Neural network initialization with prototypes - a case study in function approximation. - Jin-Song Pei; Joseph P. Wright; Andrew W. Smyth (IJCNN, 2005)

Neural Network Initialization with Prototypes - Function Approximation in Engineering Mechanics Applications. - Jin-Song Pei; Eric C. Mai; Joseph P. Wright; Andrew W. Smyth (IJCNN, 2007)

Toward constructive methods for sigmoidal neural networks - function approximation in engineering mechanics applications. - Jin-Song Pei; Joseph P. Wright; Sami F. Masri; Eric C. Mai; Andrew W. Smyth (IJCNN, 2011)

Toward Interpretable Machine Learning for Understanding Epidemic Data. - Dean Frederick Hougen; Jin-Song Pei; Sai Teja Kanneganti (IEEE BigData, 2020)

Developing Interpretable Machine Learning for Forward Kinematics of Robotic Arms. - Sai Teja Kanneganti; Jin-Song Pei; Dean Frederick Hougen (SSCI, 2021)

On computing the analytic-signal backbone of the unforced harmonic oscillator. - Joseph P. Wright; Peng F. Tang; Jin-Song Pei; François Gay-Balmaz; Joseph P. Havlicek (J. Comput. Appl. Math., 2021)