A semiparametric method for clustering mixed data A Foss, M Markatou, B Ray, A Heching Machine Learning 105, 419-458, 2016 | 92 | 2016 |
Distance metrics and clustering methods for mixed‐type data AH Foss, M Markatou, B Ray International Statistical Review 87 (1), 80-109, 2019 | 89 | 2019 |
kamila: clustering mixed-type data in R and Hadoop AH Foss, M Markatou Journal of Statistical Software 83, 1-44, 2018 | 77 | 2018 |
Neural correlates of the Pythagorean ratio rules AH Foss, EL Altschuler, KH James Neuroreport 18 (15), 1521-1525, 2007 | 61 | 2007 |
Death rates in the US due to Krabbe disease and related leukodystrophy and lysosomal storage diseases AL Barczykowski, AH Foss, PK Duffner, L Yan, RL Carter American journal of medical genetics Part A 158 (11), 2835-2842, 2012 | 51 | 2012 |
The flipped classroom in a terminal college mathematics course for liberal arts students CL Carter, RL Carter, AH Foss AERA Open 4 (1), 2332858418759266, 2018 | 41 | 2018 |
Puberty: Maturation, timing and adjustment, and sexual identity developmental milestones among lesbian, gay, and bisexual youth AH Grossman, AH Foss, AR D'Augelli Journal of LGBT Youth 11 (2), 107-124, 2014 | 30 | 2014 |
Lifetime risk estimators in epidemiological studies of Krabbe disease: review and Monte Carlo comparison AH Foss, PK Duffner, RL Carter Rare Diseases 1 (1), e25212, 2013 | 24 | 2013 |
kamila: Methods for clustering mixed-type data A Foss, M Markatou R package version 0.1 1, 2016 | 7 | 2016 |
Neural correlates of the Pythagorean ratio rules. NeuroReport: For Rapid Communication of Neuroscience Research, 18 (15), 1521–1525 AH Foss, EL Altschuler, KH James | 7 | 2007 |
The Flipped Classroom in a Terminal College Mathematics Course for Liberal Arts Students. AERA Open, 4 (1), 233285841875926 CL Carter, RL Carter, AH Foss | 5 | 2018 |
Capturing patterns of variation unique to a specific dataset R Tu, AH Foss, SD Zhao arXiv preprint arXiv:2104.08157, 2021 | 3 | 2021 |
A deterministic hitting-time moment approach to seed-set expansion over a graph AH Foss, RB Lehoucq, WZ Stuart, JD Tucker, JW Berry arXiv preprint arXiv:2011.09544, 2020 | 3 | 2020 |
What is the Best Model? A Statistical Approach to Compression Analytics. A Foss Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
REDRIVER: Streaming Machine Learning. A Foss Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
Tallis: Nonlinear dimension reduction for heterogeneous data. A Foss Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
A Model: Time-Clustered Events A Foss Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | | 2019 |
Model based network clustering based on random walk hitting times. ZW Stuart, A Foss Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | | 2019 |
Tallis: Dimension Reduction for Mixed-Type Data. R Tu, A Foss Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | | 2019 |
Dynamic Model Updating for Streaming Classification and Clustering. A Foss Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | | 2019 |