Titlebook: Computational Science – ICCS 2019; 19th International C João M. F. Rodrigues,Pedro J. S. Cardoso,Peter M.A Conference proceedings 2019 Spri

Abnormal

Automated Epileptic Seizure Detection Method Based on the Multi-attribute EEG Feature Pool and mRMR dancy maximum relevance (mRMR) is then introduced to select the most prominent features. Results in this study indicate that this method performs better than others for epileptic seizure detection using an identical dataset, and that our proposed GVIX is a prominent feature in automated epileptic se

言行自由

FLACK

SPASM

A Knowledge Based Self-Adaptive Differential Evolution Algorithm for Protein Structure Prediction every single mutation we used to compose our set of mutation operators. Moreover, a population diversity metric is used to analyze the behavior of each one of them. The proposed method was tested with ten protein sequences with different folding patterns. Results obtained showed that the self-adapt

Esophagus

Combining Polynomial Chaos Expansions and Genetic Algorithm for the Coupling of Electrophysiologicalarameters, the quality of the Genetic Algorithm dramatically improves. In addition, we test whether the use of the Polynomial Chaos Expansions improves the process of the Genetic Algorithm search. We find that it reduces the Genetic Algorithm execution in an order of . times in the case studied here

Intrepid

没血色

CRAMP

On the Role of Cost-Sensitive Learning in Imbalanced Data Oversamplingork aims to open a new direction for learning from imbalanced data, by investigating an interplay between the oversampling and cost-sensitive approaches. We show that there is a direct relationship between the misclassification cost imposed on the minority class and the oversampling ratios that aim

dysphagia

Missing Features Reconstruction and Its Impact on Classification Accuracyopose two approaches to using them for multiple features imputation. The experiments were performed on both real world and artificial datasets with continuous features where different numbers of features, varying from one feature to ., were missing. The results show that MICE and linear regression a

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