R. W. M. A. Madushani

According to our database, R. W. M. A. Madushani authored at least 6 papers between 2016 and 2022.

Collaborative distances:

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

2022

Automatic Infectious Disease Classification Analysis with Concept Discovery.

Elena Sizikova, Joshua Vendrow, Xu Cao, Rachel Grotheer, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Thomas Merkh, R. W. M. A. Madushani, Kenny Moise, Annie Ulichney, Huy V. Vo, Chuntian Wang, Megan Coffee, Kathryn Leonard, Deanna Needell

CoRR, 2022

2021

Semi-supervised Nonnegative Matrix Factorization for Document Classification.

Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Semi-supervised NMF Models for Topic Modeling in Learning Tasks.

Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard

CoRR, 2020

On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition.

Miju Ahn, Nicole Eikmeier, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Kathryn Leonard, Deanna Needell, R. W. M. A. Madushani, Elena Sizikova, Chuntian Wang

CoRR, 2020

2016

Scalable SDE Filtering and Inference with Apache Spark.

Harish S. Bhat, R. W. M. A. Madushani, Shagun Rawat

Proceedings of the 5th International Workshop on Big Data, 2016

Nonparametric Adjoint-Based Inference for Stochastic Differential Equations.

Harish S. Bhat, R. W. M. A. Madushani

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016