| If walls could talk: Patterns and anomalies in facebook wallposts P Devineni, D Koutra, M Faloutsos, C Faloutsos Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 33 | 2015 |
| Facebook wall posts: a model of user behaviors P Devineni, D Koutra, M Faloutsos, C Faloutsos Social Network Analysis and Mining, 2017 | 23 | 2017 |
| Evolving energy efficient convolutional neural networks SR Young, P Devineni, M Parsa, JT Johnston, B Kay, RM Patton, ... 2019 IEEE International Conference on Big Data (Big Data), 4479-4485, 2019 | 14 | 2019 |
| One Size Does Not Fit All: Profiling Personalized Time-Evolving User Behaviors P Devineni, EE Papalexakis, D Koutra, AS Dogruöz, M Faloutsos ASONAM, 2017 | 12 | 2017 |
| Sensor Drift Estimation for Rector Systems by Fusing Multiple Sensor Measurements N Rao, C Greulich, P Ramuhalli, SM Cetiner, P Devineni IEEE Nuclear Science Symposium and Medical Imaging Conference, 2019 | 5 | 2019 |
| On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries VK Pillutla, Z Fang, P Devineni, C Faloutsos, D Koutra, J Tang Proceedings of the 2016 SIAM International Conference on Data Mining, 783-791, 2016 | 5 | 2016 |
| Toward Quantifying Vulnerabilities in Critical Infrastructure Systems P Devineni, B Kay, H Lu, A Tabassum, S Chintavali, S Lee IEEE International Conference on Big Data, 2020 | 4 | 2020 |
| Which phone will you get next: observing trends and predicting the choice Y Wang, H Zang, P Devineni, M Faloutsos, K Janakiraman, S Motahari 2014 IEEE Network Operations and Management Symposium (NOMS), 1-7, 2014 | 4 | 2014 |
| Identification of critical infrastructure via pagerank B Kay, H Lu, P Devineni, A Tabassum, S Chintavali, SM Lee 2021 IEEE International Conference on Big Data (Big Data), 3685-3690, 2021 | 2 | 2021 |
| GECS: Graph Embedding Using Connection Subgraphs SA Al-Sayouri, P Devineni, SS Lam, EE Papalexakis, D Koutra KDD Mining and Learning with Graphs Workshop, 2017 | 2 | 2017 |
| Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation: 21st Smoky Mountains Computational Sciences and … J Nichols, J Nutaro, S Pophale, P Devineni, T Ahearn, B Verastegui Springer Nature, 2022 | 1 | 2022 |
| Subspace Clustering Based Analysis of Neural Networks US Saini, P Devineni, EE Papalexakis Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 1 | 2021 |
| Tensorized Feature Spaces for Feature Explosion RS Pasricha, P Devineni, EE Papalexakis, R Kannan International Conference on Pattern Recognition, 2021 | 1 | 2021 |
| MIMiS: Minimally Intrusive Mining of Smartphone User Behaviors P Devineni, EE Papalexakis, M Michalska, Kalina J., Faloutsos https://arxiv.org/abs/1805.05476, 2018 | 1 | 2018 |
| Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing P Devineni, P Ganesh, N Sivadas, A Dhakane, K Maheshwari, ... Smoky Mountains Computational Sciences and Engineering Conference, 361-382, 2021 | | 2021 |
| 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 … S Parete-Koon, PF Peterson, GE Granroth, W Zhou, P Devineni, N Laanait, ... Driving Scientific and Engineering Discoveries Through the Convergence of …, 2020 | | 2020 |
| Convolutional Autoencoders for Unmixing High-dimensional Scientific Images P Devineni, EE Papalexakis, RK Vasudevan, R Kannan AI and Tensor Factorizations for Physical, Chemical, and Biological Systems …, 2019 | | 2019 |
| From Social Networks To Smartphones: Modeling And Understanding Online Human Behavior P Devineni University of California Riverside, 2018 | | 2018 |
Danai KoutraUniversity of Michigan, Ann ArborZweryfikowany adres z umich.edu
