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Unsupervised Feature Selection Methodology for Clustering in High Dimensionality Datasets
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2020)
Centralized Algorithms Based on Clustering with Self-tuning of Parameters for Cooperative Target Observation
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2021)
Evolutionary algorithms with clustering for dynamic fitness landscapes
(Universidad Nacional de La Plata. Facultad de Informática, 2005-12)
Interest on dynamic multimodal functions risen over the last years since many real problems have this feature. On these problems, the goal is no longer to find the global optimal, but to track their progression through the ...
Social vulnerability and mining in Peru: a comparative analysisVulnerabilidad social y la minería en el Perú: un análisis comparativo
(Pontificia Universidad Católica del Perú, 2016)
SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters
(Centro Latinoamericano de Estudios en Informática, 2012-12)
The challenge of improving the performance of current processors is achieved by increasing the integration scale. This carries a growing vulnerability to transient faults, which increase their impact on multicore clusters ...
Métodos estatísticos para agrupamento não hierárquicos de dados
(Universidade de São Paulo, Instituto de Geociências, 1992)