Pravallika Devineni

ORCID

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 14

Top Venues

University of California, Riverside, USA (PHD)

Education History

University of California, Riverside, USA

PHD

Publications

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)
Uday Singh Saini, Pravallika Devineni, Evangelos E. Papalexakis
Subspace Clustering Based Analysis of Neural Networks. ECML/PKDD (3) (2021)
Bill Kay, Hao Lu, Pravallika Devineni, Anika Tabassum, Supriya Chintavali, Sangkeun Matt Lee
Identification of Critical Infrastructure via PageRank. IEEE BigData (2021)
Uday Singh Saini, Pravallika Devineni, Evangelos E. Papalexakis
Subspace Clustering Based Analysis of Neural Networks. CoRR (2021)
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)
Pravallika Devineni, Bill Kay, Hao Lu, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee
Toward Quantifying Vulnerabilities in Critical Infrastructure Systems. IEEE BigData (2020)
Ravdeep S. Pasricha, Pravallika Devineni, Evangelos E. Papalexakis, Ramakrishnan Kannan
Tensorized Feature Spaces for Feature Explosion. ICPR (2020)
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)
Pravallika Devineni, Evangelos E. Papalexakis, Kalina Michalska, Michalis Faloutsos
MIMiS: Minimally Intrusive Mining of Smartphone User Behaviors. CoRR (2018)
Pravallika Devineni, Evangelos E. Papalexakis, Kalina Michalska, Michalis Faloutsos
MIMiS: Minimally Intrusive Mining of Smartphone User Behaviors. ASONAM (2018)
Pravallika Devineni, Danai Koutra, Michalis Faloutsos, Christos Faloutsos
Facebook wall posts: a model of user behaviors. Soc. Netw. Anal. Min. 7 (1) (2017)
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)
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)
Pravallika Devineni, Danai Koutra, Michalis Faloutsos, Christos Faloutsos
If walls could talk: Patterns and anomalies in Facebook wallposts. ASONAM (2015)
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)

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Publication Activity (10 Years)

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Pravallika Devineni