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ORCIDPravallika Devineni
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2020 – today
- 2022
[e1]Jeffrey Nichols
, Arthur Barney Maccabe, James J. Nutaro, Swaroop Pophale, Pravallika Devineni, Theresa Ahearn, Becky Verastegui:
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, Hao Lu, Pravallika Devineni, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee:
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, Ketan Maheshwari, Drahomira Herrmannova, Ramakrishnan Kannan, Seung-Hwan Lim, Thomas E. Potok, Jordan B. Chipka, Priyantha Mudalige, Mark Coletti, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa:
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, Hao Lu, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee:
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, Wenduo Zhou, Pravallika Devineni, Nouamane Laanait, Junqi Yin, Albina Y. Borisevich, Ketan Maheshwari, Melissa R. Allen-Dumas, Srinath Ravulaparthy, Kuldeep R. Kurte, Jibo Sanyal, Anne Berres, Olivera Kotevska, Folami Alamudun, Keith Gray, Max Grossman, Anar Yusifov, Ioana Danciu, Gil Alterovitz, Dasha Herrmannova:
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, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman, Derek C. Rose, Thomas E. Potok:
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, Kalina Michalska, Michalis Faloutsos:
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, Danai Koutra, Michalis Faloutsos, Christos Faloutsos:
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, Danai Koutra, A. Seza Dogruöz, Michalis Faloutsos:
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, Christos 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, Krishna Janakiraman, Sara Motahari:
Which phone will you get next: Observing trends and predicting the choice. NOMS 2014: 1-7
Coauthor Index
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