Explainable Distance-Based Outlier Detection in Data Streams

Explaining outliers is a topic that attracts a lot of interest; however existing proposals focus on the Organization identification of the relevant dimensions.We extend this rationale for unsupervised distance-based outlier detection, and through investigating subspaces, we propose a novel labeling of outliers in a manner that is intuitive for the

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Negative Correlation Between Functional Connectivity and Small-Worldness in the Alpha Frequency Band of a Healthy Brain

The aim of the study was to analyze the relationship between resting state electroencephalographic (EEG) alpha functional pedal left connectivity (FC) and small-world organization.For that purpose, Pearson correlation was calculated between FC and small-worldness (SW).Three undirected FC measures were used: magnitude-squared coherence (MSC), imagin

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Appropriate practice of anesthesia: A plea for better training

Background: The role of the anesthesiologist is often unknown among patients.But, the situation where the anesthesiologist is uncertain of his/her function gives more cause for concern.Methods: A questionnaire survey on the appraisal of anesthetic practices was carried out over 5 months using the style of clinical practice.Results: One-third of the

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