Pravallika Devineni

According to our database, Pravallika Devineni authored at least 14 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing.

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

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Subspace Clustering Based Analysis of Neural Networks.

Uday Singh Saini, Pravallika Devineni, Evangelos E. Papalexakis

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Identification of Critical Infrastructure via PageRank.

Bill Kay, Hao Lu, Pravallika Devineni, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

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.

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

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Tensorized Feature Spaces for Feature Explosion.

Ravdeep S. Pasricha, Pravallika Devineni, Evangelos E. Papalexakis, Ramakrishnan Kannan

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Toward Quantifying Vulnerabilities in Critical Infrastructure Systems.

Pravallika Devineni, Bill Kay, Hao Lu, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Evolving Energy Efficient Convolutional Neural Networks.

Steven R. Young, Pravallika Devineni, Maryam Parsa, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman, Derek C. Rose, Thomas E. Potok

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

From Social Networks To Smartphones: Modeling And Understanding Online Human Behavior.

Pravallika Devineni

PhD thesis, 2018

MIMiS: Minimally Intrusive Mining of Smartphone User Behaviors.

Pravallika Devineni, Evangelos E. Papalexakis, Kalina Michalska, Michalis Faloutsos

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Facebook wall posts: a model of user behaviors.

Pravallika Devineni, Danai Koutra, Michalis Faloutsos, Christos Faloutsos

Soc. Netw. Anal. Min., 2017

One Size Does Not Fit All: Profiling Personalized Time-Evolving User Behaviors.

Pravallika Devineni, Evangelos E. Papalexakis, Danai Koutra, A. Seza Dogruöz, Michalis Faloutsos

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries.

Venkata Krishna Pillutla, Zhanpeng Fang, Pravallika Devineni, Christos Faloutsos, Danai Koutra, Jie Tang

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

2015

If walls could talk: Patterns and anomalies in Facebook wallposts.

Pravallika Devineni, Danai Koutra, Michalis Faloutsos, Christos Faloutsos

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Which phone will you get next: Observing trends and predicting the choice.

Yi Wang, Hui Zang, Pravallika Devineni, Michalis Faloutsos, Krishna Janakiraman, Sara Motahari

Proceedings of the 2014 IEEE Network Operations and Management Symposium, 2014