| Two general methods for population pharmacokinetic modeling: non-parametric adaptive grid and non-parametric Bayesian T Tatarinova, M Neely, J Bartroff, M van Guilder, W Yamada, D Bayard, ... Journal of pharmacokinetics and pharmacodynamics 40, 189-199, 2013 | 116 | 2013 |
| NPEST: a nonparametric method and a database for transcription start site prediction T Tatarinova, A Kryshchenko, M Triska, M Hassan, D Murphy, M Neely, ... Quantitative biology 1, 261-271, 2013 | 20 | 2013 |
| An algorithm for nonparametric estimation of a multivariate mixing distribution with applications to population pharmacokinetics WM Yamada, MN Neely, J Bartroff, DS Bayard, JV Burke, M van Guilder, ... Pharmaceutics 13 (1), 42, 2020 | 15 | 2020 |
| On nonnegative matrix and tensor decompositions for covid-19 twitter dynamics L Kassab, A Kryshchenko, H Lyu, D Molitor, D Needell, E Rebrova arXiv preprint arXiv:2010.01600, 2020 | 10 | 2020 |
| 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 | 10 | 2020 |
| On large-scale dynamic topic modeling with nonnegative CP tensor decomposition M Ahn, N Eikmeier, J Haddock, L Kassab, A Kryshchenko, K Leonard, ... Advances in Data Science, 181-210, 2021 | 9 | 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 | 4 | 2020 |
| BenchNGS: An approach to benchmark short reads alignment tools F Rahman, M Hassan, A Kryshchenko, I Dubchak, TV Tatarinova, ... arXiv preprint arXiv:1504.06659, 2015 | 4 | 2015 |
| 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 | 3 | 2021 |
| Nonparametric estimation of blood alcohol concentration from transdermal alcohol measurements using alcohol biosensor devices A Kryshchenko, M Sirlanci, B Vader Advances in Data Science, 329-360, 2021 | 3 | 2021 |
| Detecting short-lasting topics using nonnegative tensor decomposition L Kassab, A Kryshchenko, H Lyu, D Molitor, D Needell, E Rebrova arXiv e-prints, arXiv: 2010.01600, 2020 | 3 | 2020 |
| 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 | 2 | 2022 |
| On Nonnegative CP Tensor Decomposition Robustness to Noise J Haddock, L Kassab, A Kryshchenko, D Needell 2020 Information Theory and Applications Workshop (ITA), 1-7, 2020 | 2 | 2020 |
| Nonparametric estimation of an unknown probability distribution using maximum likelihood and Bayesian approaches A Chubatiuk University of Southern California, 2013 | 2 | 2013 |
| Rpem: Randomized monte carlo parametric expectation maximization algorithm R Chen, A Schumitzky, A Kryshchenko, R Garreau, JD Otalvaro, ... arXiv preprint arXiv:2206.02077, 2022 | 1 | 2022 |
| Sparseness-constrained Nonnegative Tensor Factorization for Detecting Topics at Different Time Scales L Kassab, A Kryshchenko, H Lyu, D Molitor, D Needell, E Rebrova, ... arXiv preprint arXiv:2010.01600, 2020 | 1 | 2020 |
| Analysis of Simulated Crowd Flow Exit Data: Visualization, Panic Detection and Exit Time Convergence, Attribution, and Estimation A Grim, B Iskra, N Ju, A Kryshchenko, FP Medina, L Ness, M Ngamini, ... Research in Data Science, 239-281, 2019 | 1 | 2019 |
| Nonparametric estimation of a mixing distribution for a family of linear stochastic dynamical systems A Kryshchenko, A Schumitzky, M van Guilder, M Neely arXiv preprint arXiv:1509.04350, 2015 | 1 | 2015 |
| Applying Machine Learning Methods to Laser Acceleration of Protons: Lessons Learned from Synthetic Data R Desai, T Zhang, R Oropeza, J Felice, JR Smith, A Kryshchenko, ... arXiv preprint arXiv:2307.16036, 2023 | | 2023 |
| NPSA: Nonparametric Simulated Annealing for Global Optimization R Chen, A Schumitzky, A Kryshchenko, JD Otalvaro, WM Yamada, ... arXiv preprint arXiv:2301.12656, 2023 | | 2023 |
Michael NeelyUniversity of Southern CaliforniaBestätigte E-Mail-Adresse bei usc.edu
