B. Aditya Prakash

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Christos FaloutsosCMUZweryfikowany adres z cs.cmu.edu
Bijaya AdhikariDepartment of Computer Science, University of IowaZweryfikowany adres z uiowa.edu
Naren RamakrishnanThomas L. Phillips Professor, Virginia TechZweryfikowany adres z cs.vt.edu
Hanghang TongUniversity of Illinois at Urbana-ChampaignZweryfikowany adres z illinois.edu
Anil Vullikanti (V. S. Anil Kumar)University of VirginiaZweryfikowany adres z virginia.edu
Tina Eliassi-RadProfessor & The Inaugural Joseph E. Aoun Chair, Northeastern UniversityZweryfikowany adres z eliassi.org
V.S. SubrahmanianDepartment of Computer Science & ISTS, Dartmouth CollegeZweryfikowany adres z dartmouth.edu
Tudor DumitrasAssistant Professor, University of Maryland, College ParkZweryfikowany adres z umiacs.umd.edu
Jilles VreekenCISPA Helmholtz Center for Information SecurityZweryfikowany adres z cispa.de
Supriya ChinthavaliOak Ridge National LaboratoryZweryfikowany adres z ornl.gov
Duen Horng ChauProfessor, Georgia Institute of TechnologyZweryfikowany adres z gatech.edu
Roni RosenfeldProfessor, Carnegie Mellon UniversityZweryfikowany adres z cs.cmu.edu
Alex BeutelOpenAIZweryfikowany adres z openai.com
Yasuko MatsubaraOsaka UniversityZweryfikowany adres z sanken.osaka-u.ac.jp
Deepayan ChakrabartiAssociate Professor, McCombs School of Business, UT AustinZweryfikowany adres z utexas.edu
Leman AkogluAssociate Professor, Carnegie Mellon UniversityZweryfikowany adres z andrew.cmu.edu
Danai KoutraUniversity of Michigan, Ann ArborZweryfikowany adres z umich.edu
Madhav MaratheDistinguished Professor, Biocomplexity-Institute, Dept. Computer Science, University of VirginiaZweryfikowany adres z virginia.edu
Lei LiCarnegie Mellon UniversityZweryfikowany adres z cs.cmu.edu

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B. Aditya Prakash

Associate Professor, Georgia Institute of Technology

Zweryfikowany adres z cs.cmu.edu - Strona główna

Data Science Machine Learning AI Databases


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Rise and fall patterns of information diffusion: model and implications Y Matsubara, Y Sakurai, BA Prakash, L Li, C Faloutsos Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	426	2012
Gelling, and melting, large graphs by edge manipulation H Tong, BA Prakash, T Eliassi-Rad, M Faloutsos, C Faloutsos Proceedings of the 21st ACM international conference on Information and …, 2012	300	2012
Threshold conditions for arbitrary cascade models on arbitrary networks BA Prakash, D Chakrabarti, NC Valler, M Faloutsos, C Faloutsos Knowledge and information systems 33, 549-575, 2012	285	2012
Spotting culprits in epidemics: How many and which ones? BA Prakash, J Vreeken, C Faloutsos 2012 IEEE 12th international conference on data mining, 11-20, 2012	280	2012
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022	218	2022
Ensemble forecasts of coronavirus disease 2019 (COVID-19) in the US EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ... MedRXiv, 2020.08. 19.20177493, 2020	215	2020
Sub2Vec: Feature Learning for Subgraphs B Adhikari, Y Zhang, N Ramakrishnan, BA Prakash Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018	210	2018
Virus propagation on time-varying networks: Theory and immunization algorithms BA Prakash, H Tong, N Valler, M Faloutsos, C Faloutsos Joint European conference on machine learning and knowledge discovery in …, 2010	200	2010
Eigenspokes: Surprising patterns and scalable community chipping in large graphs BA Prakash, A Sridharan, M Seshadri, S Machiraju, C Faloutsos Pacific-Asia conference on knowledge discovery and data mining, 435-448, 2010	196	2010
On the vulnerability of large graphs H Tong, BA Prakash, C Tsourakakis, T Eliassi-Rad, C Faloutsos, ... 2010 IEEE international conference on data mining, 1091-1096, 2010	188	2010
Winner takes all: competing viruses or ideas on fair-play networks BA Prakash, A Beutel, R Rosenfeld, C Faloutsos Proceedings of the 21st international conference on World Wide Web, 1037-1046, 2012	184	2012
Interacting viruses in networks: can both survive? A Beutel, BA Prakash, R Rosenfeld, C Faloutsos Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	159	2012
Deepcovid: An operational deep learning-driven framework for explainable real-time covid-19 forecasting A Rodríguez, A Tabassum, J Cui, J Xie, J Ho, P Agarwal, B Adhikari, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15393 …, 2021	113	2021
Node immunization on large graphs: Theory and algorithms C Chen, H Tong, BA Prakash, CE Tsourakakis, T Eliassi-Rad, C Faloutsos, ... IEEE Transactions on Knowledge and Data Engineering 28 (1), 113-126, 2015	113	2015
Competing memes propagation on networks: A network science perspective X Wei, NC Valler, BA Prakash, I Neamtiu, M Faloutsos, C Faloutsos IEEE Journal on Selected Areas in Communications 31 (6), 1049-1060, 2013	113	2013
Approximation algorithms for reducing the spectral radius to control epidemic spread S Saha, A Adiga, BA Prakash, AKS Vullikanti Proceedings of the 2015 SIAM International Conference on Data Mining, 568-576, 2015	108	2015
Time series clustering: Complex is simpler! L Li, BA Prakash Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011	104	2011
Deepdiffuse: Predicting the'who'and'when'in cascades MR Islam, S Muthiah, B Adhikari, BA Prakash, N Ramakrishnan 2018 IEEE international conference on data mining (ICDM), 1055-1060, 2018	103	2018
Parsimonious linear fingerprinting for time series L Li, BA Prakash, C Faloutsos Proceedings of the VLDB Endowment 3 (1-2), 385-396, 2010	96	2010
Epidemic spread in mobile ad hoc networks: Determining the tipping point NC Valler, BA Prakash, H Tong, M Faloutsos, C Faloutsos NETWORKING 2011: 10th International IFIP TC 6 Networking Conference …, 2011	95	2011

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