John H. Holmes

	2008
18		Larry Bull, Ester Bernadó-Mansilla, John H. Holmes: Learning Classifier Systems in Data Mining Springer 2008
17		Larry Bull, Ester Bernadó-Mansilla, John H. Holmes: Learning Classifier Systems in Data Mining: An Introduction. Learning Classifier Systems in Data Mining 2008: 1-15
	2007
16		John H. Holmes, Niels Peek: Intelligent data analysis in biomedicine. Journal of Biomedical Informatics 40(6): 605-608 (2007)
	2006
15		Blaz Zupan, John H. Holmes, Riccardo Bellazzi: Knowledge-based data analysis and interpretation. Artificial Intelligence in Medicine 37(3): 163-165 (2006)
	2005
14		John H. Holmes, Jennifer A. Sager: Rule Discovery in Epidemiologic Surveillance Data Using EpiXCS: An Evolutionary Computation Approach. AIME 2005: 444-452
13		John H. Holmes: Detection of sentinel predictor-class associations with XCS: a sensitivity analysis. GECCO Workshops 2005: 67-71
12		John H. Holmes, Jennifer A. Sager, Warren B. Bilker: Three Methods for Covering Missing Input Data in XCS. IWLCS 2005: 181-192
11		John H. Holmes: Detection of Sentinel Predictor-Class Associations with XCS: A Sensitivity Analysis. IWLCS 2005: 270-281
10		John H. Holmes, Jennifer A. Sager: The EpiXCS Workbench: A Tool for Experimentation and Visualization. IWLCS 2005: 333-344
	2003
9		Lewis Hassell, John H. Holmes: Modeling the Workflow of Prescription Writing. SAC 2003: 235-239
	2002
8		John H. Holmes, Warren B. Bilker: The Effect of Missing Data on Learning Classifier System Learning Rate and Classification Performance. IWLCS 2002: 46-60
7		John H. Holmes, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson: Learning classifier systems: New models, successful applications. Inf. Process. Lett. 82(1): 23-30 (2002)
	2001
6		John H. Holmes: A Representation for Accuracy-Based Assessment of Classifier System Prediction Performance. IWLCS 2001: 43-56
	2000
5		John H. Holmes: Applying a Learning Classifier System to Mining Explanatory and Predictive Models from a Large Clinical Database. IWLCS 2000: 103-113
4		John H. Holmes, Dennis R. Durbin, Flaura K. Winston: A New Bootstrapping Method to Improve Classification Performance in Learning Classifier Systems. PPSN 2000: 745-754
3		John H. Holmes, Dennis R. Durbin, Flaura K. Winston: The learning classifier system: an evolutionary computation approach to knowledge discovery in epidemiologic surveillance. Artificial Intelligence in Medicine 19(1): 53-74 (2000)
	1999
2		John H. Holmes: Learning Classifier Systems Applied to Knowledge Discovery in Clinical Research Databases. Learning Classifier Systems 1999: 243-262
	1997
1		John H. Holmes: Discovering Risk of Disease with a Learning Classifier System. ICGA 1997: 426-433

Coauthor Index

1	Riccardo Bellazzi	[15]
2	Ester Bernadó-Mansilla (Ester Bernadó i Mansilla)	[17] [18]
3	Warren B. Bilker	[8] [12]
4	Larry Bull	[17] [18]
5	Dennis R. Durbin	[3] [4]
6	Lewis Hassell	[9]
7	Pier Luca Lanzi	[7]
8	Niels Peek	[16]
9	Jennifer A. Sager	[10] [12] [14]
10	Wolfgang Stolzmann	[7]
11	Stewart W. Wilson	[7]
12	Flaura K. Winston	[3] [4]
13	Blaz Zupan	[15]

Colors in the list of coauthors