J. C. Riquelme - Citegraph

Author Info

Name	Affiliation	Papers
J. C. RIQUELME	Department of Computer Science, University of Seville, Avda. Reina Mercedes s/n, 41012 Seville, Spain	17
Collaborators	Citations	PageRank
20	239	14.01
Referers	Referees	References
485	3166	981

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Publications (17 rows)

Collaborators (20 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Discovering gene association networks by multi-objective evolutionary quantitative association rules	12	0.49	2014
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data	9	0.54	2014
Selecting the best measures to discover quantitative association rules	11	0.56	2014
Searching for rules to detect defective modules: A subgroup discovery approach	28	0.76	2012
Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches	11	0.51	2012
Discovery of motifs to forecast outlier occurrence in time series	2	0.39	2011
Analysis of measures of quantitative association rules	4	0.40	2011
Subgroup discovery for defect prediction	2	0.37	2011
Computational intelligence techniques for predicting earthquakes	10	0.93	2011
An evolutionary algorithm to discover quantitative association rules in multidimensional time series	16	0.58	2011
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution	26	1.04	2010
Quantitative association rules applied to climatological time series forecasting	3	0.38	2009
Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines	2	0.39	2007
Natural Encoding for Evolutionary Supervised Learning	26	1.54	2007
Partitioning-clustering techniques applied to the electricity price time series	11	1.88	2007
Knowledge-based fast evaluation for evolutionary learning	13	1.05	2005
Evolutionary learning of hierarchical decision rules	53	2.21	2003

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