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Genetic Programming and Evolvable Machines|May 21, 2019
Automated discovery of test statistics using genetic programmingJason H Moore, Randal S Olson, Yong Chen, et al.Memetic Computing|December 31, 2019
OMNIREP: Originating Meaning by Coevolving Encodings and RepresentationsMoshe Sipper, Jason H MooreScientific Reports|February 12, 2021
Conservation machine learning: a case study of random forestsMoshe Sipper, Jason H MooreBiodata Mining|December 13, 2019
Correction to: Investigating the parameter space of evolutionary algorithmsMoshe Sipper, Weixuan Fu, Karuna Ahuja, et al.Bioinformatics (Oxford, England)|May 24, 2018
EBIC: an evolutionary-based parallel biclustering algorithm for pattern discoveryPatryk Orzechowski, Moshe Sipper, Xiuzhen Huang, et al.Biodata Mining|February 23, 2018
Investigating the parameter space of evolutionary algorithmsMoshe Sipper, Weixuan Fu, Karuna Ahuja, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methodsJason H Moore, Maksim Shestov, Peter Schmitt, et al.Artificial Life|February 7, 2020
How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human DiseasesJason H Moore, Randal S Olson, Peter Schmitt, et al.Journal of Biomedical Informatics|July 22, 2018
Benchmarking relief-based feature selection methods for bioinformatics data miningRyan J Urbanowicz, Randal S Olson, Peter Schmitt, et al.Pageof 50