Titlebook: International Joint Conference SOCO’18-CISIS’18-ICEUTE’18; San Sebastián, Spain Manuel Graña,José Manuel López-Guede,Emilio Corcha Conferen

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Enhancing Confusion Entropy as Measure for Evaluating Classifiersork we focus on Confusion Entropy (CEN), a measure based in Shannon’s Entropy. We introduce a modification of this measure that overcomes its disadvantages in the binary case that disables it as a suitable measure to compare classifiers. We compare this modification with CEN and other measures, pres

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The Right to Honour on Social Networks: Detection and Classifications of Usersto spread information quickly and easily so that everyone can benefit. Users are becoming more inclined to voice their opinions, networks are willing to listen and technology has an enormous outreach. A priori, something that seems a great advantage can become a big problem when the news spread viol

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Classification Improvement for Parkinson’s Disease Diagnosis Using the Gradient Magnitude in DaTSCANs Disease (PD) is characterized by a marked reduction of intensity at . area, measuring intensities in this region is considered as a good marker for this neurological disorder. To extend this idea, we have been studying how quick these values decrease. A simple way to do this was using the gradient