MOLE: A Knowledge Acquisition Tool that Uses its Head. - Larry J. Eshelman; John P. McDermott (AAAI, 1986)

MOLE: A Tenacious Knowledge-Acquisition Tool. - Larry J. Eshelman; Damien Ehret; John P. McDermott; Ming Tan (Int. J. Man Mach. Stud., 1987)

Acquiring and Complementing the Model for Diagnostic Tasks. - Hervé Lambert; Larry J. Eshelman; Yumi Iwasaki (ECAI, 1988)

Using Weighted Networks to Represent Classification Knowledge in Noisy Domains. - Ming Tan; Larry J. Eshelman (ML, 1988)

MOLE: A Knowledge Acquisition Tool that Buries Certainty Factors. - Larry J. Eshelman (Int. J. Man Mach. Stud., 1988)

Biases in the Crossover Landscape. - Larry J. Eshelman; Rich Caruana; J. David Schaffer (ICGA, 1989)

A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization. - J. David Schaffer; Rich Caruana; Larry J. Eshelman; Rajarshi Das (ICGA, 1989)

Using Multiple Representations to Improve Inductive Bias: Gray and Binary Coding for Genetic Algorithms. - Rich Caruana; J. David Schaffer; Larry J. Eshelman (ML, 1989)

Representation and Hidden Bias II: Eliminating Defining Length Bias in Genetic Search via Shuffle Crossover. - Rich Caruana; Larry J. Eshelman; J. David Schaffer (IJCAI, 1989)

The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination. - Larry J. Eshelman (FOGA, 1990)

Spurious Correlations and Premature Convergence in Genetic Algorithms. - J. David Schaffer; Larry J. Eshelman; Daniel Offutt (FOGA, 1990)

Preventing Premature Convergence in Genetic Algorithms by Preventing Incest. - Larry J. Eshelman; J. David Schaffer (ICGA, 1991)

On Crossover as an Evolutionarily Viable Strategy. - J. David Schaffer; Larry J. Eshelman (ICGA, 1991)

Real-Coded Genetic Algorithms and Interval-Schemata. - Larry J. Eshelman; J. David Schaffer (FOGA, 1992)

Crossover's Niche. - Larry J. Eshelman; J. David Schaffer (ICGA, 1993)

Designing Multiplierless Digital Filters Using Genetic Algorithms. - J. David Schaffer; Larry J. Eshelman (ICGA, 1993)

Productive Recombination and Propagating and Preserving Schemata. - Larry J. Eshelman; J. David Schaffer (FOGA, 1994)

Convergence Controlled Variation. - Larry J. Eshelman; Keith E. Mathias; J. David Schaffer (FOGA, 1996)

Crossover Operator Biases: Exploiting the Population Distribution. - Larry J. Eshelman; Keith E. Mathias; J. David Schaffer (ICGA, 1997)

The Effect of Incest Prevention on Genetic Drift. - J. David Schaffer; Murali Mani; Larry J. Eshelman; Keith E. Mathias (FOGA, 1998)

The Effects of Control Parameters and Restarts on Search Stagnation in Evolutionary Programming. - Keith E. Mathias; J. David Schaffer; Larry J. Eshelman; Murali Mani (PPSN, 1998)

Niches in NK-Landscapes. - Keith E. Mathias; Larry J. Eshelman; J. David Schaffer (FOGA, 2000)

Code Compaction Using Genetic Algorithms. - Keith E. Mathias; Larry J. Eshelman; J. David Schaffer; Lex Augusteijn; Paul F. Hoogendijk; Rik van de Wiel (GECCO, 2000)

Development and Evaluation of Predictive Alerts for Hemodynamic Instability in ICU Patients. - Larry J. Eshelman; K. P. Lee; Joseph J. Frassica; Wei Zong; Larry Nielsen; Mohammed Saeed 001 (AMIA, 2008)

A dynamic ensemble approach to robust classification in the presence of missing data. - Bryan Conroy; Larry J. Eshelman; Cristhian Potes; Minnan Xu-Wilson (Mach. Learn., 2016)