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Findings on ranking evaluation functions for feature weighting in image retrieval.

, , , , and . J. Braz. Comp. Soc., 20 (1): 7:1-7:10 (2014)

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Image retrieval employing genetic dissimilarity weighting and feature space transformation functions., , , and . SAC, page 1012-1017. ACM, (2012)Adaptive Image Retrieval through the Use of a Genetic Algorithm., , and . ICTAI (1), page 557-564. IEEE Computer Society, (2007)Findings on ranking evaluation functions for feature weighting in image retrieval., , , , and . J. Braz. Comp. Soc., 20 (1): 7:1-7:10 (2014)Feature selection by genetic algorithms to improve ranking and classification models.. University of São Paulo, Brazil, (2011)ndltd.org (oai:agregador.ibict.br.BDTD_USP:oai:teses.usp.br:tde-19072011-151501).Improving the ranking quality of medical image retrieval using a genetic feature selection method., , , , and . Decis. Support Syst., 51 (4): 810-820 (2011)Mineração de regras de associação temporais quantitativas por meio de algoritmo genético Quantitative temporal association rule mining by genetic algorithm., , and . SBSI, page 195-202. ACM, (2015)An image retrieval system adaptable to user's interests by the use of relevance feedback via genetic algorithm., , and . WebMedia, page 45-52. ACM, (2006)Silhouette-based feature selection for classification of medical images., , , , and . CBMS, page 315-320. IEEE Computer Society, (2010)H-Metric: Characterizing Image Datasets via Homogenization Based on KNN-Queries., , , and . Data Sci. J., (2011)Ranking evaluation functions to improve genetic feature selection in content-based image retrieval of mammograms., , , , and . CBMS, page 1-8. IEEE Computer Society, (2009)