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Classifiers based on Bernoulli mixture models for text mining and handwriting recognition tasks., and . IJCNN, page 2169-2175. IEEE, (2008)Impact of a metric of association between two variables on performance of filters for binary data., , and . Neurocomputing, (2014)Machine learning using Bernoulli mixture models: Clustering, rule extraction and dimensionality reduction., , and . Neurocomputing, (2013)Analysis of imputation bias for feature selection with missing data., , , , , , and . ESANN, (2018)Feature Selection Based on Class-Dependent Densities for High-Dimensional Binary Data., , and . IEEE Trans. Knowl. Data Eng., 24 (3): 465-477 (2012)LEFT-Logical Expressions Feature Transformation: A Framework for Transformation of Symbolic Features.. ISNN (2), volume 7368 of Lecture Notes in Computer Science, page 149-158. Springer, (2012)Gaussian Cellular Automata Model for the Classification of Points Inside 2D Grid Patterns., and . FIT, page 350-355. IEEE Computer Society, (2017)First Connectomics Challenge: From Imaging to Connectivity., , , , , , , , and . Neural Connectomics, volume 46 of JMLR Workshop and Conference Proceedings, page 1-22. JMLR.org, (2014)Design of the first neuronal connectomics challenge: From imaging to connectivity., , , , , , , , , and . IJCNN, page 2600-2607. IEEE, (2014)Biases in feature selection with missing data., , , , , , and . Neurocomputing, (2019)