Deanna Needell

Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling

Tyler Will, Runyu Zhang, Eli Sadovnik, Mengdi Gao, Joshua Vendrow, Jamie Haddock, Denali Molitor, Deanna Needell

Journal article | 2023 | arXiv

DOI: https://doi.org/10.48550/arXiv.2303.00058

Inference of Media Bias and Content Quality Using Natural-Language Processing

Zehan Chao, Denali Molitor, Deanna Needell, Mason A. Porter

Journal article | 2022 | arXiv

DOI: https://doi.org/10.48550/arXiv.2212.00237

Analysis of Legal Documents via Non-negative Matrix Factorization Methods

Ryan Budahazy, Lu Chen, Yihuan Huang, Andrew Johnson, Pengyu Li, Joshua Vendrow, Zhoutong Wu, Deanna Needell*

Journal article | 2022 | Society for Industrial and Applied Mathematics

Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling

HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell

Journal article | 2022 | arXiv

DOI: https://doi.org/10.1109/TPAMI.2023.3261185

Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery

Mark A. Iwen, Deanna Needell, Michael Perlmutter, Elizaveta Rebrova

Journal article | 2021 | arXiv

DOI: https://doi.org/10.48550/arXiv.2109.10454

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

Journal article | 2020 | arXiv

DOI: https://doi.org/10.48550/arXiv.2010.07956

Statistical Learning for Best Practices in Tattoo Removal

Richard P. Yim, Jamie Haddock*, Deanna Needell*

Journal article | Society for Industrial and Applied Mathematics