A general framework for statistical performance comparison of evolutionary computation algorithms. - David Shilane; Jarno Martikainen; Sandrine Dudoit; Seppo J. Ovaska (Inf. Sci., 2008)

Time-Dependent Performance Comparison of Evolutionary Algorithms. - David Shilane; Jarno Martikainen; Seppo J. Ovaska (ICANNGA, 2009)

A Discrete Optimization Problem for Benchmarking Heuristic Algorithms Targeted for Digital Filter Design. - Seppo J. Ovaska; David Shilane (Int. J. Comput. Their Appl., 2012)

Work-in-Progress - A 360 Virtual Reality Simulation to Prepare Social Work Students to Interact with Community Environments. - Nicholas Lanzieri; Henry Samelson; Elizabeth McAlpin; David Shilane (iLRN, 2020)

Automated Feature Reduction in Machine Learning. - David Shilane (CCWC, 2022)

A Coding Translation to Increase the Efficiency of Programmatic Data Analyses. - David Shilane (CCWC, 2023)

A Metaprogramming Algorithm to Simplify the Coding Syntax of Data Analysis Methods. - David Shilane (UEMCON, 2023)

Machine Learning Methods to Predict Telehealth Utilization. - David Shilane; Ting'An Heidi Lu; Zhenyi Zheng (UEMCON, 2023)

Classification Models and Feature Engineering for Non-Intrusive Load Monitoring. - David Shilane; Ashwathi Prakash Nair (UEMCON, 2024)