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Michael Stout
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2010 – 2019
- 2016
- [j5]Matthias Gerstgrasser, Sarah Nicholls, Michael Stout, Katherine Smart, Chris Powell, Theodore Kypraios, Dov J. Stekel:
A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters. J. Bioinform. Comput. Biol. 14(3): 1650007:1-1650007:23 (2016) - 2010
- [j4]Robert Elliott Smith, Max Kun Jiang, Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst:
A learning classifier system with mutual-information-based fitness. Evol. Intell. 3(1): 31-50 (2010)
2000 – 2009
- 2009
- [j3]Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Alfonso Valencia, Robert Elliott Smith, Natalio Krasnogor:
Automated Alphabet Reduction for Protein Datasets. BMC Bioinform. 10 (2009) - [j2]Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Robert Elliott Smith, Natalio Krasnogor:
Prediction of topological contacts in proteins using learning classifier systems. Soft Comput. 13(3): 245-258 (2009) - 2008
- [j1]Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Natalio Krasnogor:
Prediction of recursive convex hull class assignments for protein residues. Bioinform. 24(7): 916-923 (2008) - [p1]Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Natalio Krasnogor:
Data Mining in Proteomics with Learning Classifier Systems. Learning Classifier Systems in Data Mining 2008: 17-46 - 2007
- [c3]Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor:
Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. GECCO 2007: 346-353 - 2006
- [c2]Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Natalio Krasnogor, Jacek Blazewicz:
From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems. EvoWorkshops 2006: 208-220 - [c1]Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst, Jacek Blazewicz:
Coordination number prediction using learning classifier systems: performance and interpretability. GECCO 2006: 247-254
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