A. Gray

Scalable semidefinite manifold learning

N. Vasiloglou, A. Gray, D.V. Anderson, 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.

Density Preserving Maps

N. Vasiloglou, A. Gray, Arkadas Ozakin, 2011 .

Retrootting Decision Tree Classiiers Using Kernel Density Estimation

A. Gray, D. Smyth, Usama M. FayyadJet, 1995 .

Dual Tree Kernel Conditional Density Estimation

A. Gray, N. Slagle, 2012 .

Hyperkernel Based Density Estimation

Nikolaos Vasiloglou, N. Vasiloglou, A. Gray, 2008 .

Parameter Estimation for Manifold Learning, Through Density Estimation

D.V. Anderson, N. Vasiloglou, N. Vasiloglou, 2006, 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing.

Nonstationarity in seasonality of extreme precipitation: A nonparametric circular statistical approach and its application

A. Gray, N. Dhakal, Shaleen Jain, 2015 .

A statistical approach to algorithmic analysis of high-dimensional nearest-neighbor search

Alexander Gray, A. Gray, 2004 .

R,ctrofitting Decision Tree Classifiers [jsing Kernel Density Estimation

A. Gray, 1996 .

Universal Sample Size Invariant Measures for Uncertainty Quantification in Density Estimation

Donald J. Jacobs, Alexander Gray, Jenny Farmer, 2019, Entropy.

Fast DBMS-Resident Machine Learning and Statistics: Extending the Sloan Digital Sky Survey SQL Server Database

Alexander S. Szalay, Dongryeol Lee, Tamás Budavári, 2009 .