Search results for "Motion chart"

showing 2 items of 2 documents

Degree course change and student performance: a mixed-effect approach

2015

This paper focuses on students credits earning speed over time and its determinants, dealing with the huge percentage of students who do not take the degree within the legal duration in the Italian University System. A new indicator for the performance of the student career is proposed on real data, concerning the cohort of students enrolled at a Faculty of the University of Palermo (followed for 7 years). The new indicator highlights a typical zero-inflated distribution and suggests to investigate the effect of the degree course (DC) change on the student career. A mixed-effect model for overdispersed data is considered, with the aim of taking into account the individual variability as wel…

Statistics and ProbabilityMixed modelMotion chart05 social sciences050301 education01 natural sciencesCourse (navigation)Degree (temperature)010104 statistics & probabilityOverdispersionCohortComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationuniversity credits expected years to the graduation overdispersion ZIP model longitudinal data motion chartSettore SECS-S/05 - Statistica Sociale0101 mathematicsStatistics Probability and UncertaintyDuration (project management)PsychologySettore SECS-S/01 - Statistica0503 educationUniversity system
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An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals

2022

Emotion charting using multimodal signals has gained great demand for stroke-affected patients, for psychiatrists while examining patients, and for neuromarketing applications. Multimodal signals for emotion charting include electrocardiogram (ECG) signals, electroencephalogram (EEG) signals, and galvanic skin response (GSR) signals. EEG, ECG, and GSR are also known as physiological signals, which can be used for identification of human emotions. Due to the unbiased nature of physiological signals, this field has become a great motivation in recent research as physiological signals are generated autonomously from human central nervous system. Researchers have developed multiple methods for …

Support Vector MachineEmotionsWavelet AnalysisHumansElectroencephalographyElectrical and Electronic EngineeringArousalemotion charting; EEG signals; physiological signals; ECG signals; ICA; stacked autoencoder; ensemble classifierVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550BiochemistryInstrumentationAtomic and Molecular Physics and OpticsAnalytical ChemistrySensors
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