From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems. - Michael Stout; Jaume Bacardit; Jonathan D. Hirst; Natalio Krasnogor; Jacek Blazewicz (EvoWorkshops, 2006)

Coordination number prediction using learning classifier systems: performance and interpretability. - Jaume Bacardit; Michael Stout; Natalio Krasnogor; Jonathan D. Hirst; Jacek Blazewicz (GECCO, 2006)

Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. - Jaume Bacardit; Michael Stout; Jonathan D. Hirst; Kumara Sastry; Xavier Llorà; Natalio Krasnogor (GECCO, 2007)

Prediction of recursive convex hull class assignments for protein residues. - Michael Stout; Jaume Bacardit; Jonathan D. Hirst; Natalio Krasnogor (Bioinform., 2008)

Data Mining in Proteomics with Learning Classifier Systems. - Jaume Bacardit; Michael Stout; Jonathan D. Hirst; Natalio Krasnogor (Learning Classifier Systems in Data Mining, 2008)

Automated Alphabet Reduction for Protein Datasets. - Jaume Bacardit; Michael Stout; Jonathan D. Hirst; Alfonso Valencia; Robert Elliott Smith; Natalio Krasnogor (BMC Bioinform., 2009)

Prediction of topological contacts in proteins using learning classifier systems. - Michael Stout; Jaume Bacardit; Jonathan D. Hirst; Robert Elliott Smith; Natalio Krasnogor (Soft Comput., 2009)

A learning classifier system with mutual-information-based fitness. - Robert Elliott Smith; Max Kun Jiang; Jaume Bacardit; Michael Stout; Natalio Krasnogor; Jonathan D. Hirst (Evol. Intell., 2010)

A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters. - Matthias Gerstgrasser; Sarah Nicholls; Michael Stout; Katherine Smart; Chris Powell; Theodore Kypraios; Dov J. Stekel (J. Bioinform. Comput. Biol., 2016)