How Neural Nets Work. - Alan S. Lapedes; Robert M. Farber (NIPS, 1987)

Use of Bad Training Data for Better Predictions. - Tal Grossman; Alan S. Lapedes (NIPS, 1993)

Neural Network Definition of Highly Predictable Protein Secondary Structure Classes. - Alan S. Lapedes; Evan W. Steeg; Robert M. Farber (NIPS, 1993)

Identification of Continuous-Time Dynamical Systems: Neural Network Based Algorithms and Parallel Implementation. - Robert M. Farber; Alan S. Lapedes; Ramiro Rico-Martínez; Ioannis G. Kevrekidis (PPSC, 1993)

Noise sensitivity signatures for model selection. - Tal Grossman; Alan S. Lapedes (ICPR (2), 1994)

Neural Networks for Determining Protein Specificity and Multiple Alignment of Binding Sites. - John M. Heumann; Alan S. Lapedes; Gary D. Stormo (ISMB, 1994)

Neural Net Representations of Empirical Protein Potentials. - Tal Grossman; Robert M. Farber; Alan S. Lapedes (ISMB, 1995)

Use of Adaptive Networks to Define Highly Predictable Protein Secondary-Structure Classes. - Alan S. Lapedes; Evan W. Steeg; Robert M. Farber (Mach. Learn., 1995)

Lorentzian neural nets. - Bertrand Giraud; Alan S. Lapedes; Lon Chang Liu; Jörg C. Lemm (Neural Networks, 1995)

SAMIE: Statistical Algorithm for Modeling Interaction Energies. - Panayiotis V. Benos; Alan S. Lapedes; D. S. Fields; Gary D. Stormo (Pacific Symposium on Biocomputing, 2001)

Genetic Signatures in the Envelope Glycoproteins of HIV-1 that Associate with Broadly Neutralizing Antibodies. - S. Gnanakaran; Marcus G. Daniels; Tanmoy Bhattacharya 001; Alan S. Lapedes; Anurag Sethi; Ming Li; Haili Tang; Kelli Greene; Hongmei Gao; Barton F. Haynes; Myron S. Cohen; George M. Shaw; et al. (PLoS Comput. Biol., 2010)