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Conference and Workshop Papers
- 2021
[c3]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:
Semi-supervised Nonnegative Matrix Factorization for Document Classification. ACSCC 2021: 1355-1360- 2016
- [c2]Harish S. Bhat
, R. W. M. A. Madushani:
Nonparametric Adjoint-Based Inference for Stochastic Differential Equations. DSAA 2016: 798-807 - [c1]Harish S. Bhat, R. W. M. A. Madushani, Shagun Rawat:
Scalable SDE Filtering and Inference with Apache Spark. BigMine 2016: 18-34
Informal and Other Publications
- 2022
- [i4]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:
Semi-supervised Nonnegative Matrix Factorization for Document Classification. CoRR abs/2203.03551 (2022) - [i3]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:
Automatic Infectious Disease Classification Analysis with Concept Discovery. CoRR abs/2209.02415 (2022) - 2020
- [i2]Miju Ahn, Nicole Eikmeier, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Kathryn Leonard, Deanna Needell, R. W. M. A. Madushani, Elena Sizikova, Chuntian Wang:
On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition. CoRR abs/2001.00631 (2020) - [i1]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:
Semi-supervised NMF Models for Topic Modeling in Learning Tasks. CoRR abs/2010.07956 (2020)
Coauthor Index
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