A county-level analysis of persons living with HIV in the southern United States SC Gray, T Massaro, I Chen, CJ Edholm, R Grotheer, Y Zheng, HH Chang AIDS care 28 (2), 266-272, 2016 | 22 | 2016 |
Iterative hard thresholding for low CP-rank tensor models R Grotheer, S Li, A Ma, D Needell, J Qin Linear and Multilinear Algebra 70 (22), 7452-7468, 2022 | 15 | 2022 |
COVID-19 literature topic-based search via hierarchical NMF R Grotheer, Y Huang, P Li, E Rebrova, D Needell, L Huang, ... arXiv preprint arXiv:2009.09074, 2020 | 12 | 2020 |
Stochastic greedy algorithms for multiple measurement vectors J Qin, S Li, D Needell, A Ma, R Grotheer, C Huang, N Durgin arXiv preprint arXiv:1711.01521, 2017 | 9 | 2017 |
Fast hyperspectral diffuse optical imaging method with joint sparsity N Durgin, R Grotheer, C Huang, S Li, A Ma, D Needell, J Qin 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 7 | 2019 |
Sparse randomized kaczmarz for support recovery of jointly sparse corrupted multiple measurement vectors N Durgin, R Grotheer, C Huang, S Li, A Ma, D Needell, J Qin Research in Data Science, 1-14, 2019 | 7 | 2019 |
Stochastic greedy algorithms for multiple measurement vectors J Qin, S Li, D Needell, A Ma, R Grotheer, C Huang, N Durgin Inverse Problems & Imaging 15 (1), 2021 | 6 | 2021 |
Semi-supervised nmf models for topic modeling in learning tasks J Haddock, L Kassab, S Li, A Kryshchenko, R Grotheer, E Sizikova, ... arXiv preprint arXiv:2010.07956, 2020 | 6 | 2020 |
Stochastic iterative hard thresholding for low-Tucker-rank tensor recovery R Grotheer, S Li, A Ma, D Needell, J Qin 2020 Information Theory and Applications Workshop (ITA), 1-5, 2020 | 6 | 2020 |
Semi-supervised nonnegative matrix factorization for document classification J Haddock, L Kassab, S Li, A Kryshchenko, R Grotheer, E Sizikova, ... 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1355-1360, 2021 | 5 | 2021 |
Automatic Infectious Disease Classification Analysis with Concept Discovery E Sizikova, J Vendrow, X Cao, R Grotheer, J Haddock, L Kassab, ... arXiv preprint arXiv:2209.02415, 2022 | 4 | 2022 |
Hyperspectral diffuse optical tomography using the reduced basis method and sparsity constraints RE Grotheer Clemson University, 2016 | 4 | 2016 |
Higher-order wide-angle split-step spectral method for non-paraxial beam propagation BH Hokr, CD Clark III, RE Grotheer, RJ Thomas Optics Express 21 (13), 15815-15825, 2013 | 3 | 2013 |
Jointly sparse signal recovery with prior info N Durgin, R Grotheer, C Huang, S Li, A Ma, D Needell, J Qin 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 645-649, 2019 | 2 | 2019 |
Compressed anomaly detection with multiple mixed observations N Durgin, R Grotheer, C Huang, S Li, A Ma, D Needell, J Qin Research in Data Science, 211-237, 2019 | 2 | 2019 |
Decision making using a multi-criteria approach in a wholesale electrical power market T Khan, J Reneke, R Grotheer, T Strauss 2015 Clemson University Power Systems Conference (PSC), 1-5, 2015 | 1 | 2015 |
Stochastic Natural Thresholding Algorithms R Grotheer, S Li, A Ma, D Needel, J Qin 2023 57th Asilomar Conference on Signals, Systems, and Computers, 832-836, 2023 | | 2023 |
Iterative singular tube hard thresholding algorithms for tensor recovery R Grotheer, S Li, A Ma, D Needell, J Qin arXiv preprint arXiv:2304.04860, 2023 | | 2023 |
A Simple Recovery Framework for Signals with Time-Varying Sparse Support N Durgin, R Grotheer, C Huang, S Li, A Ma, D Needell, J Qin Advances in Data Science, 211-230, 2021 | | 2021 |
Alternatives for Generating a Reduced Basis to Solve the Hyperspectral Diffuse Optical Tomography Model R Grotheer, T Strauss, P Gralla, T Khan arXiv preprint arXiv:1803.00948, 2018 | | 2018 |