首页|Researchers from University of Nis Publish Findings in Machine Learning (Applyin g eXplainable AI Techniques to Interpret Machine Learning Predictive Models for the Analysis of Problematic Internet Use among Adolescents)
Researchers from University of Nis Publish Findings in Machine Learning (Applyin g eXplainable AI Techniques to Interpret Machine Learning Predictive Models for the Analysis of Problematic Internet Use among Adolescents)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om the University of Nis by NewsRx correspondents, research stated, "This resear ch focusses on the potential application of artificial intelligence (AI) techniq ues in the analysis of behavioural addictions, specifically addressing problemat ic Internet use among adolescents." The news reporters obtained a quote from the research from University of Nis: "U sing tabular data from a representative sample from Serbian high schools, the au thors investigated the feasibility of employing eXplainable AI (XAI) techniques, placing special emphasis on feature selection and feature importance methods. T he results indicate a successful application to tabular data, with global interp retations that effectively describe predictive models. These findings align with previous research, which confirms both relevance and accuracy. Interpretations of individual predictions reveal the impact of features, especially in cases of misclassified instances, underscoring the significance of XAI techniques in erro r analysis and resolution. Although AI's influence on the medical domain is subs tantial, the current state of XAI techniques, although useful, is not yet advanc ed enough for the reliable interpretation of predictions."
University of NisCyborgsEmerging Tec hnologiesMachine Learning
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