Rachel Grotheer

16 papers Misc 3Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2023 Misc conf
Stochastic Natural Thresholding Algorithms.
ACSSC
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2023 J jnl
Stochastic Natural Thresholding Algorithms.
CoRR
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2022 J jnl
Automatic Infectious Disease Classification Analysis with Concept Discovery.
CoRR
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
2022 J jnl
Semi-supervised Nonnegative Matrix Factorization for Document Classification.
CoRR
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
2021 — conf
Semi-supervised Nonnegative Matrix Factorization for Document Classification.
ACSCC
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
2020 — conf
COVID-19 Literature Topic-Based Search via Hierarchical NMF.
NLP4COVID@EMNLP
Rachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko, Pengyu Li, Xia Li, Elizaveta Rebrova, Kyung Ha, Deanna Needell
2020 J jnl
COVID-19 Literature Topic-Based Search via Hierarchical NMF.
CoRR
Rachel Grotheer, Yihuan Huang, Pengyu Li, Elizaveta Rebrova, Deanna Needell, Longxiu Huang, Alona Kryshchenko, Xia Li, Kyung Ha, Oleksandr Kryshchenko
2020 J jnl
Semi-supervised NMF Models for Topic Modeling in Learning Tasks.
CoRR
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
2020 Misc conf
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery.
ITA
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019 — conf
Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity.
EMBC
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019 J jnl
Iterative Hard Thresholding for Low CP-rank Tensor Models.
CoRR
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019 Misc conf
Jointly Sparse Signal Recovery with Prior Info.
ACSSC
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019 J jnl
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery.
CoRR
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2018 J jnl
Compressed Anomaly Detection with Multiple Mixed Observations.
CoRR
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2017 J jnl
Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors.
CoRR
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2017 J jnl
Stochastic Greedy Algorithms For Multiple Measurement Vectors.
CoRR
Jing Qin, Shuang Li, Deanna Needell, Anna Ma, Rachel Grotheer, Chenxi Huang, Natalie Durgin