Evolving recurrent perceptrons for time-series modeling. - John Robert McDonnell; Donald E. Waagen (IEEE Trans. Neural Networks, 1994)

An Empirical Study of Recombination in Evolutionary Search. - John Robert McDonnell; Donald E. Waagen (Evolutionary Programming, 1995)

A Combined Stochastic and Deterministic Approach for Classification Using Generalized Mixture Densities. - Donald E. Waagen; John Robert McDonnell (Evolutionary Programming, 1995)

Evolving Spatially-Localized Projection Filters for SAR Automatic Target Recognition. - Donald E. Waagen; John Pecina; Rodney Pickens (Evolutionary Programming, 1998)

Feature Analysis Using Millimeter-Wave Real Beam and Doppler Beam Sharpening Techniques. - Mary L. Cassabaum; Jeffrey J. Rodríguez; Jack G. Riddle; Donald E. Waagen (SSIAI, 2002)

Sparse Manifold Learning with Applications to SAR Image Classification. - Visar Berisha; Nitesh Shah; Donald E. Waagen; Harry Schmitt; Salvatore Bellofiore; Andreas Spanias; Douglas Cochran (ICASSP (3), 2007)

Visualization of high dimensional image features for classification. - Marissa Dotter; Katie Rainey; Donald E. Waagen (AIPR, 2016)

Characterizing Inter-Layer Functional Mappings of Deep Learning Models. - Donald E. Waagen; Katie Rainey; Jamie Gantert; David Gray; Megan King; M. Shane Thompson; Jonathan Barton; Will Waldron; Samantha Livingston; Don Hulsey (CoRR, 2019)