Shebuti Rayana

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Leman AkogluAssociate Professor, Carnegie Mellon University確認したメールアドレス: andrew.cmu.edu
Wen ZhongPh.D. student at CS, Stony Brook University確認したメールアドレス: cs.stonybrook.edu
Syed Ishtiaque AhmedUniversity of Toronto確認したメールアドレス: cs.toronto.edu
Maryam MokhberiPhD student, Department of Computer Science, University of Toronto確認したメールアドレス: mail.utoronto.ca
Professor Joseph Roy GillisUniversity of Toronto確認したメールアドレス: utoronto.ca
Roula Kteily-HawaAssociate Professor of Family Studies and Human Development, Brescia University College at Western確認したメールアドレス: uwo.ca
Ahana BiswasPhD student, Information Science, University of Pittsburgh確認したメールアドレス: pitt.edu
Sherrene Bogle PhDUniversity of Georgia USA, University of Technology Jamaica, Cal Poly Humboldt確認したメールアドレス: humboldt.edu
Yun WanUniversity of Houston - Victoria確認したメールアドレス: uhv.edu
Palvi AggarwalAssistant Professor, University of Texas El Paso確認したメールアドレス: utep.edu
Renu BalyanSUNY Old Westbury確認したメールアドレス: oldwestbury.edu
Kinning PoonSUNY Old Westbury確認したメールアドレス: oldwestbury.edu
christos noutsosSUNY at Old Westbury College確認したメールアドレス: oldwestbury.edu
Solomon Tin Chi ChakSUNY Old Westbury確認したメールアドレス: oldwestbury.edu
Xiwei WangNortheastern Illinois University確認したメールアドレス: neiu.edu
Mohamed E. Khalefa

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Shebuti Rayana

Assistant Professor, SUNY at Old Westbury

確認したメールアドレス: oldwestbury.edu - ホームページ

Social Media Mining Natural Language Processing Machine Learning Data Mining Anomaly Detection


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Collective opinion spam detection: Bridging review networks and metadata S Rayana, L Akoglu Proceedings of the 21th acm sigkdd international conference on knowledge …, 2015	636	2015
ODDS library S Rayana Stony Brook University, Department of Computer Sciences, 2016	200*	2016
Less is more: Building selective anomaly ensembles S Rayana, L Akoglu Acm transactions on knowledge discovery from data (tkdd) 10 (4), 1-33, 2016	162	2016
Sequential ensemble learning for outlier detection: A bias-variance perspective S Rayana, W Zhong, L Akoglu 2016 IEEE 16th international conference on data mining (ICDM), 1167-1172, 2016	78	2016
ODDS library (2016) S Rayana URL http://odds. cs. stonybrook. edu 4, 2016	78	2016
Less is more: Building selective anomaly ensembles with application to event detection in temporal graphs S Rayana, L Akoglu Proceedings of the 2015 SIAM International Conference on Data Mining, 622-630, 2015	50	2015
Collective opinion spam detection using active inference S Rayana, L Akoglu Proceedings of the 2016 siam international conference on data mining, 630-638, 2016	35	2016
An ensemble approach for event detection and characterization in dynamic graphs S Rayana, L Akoglu ACM SIGKDD ODD Workshop, 2014	26	2014
Yelp Dataset for Anomalous Reviews S Rayana, L Akoglu Technical report, 2015	7	2015
ODDS library, Stony Brook University, Department of Computer Sciences (2016) S Rayana	4
Ensemble and Multimodal Learning for Anomaly Mining: Algorithms and Applications S Rayana State University of New York at Stony Brook, 2017	3	2017
Development of a COVID-19–related anti-Asian tweet data set: Quantitative study M Mokhberi, A Biswas, Z Masud, R Kteily-Hawa, A Goldstein, JR Gillis, ... JMIR Formative Research 7, e40403, 2023	2	2023
Undergraduate Student Motivation in Research, Science, and Post-Bachelor Education K Poon, STC Chak, M Khalefa, C Noutsos, S Rayana, R Balyan Practice and Experience in Advanced Research Computing, 161-168, 2023		2023
A Preliminary Factor Analysis on the Success of Computing Major Transfer Students X Wang, Y Wan, S Rayana, S Bogle, P Aggarwal 2023 ASEE Annual Conference & Exposition, 2023		2023
A Survey of Student Counseling Systems: Functions, Designs, and Interactions Y Wan, SV Gopinathan, P Aggarwal, S Bogle, S Rayana, X Wang		2023
COVID-Stigma: A Dataset of Anti-Asian Stigmatizing Tweets During COVID-19 (Preprint) A Biswas, Z Masud, M Mokhberi, R Kteily-Hawa, A Goldstein, JR Gillis, ...		2023

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