Circular nodes in neural networks. - Michael J. Kirby; Rick Miranda (Neural Comput., 1996)

A New Approach to Dimensionality Reduction: Theory and Algorithms. - David S. Broomhead; Michael J. Kirby (SIAM J. Appl. Math., 2000)

The Whitney Reduction Network: A Method for Computing Autoassociative Graphs. - David S. Broomhead; Michael J. Kirby (Neural Comput., 2001)

The Bilipschitz criterion for dimension reduction mapping design. - Markus Anderle; Douglas R. Hundley; Michael J. Kirby (Intell. Data Anal., 2002)

Blind source separation using the maximum signal fraction approach. - Douglas R. Hundley; Michael J. Kirby; Markus Anderle (Signal Process., 2002)

EEG Subspace Representations and Feature Selection for Brain-Computer Interfaces. - Charles W. Anderson; Michael J. Kirby (CVPR Workshops, 2003)

Estimation of Topological Dimension. - Douglas R. Hundley; Michael J. Kirby (SDM, 2003)

Feature Selection and Blind Source Separation in an EEG-Based Brain-Computer Interface. - David A. Peterson; James N. Knight; Michael J. Kirby; Charles W. Anderson; Michael H. Thaut (EURASIP J. Adv. Signal Process., 2005)

Examples of Compactly Supported Functions for Radial Basis Approximations. - Arta A. Jamshidi; Michael J. Kirby (MLMTA, 2006)

Towards a Black Box Algorithm for Nonlinear Function Approximation over High-Dimensional Domains. - Arta A. Jamshidi; Michael J. Kirby (SIAM J. Sci. Comput., 2007)

Skew-Radial Basis Function Expansions for Empirical Modeling. - Arta A. Jamshidi; Michael J. Kirby (SIAM J. Sci. Comput., 2010)

Modeling Multivariate Time Series on Manifolds with Skew Radial Basis Functions. - Arta A. Jamshidi; Michael J. Kirby (Neural Comput., 2011)

Geometric Manifold Learning. - Arta A. Jamshidi; Michael J. Kirby; David S. Broomhead (IEEE Signal Process. Mag., 2011)

A Radial Basis Function Algorithm with Automatic Model Order Determination. - Arta A. Jamshidi; Michael J. Kirby (SIAM J. Sci. Comput., 2015)