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Pravallika Devineni
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2020 – today
- 2022
- [e1]Jeffrey Nichols
, Arthur Barney Maccabe
Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation - 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers. Communications in Computer and Information Science 1512, Springer 2022, ISBN 978-3-030-96497-9 [contents] - 2021
- [c12]Bill Kay
Identification of Critical Infrastructure via PageRank. IEEE BigData 2021: 3685-3690 - [c11]Uday Singh Saini, Pravallika Devineni, Evangelos E. Papalexakis:
Subspace Clustering Based Analysis of Neural Networks. ECML/PKDD (3) 2021: 697-712 - [c10]Pravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane
Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC 2021: 361-382 - [i2]Uday Singh Saini, Pravallika Devineni, Evangelos E. Papalexakis:
Subspace Clustering Based Analysis of Neural Networks. CoRR abs/2107.01296 (2021) - 2020
- [c9]Pravallika Devineni, Bill Kay
Toward Quantifying Vulnerabilities in Critical Infrastructure Systems. IEEE BigData 2020: 2884-2890 - [c8]Ravdeep S. Pasricha, Pravallika Devineni, Evangelos E. Papalexakis, Ramakrishnan Kannan:
Tensorized Feature Spaces for Feature Explosion. ICPR 2020: 6298-6304 - [c7]Suzanne Parete-Koon, Peter F. Peterson, Garrett E. Granroth
Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics. SMC 2020: 425-442
2010 – 2019
- 2019
- [c6]Steven R. Young, Pravallika Devineni, Maryam Parsa
Evolving Energy Efficient Convolutional Neural Networks. IEEE BigData 2019: 4479-4485 - 2018
- [b1]Pravallika Devineni:
From Social Networks To Smartphones: Modeling And Understanding Online Human Behavior. University of California, Riverside, USA, 2018 - [c5]Pravallika Devineni, Evangelos E. Papalexakis
MIMiS: Minimally Intrusive Mining of Smartphone User Behaviors. ASONAM 2018: 568-569 - [i1]Pravallika Devineni, Evangelos E. Papalexakis, Kalina Michalska, Michalis Faloutsos:
MIMiS: Minimally Intrusive Mining of Smartphone User Behaviors. CoRR abs/1805.05476 (2018) - 2017
- [j1]Pravallika Devineni
Facebook wall posts: a model of user behaviors. Soc. Netw. Anal. Min. 7(1): 6:1-6:15 (2017) - [c4]Pravallika Devineni, Evangelos E. Papalexakis
One Size Does Not Fit All: Profiling Personalized Time-Evolving User Behaviors. ASONAM 2017: 331-340 - 2016
- [c3]Venkata Krishna Pillutla, Zhanpeng Fang, Pravallika Devineni, Christos Faloutsos, Danai Koutra, Jie Tang:
On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries. SDM 2016: 783-791 - 2015
- [c2]Pravallika Devineni, Danai Koutra, Michalis Faloutsos
If walls could talk: Patterns and anomalies in Facebook wallposts. ASONAM 2015: 367-374 - 2014
- [c1]Yi Wang, Hui Zang, Pravallika Devineni, Michalis Faloutsos
Which phone will you get next: Observing trends and predicting the choice. NOMS 2014: 1-7
Coauthor Index
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