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Using a Fuzzy Decision Tree Ensemble for Tumor Classification from Gene Expression Data.

, , , , and . IJCCI, page 320-331. SciTePress, (2013)

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A Hybrid System of Nature Inspired Metaheuristics., , and . NICSO, volume 129 of Studies in Computational Intelligence, Springer, (2007)Feature subset selection Filter-Wrapper based on low quality data., , and . Expert Syst. Appl., 40 (16): 6241-6252 (2013)Constructing Fuzzy Partitions from Imprecise Data., , and . IJCCI (ECTA-FCTA), page 379-388. SciTePress, (2011)Measuring Data Imperfection in a Neighborhood Based Method., , and . CAEPIA, volume 9422 of Lecture Notes in Computer Science, page 213-223. Springer, (2015)A Cooperative System of Metaheuristics., , and . HIS, page 120-125. IEEE Computer Society, (2007)Different Approaches for Cooperation with Metaheuristics., , , , , and . Encyclopedia of Artificial Intelligence, IGI Global, (2009)Selecting Features from Low Quality Datasets by a Fuzzy Ensemble., , and . IJCCI (Selected Papers), volume 577 of Studies in Computational Intelligence, page 229-243. Springer, (2012)Towards the Characterization of Agricultural Regions Based on Weather Conditions - Sustainable Agriculture., , and . Intelligent Environments (Workshops), volume 28 of Ambient Intelligence and Smart Environments, page 143-151. IOS Press, (2020)A More Realistic K-Nearest Neighbors Method and Its Possible Applications to Everyday Problems., , , and . Intelligent Environments, page 52-59. IEEE, (2017)Learning in a Fuzzy Random Forest ensemble from imperfect data., , and . SMC, page 277-282. IEEE, (2011)