VP Janeja 2015 International Conference on Healthcare Informatics, 521-522, 2015	65	2015
Audio deepfakes: A survey Z Khanjani, G Watson, VP Janeja Frontiers in Big Data 5, 1001063, 2023	62	2023
Comparison of tri-axial accelerometers step-count accuracy in slow walking conditions Y Feng, CK Wong, V Janeja, R Kuber, HM Mentis Gait & posture 53, 11-16, 2017	53	2017
Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP) L Shi, VP Janeja Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	36	2009
Insights into organizational security readiness: Lessons learned from cyber-attack case studies F Quader, VP Janeja Journal of Cybersecurity and Privacy 1 (4), 638-659, 2021	35	2021
Random walks to identify anomalous free-form spatial scan windows VP Janeja, V Atluri IEEE Transactions on Knowledge and Data Engineering 20 (10), 1378-1392, 2008	35	2008
STenSr: Spatio-temporal tensor streams for anomaly detection and pattern discovery L Shi, A Gangopadhyay, VP Janeja Knowledge and Information Systems 43, 333-353, 2015	34	2015
Multi-domain anomaly detection in spatial datasets VP Janeja, R Palanisamy Knowledge and information systems 36, 749-788, 2013	32	2013
How deep are the fakes? focusing on audio deepfake: A survey Z Khanjani, G Watson, VP Janeja arXiv preprint arXiv:2111.14203, 2021	29	2021
Spatial neighborhood based anomaly detection in sensor datasets VP Janeja, NR Adam, V Atluri, J Vaidya Data mining and knowledge discovery 20 (2), 221-258, 2010	28	2010
Imbalanced learning to predict long stay Emergency Department patients A Azari, VP Janeja, S Levin 2015 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2015	27	2015
B-dids: Mining anomalies in a Big-distributed Intrusion Detection System VP Janeja, A Azari, JM Namayanja, B Heilig 2014 IEEE International Conference on Big Data (Big Data), 32-34, 2014	27	2014
Healthcare data mining: predicting hospital length of stay (PHLOS) A Azari, VP Janeja, A Mohseni International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 3 (3 …, 2012	26	2012
SQL-like big data environments: Case study in clinical trial analytics A Grover, J Gholap, VP Janeja, Y Yesha, R Chintalapati, H Marwaha, ... 2015 IEEE International Conference on Big Data (Big Data), 2680-2689, 2015	25	2015
Human perspective to anomaly detection for cybersecurity S Chen, VP Janeja Journal of Intelligent Information Systems 42 (1), 133-153, 2014	24	2014
Using semantic networks and context in search for relevant software engineering artifacts G Karabatis, Z Chen, VP Janeja, T Lobo, M Advani, M Lindvall, ... Journal on Data Semantics XIV, 74-104, 2009	24	2009

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