Priya Krishnan Sundararajan

Improving the Performance and Understanding of the Expectation Maximization Algorithm: Evolutionary and Visualization Methods

Priya Krishnan Sundararajan, P. Sundararajan, 2016 .

A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization

Ole J. Mengshoel, Priya Krishnan Sundararajan, 2016, Probabilistic Graphical Models.

A Constrained Genetic Algorithm for Rebalancing of Services in Cloud Data Centers

Ole J. Mengshoel, Eugen Feller, Julien Forgeat, 2015, 2015 IEEE 8th International Conference on Cloud Computing.

Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks

Ole J. Mengshoel, Priya Krishnan Sundararajan, Avneesh Singh Saluja, 2012, AISTATS.

Multi-Fisheye for Interactive Visualization of Large Graphs

Ole J. Mengshoel, Ted Selker, Priya Krishnan Sundararajan, 2011, Scalable Integration of Analytics and Visualization.

Online Workload Forecasting

Lars Grunske, Samuel Kounev, Ole J. Mengshoel, 2017, Self-Aware Computing Systems.

Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation

Ole J. Mengshoel, Erik Reed, Dongzhen Piao, 2018, DARE@PKDD/ECML.

Multi-focus and multi-window techniques for interactive network exploration

Ole J. Mengshoel, Ted Selker, Priya Krishnan Sundararajan, 2013, Electronic Imaging.