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Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach.

, , , , , and . ICDM, page 1085-1090. IEEE Computer Society, (2014)

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Relational Learning for Sustainable Health., , and . Computational Sustainability, volume 645 of Studies in Computational Intelligence, Springer, (2016)Sum-Product Networks for Hybrid Domains., , , , , and . CoRR, (2017)A Pattern Matching Approach for the Estimation of Alignment Between Any Two Given DNA Sequences., , and . J. Medical Systems, 31 (4): 247-253 (2007)A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain., , , , , , , , and . ICMLA (1), page 203-208. IEEE, (2012)3-D medical image compression using 3-D wavelet coders., and . Digit. Signal Process., 21 (1): 100-109 (2011)Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms., and . Expert Syst. Appl., (2018)Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach., , , , , and . ILP, volume 10759 of Lecture Notes in Computer Science, page 94-111. Springer, (2017)Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice., , , , and . CoRR, (2019)Pattern recognition of spectral entropy features for detection of alcoholic and control visual ERP's in multichannel EEGs., and . Brain Informatics, 4 (2): 147-158 (2017)Comparison of t-test ranking with PCA and SEPCOR feature selection for wake and stage 1 sleep pattern recognition in multichannel electroencephalograms., and . Biomed. Signal Process. Control., (2017)