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Predicting Molecular Functions in Plants using Wavelet-based Motifs., , , , and . BIOINFORMATICS, page 140-145. SciTePress, (2013)A Methodology for Optimizing the Cost Matrix in Cost Sensitive Learning Models applied to Prediction of Molecular Functions in Embryophyta Plants., , , and . BIOINFORMATICS, page 71-80. SciTePress, (2013)Contact potentials via wavelet transform for prediction of subcellular localizations in gram negative bacterial proteins., , and . EMBC, page 643-646. IEEE, (2013)Prediction of protein subcellular localization based on variable-length motifs detection and dissimilarity based classification., , , and . EMBC, page 945-948. IEEE, (2011)Predictability of gene ontology slim-terms from primary structure information in Embryophyta plant proteins., , , and . BMC Bioinform., (2013)Efficient Hyperparameter Optimization in Convolutional Neural Networks by Learning Curves Prediction., , , and . CIARP, volume 10657 of Lecture Notes in Computer Science, page 143-151. Springer, (2017)Deep Convolutional Neural Networks and Power Spectral Density Features for Motor Imagery Classification of EEG Signals., , , and . HCI (15), volume 10915 of Lecture Notes in Computer Science, page 158-169. Springer, (2018)Dynamic signature for a closed-set identification based on nonlinear analysis., , , and . IJCB, page 1-8. IEEE Computer Society, (2011)Managing Imbalanced Data Sets in Multi-label Problems: A Case Study with the SMOTE Algorithm., , , and . CIARP (1), volume 8258 of Lecture Notes in Computer Science, page 334-342. Springer, (2013)Multiobjective optimization-based design of wearable electrocardiogram monitoring systems., , and . EMBC, page 3029-3032. IEEE, (2014)