Naren Ramakrishnan

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Manish MarwahHP LabsE-mail confirmado em hp.com
John BrownsteinHarvard Medical SchoolE-mail confirmado em harvard.edu
Chris NorthComputer Science, Virginia TechE-mail confirmado em vt.edu
Bud MishraProfessor of Computer Science and MathematicsE-mail confirmado em nyu.edu
Ratnesh K Sharma, PhD, PEConsultantE-mail confirmado em scu.edu
David MaresProfessor of Political Science, University of California, San DiegoE-mail confirmado em ucsd.edu
Chris Bailey-KelloggProfessor of Computer Science, DartmouthE-mail confirmado em cs.dartmouth.edu
Elaine Okanyene NsoesieBoston UniversityE-mail confirmado em bu.edu
Theodore (Ted) S. RappaportNYU WIRELESS Founder; Lee/Weber Chair of ECE; Prof. of CS; Prof. of Radiology, New York UniversityE-mail confirmado em nyu.edu
David A HanauerUniversity of MichiganE-mail confirmado em umich.edu
Jieping Ye, IEEE Fellow & ACM Distin...Alibaba GroupE-mail confirmado em umich.edu
Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzE-mail confirmado em ucsc.edu
Nikolaj TattiUniversity of HelsinkiE-mail confirmado em helsinki.fi
Upinder Singh BhallaNational Centre for Biological Sciences, TIFR, BangaloreE-mail confirmado em ncbs.res.in
Niklas ElmqvistVillum Investigator and Professor of Computer Science, Aarhus UniversityE-mail confirmado em cs.au.dk
Laxmi ParidaIBM ResearchE-mail confirmado em us.ibm.com
Jilles VreekenCISPA Helmholtz Center for Information SecurityE-mail confirmado em cispa.de
Yehuda KorenGoogleE-mail confirmado em google.com
Tanzeem ChoudhuryProfessor, Computing and Information Science, Cornell TechE-mail confirmado em cornell.edu
Nathan BakerMicrosoftE-mail confirmado em microsoft.com

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Naren Ramakrishnan

Thomas L. Phillips Professor, Virginia Tech

E-mail confirmado em cs.vt.edu - Página inicial

Forecasting Machine Learning Computational epidemiology Recommender systems Visual analytics


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Epidemiological modeling of news and rumors on twitter F Jin, E Dougherty, P Saraf, Y Cao, N Ramakrishnan Proceedings of the 7th workshop on social network mining and analysis, 1-9, 2013	490	2013
Deep reinforcement learning for sequence-to-sequence models Y Keneshloo, T Shi, N Ramakrishnan, CK Reddy IEEE transactions on neural networks and learning systems 31 (7), 2469-2489, 2019	311	2019
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators N Ramakrishnan, P Butler, S Muthiah, N Self, R Khandpur, P Saraf, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	309	2014
Privacy Risks to Straddlers in Recommender Systems N Ramakrishnan, BJ Keller, BJ Mirza, AY Grama, G Karypis IEEE Internet Computing 5, 1-16, 2001	305*	2001
Neural abstractive text summarization with sequence-to-sequence models T Shi, Y Keneshloo, N Ramakrishnan, CK Reddy ACM Transactions on Data Science 2 (1), 1-37, 2021	293	2021
A systematic review of studies on forecasting the dynamics of influenza outbreaks EO Nsoesie, JS Brownstein, N Ramakrishnan, MV Marathe Influenza and other respiratory viruses 8 (3), 309-316, 2014	261	2014
The human is the loop: new directions for visual analytics A Endert, MS Hossain, N Ramakrishnan, C North, P Fiaux, C Andrews Journal of intelligent information systems 43, 411-435, 2014	230	2014
Sub2Vec: Feature Learning for Subgraphs B Adhikari, Y Zhang, N Ramakrishnan, BA Prakash Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018	229	2018
Misinformation propagation in the age of twitter F Jin, W Wang, L Zhao, E Dougherty, Y Cao, CT Lu, N Ramakrishnan Computer 47 (12), 90-94, 2014	228	2014
Incorporating prior domain knowledge into deep neural networks N Muralidhar, MR Islam, M Marwah, A Karpatne, N Ramakrishnan 2018 IEEE international conference on big data (big data), 36-45, 2018	225	2018
Crowdsourcing cybersecurity: Cyber attack detection using social media RP Khandpur, T Ji, S Jan, G Wang, CT Lu, N Ramakrishnan Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017	202	2017
Photosynthetic acclimation is reflected in specific patterns of gene expression in drought-stressed loblolly pine JI Watkinson, AA Sioson, C Vasquez-Robinet, M Shukla, D Kumar, M Ellis, ... Plant Physiology 133 (4), 1702-1716, 2003	202	2003
Multi-task learning for spatio-temporal event forecasting L Zhao, Q Sun, J Ye, F Chen, CT Lu, N Ramakrishnan Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	199	2015
Studying recommendation algorithms by graph analysis BJ Mirza, BJ Keller, N Ramakrishnan Journal of intelligent information systems 20, 131-160, 2003	177	2003
Racism is a virus: Anti-Asian hate and counterspeech in social media during the COVID-19 crisis B He, C Ziems, S Soni, N Ramakrishnan, D Yang, S Kumar Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021	171	2021
A temporal motif mining approach to unsupervised energy disaggregation: Applications to residential and commercial buildings H Shao, M Marwah, N Ramakrishnan Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 1327-1333, 2013	164	2013
Data mining: From serendipity to science N Ramakrishnan, AY Grama Computer 32 (8), 34-37, 1999	158	1999
Phynet: Physics guided neural networks for particle drag force prediction in assembly N Muralidhar, J Bu, Z Cao, L He, N Ramakrishnan, D Tafti, A Karpatne Proceedings of the 2020 SIAM International Conference on Data Mining, 559-567, 2020	133*	2020
Growing pains for global monitoring of societal events W Wang, R Kennedy, D Lazer, N Ramakrishnan Science 353 (6307), 1502-1503, 2016	132	2016
Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016 CJ McGowan, M Biggerstaff, M Johansson, KM Apfeldorf, M Ben-Nun, ... Scientific reports 9 (1), 683, 2019	130	2019

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