All Outputs (25)

Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research. (2016)
Journal Article
MORENO-GARCÍA, C.F., ACEVES-MARTINS, M. and SERRATOSA, F. 2016. Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research. Computación y sistemas [online], 20(1), pages 7-17. Available from: https://doi.org/10.13053/CyS-20-1-2360

When trying to synthesize information from multiple sources and perform a statistical review to compare them, particularly in the medical research field, several statistical tools are available, most common are the systematic review and the meta-anal... Read More about Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research..

Effectiveness of social marketing strategies to reduce youth obesity in European school-based interventions: A systematic review and meta-analysis. (2016)
Journal Article
ACEVES-MARTINS, M., LLAURDÓ, E., TARRO, L., MORENO-GARCÍA, C.F., TRUJILLO ESCOBAR, T.G., SOLÁ, R. and GIRALT, M. 2016. Effectiveness of social marketing strategies to reduce youth obesity in European school-based interventions: a systematic review and meta-analysis. Nutrition reviews [online], 74(5), pages 337-351. Available from: https://doi.org/10.1093/nutrit/nuw004

Context: The use of social marketing to modify lifestyle choices could be helpful in reducing youth obesity. Some or all of the 8 domains of the National Social Marketing Centre's social marketing benchmark criteria (SMBC) are often used but not alwa... Read More about Effectiveness of social marketing strategies to reduce youth obesity in European school-based interventions: A systematic review and meta-analysis..

Online learning the consensus of multiple correspondences between sets. (2015)
Journal Article
MORENO-GARCÍA, C.F. and SERRATOSA, F. 2015. Online learning the consensus of multiple correspondences between sets. Knowledge-based systems [online], 90, pages 49-57. Available from: https://doi.org/10.1016/j.knosys.2015.09.034

When several subjects solve the assignment problem of two sets, differences on the correspondences computed by these subjects may occur. These differences appear due to several factors. For example, one of the subjects may give more importance to som... Read More about Online learning the consensus of multiple correspondences between sets..

Correspondence consensus of two sets of correspondences through optimisation functions. (2015)
Journal Article
MORENO-GARCÍA, C.F. and SERRATOSA, F. 2017. Correspondence consensus of two sets of correspondences through optimisation functions. Pattern analysis and applications [online], 20(1), pages 201-213. Available from: https://doi.org/10.1007/s10044-015-0486-y

We present a consensus method which, given the two correspondences between sets of elements generated by separate entities, enounces a final correspondence consensus considering the existence of outliers. Our method is based on an optimisation techni... Read More about Correspondence consensus of two sets of correspondences through optimisation functions..

Fast and efficient palmprint identification of a small sample within a full image. (2014)
Journal Article
MORENO-GARCIA, C.F. and SERRATOSA, F. 2014. Fast and efficient palmprint identification of a small sample within a full image. Computación y sistemas [online], 18(4), pages 683-691. Available from: https://doi.org/10.13053/CyS-18-4-2059

In some fields like forensic research, experts demand that a found sample of an individual can be matched with its full counterpart contained in a database. The found sample may present several characteristics that make this matching more difficult t... Read More about Fast and efficient palmprint identification of a small sample within a full image..