Sökning: "SHAP"

Visar resultat 1 - 5 av 24 uppsatser innehållade ordet SHAP.

  1. 1. Detektera mera! : Maskininlärningsmetoder mot kreditkortsbedrägerier

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Elin Jönsson; [2022]
    Nyckelord :AI; Artificiell Intelligens; Maskininlärning; Detektering; Kreditkort; Kortbedrägeri; XAI; Förklarande AI; SHAP;

    Sammanfattning : I denna kandidatuppsats undersöks och utvärderas maskininlärningsmetoder för bedrägeridetektering inom kreditkortsbedrägerier med syfte att identifiera problemområden och ange förbättringar. Trots utvecklingen och framfarten av artificiell intelligens (AI), finns det fortfarande problem med att framgångsrikt klassificera kreditkortsbedrägerier. LÄS MER

  2. 2. Using XAI Tools to Detect Harmful Bias in ML Models

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Klaus Virtanen; [2022]
    Nyckelord :Explainable AI; XAI; Machine Learning; Bias; Bias in Machine Learning; LIME; SHAP;

    Sammanfattning : In the past decade, machine learning (ML) models have become farmore powerful, and are increasingly being used in many important contexts. At the same time, ML models have become more complex, and harder to understand on their own, which has necessitated an interesting explainable AI (XAI), a field concerned with ensuring that ML and other AI system can be understood by human users and practitioners. LÄS MER

  3. 3. Survivability Prediction and Analysis using Interpretable Machine Learning : A Study on Protecting Ships in Naval Electronic Warfare

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Sidney Rydström; [2022]
    Nyckelord :Electronic warfare; machine learning; statistics; Artificial Neural Networks; ANN; multi-layer perceptron; multi-task learning; interpretable machine learning; Shapley values; kernel SHAP;

    Sammanfattning : Computer simulation is a commonly applied technique for studying electronic warfare duels. This thesis aims to apply machine learning techniques to convert simulation output data into knowledge and insights regarding defensive actions for a ship facing multiple hostile missiles. LÄS MER

  4. 4. Enhancement of an Ad Reviewal Process through Interpretable Anomaly Detecting Machine Learning Models

    Master-uppsats, Linköpings universitet/Interaktiva och kognitiva system

    Författare :Eric Dahlgren; [2022]
    Nyckelord :Interpretable Machine Learning; Explainable AI; Anomaly Detection;

    Sammanfattning : Technological advancements made in recent decades in the fields of artificial intelligence (AI) and machine learning (ML) has lead to further automation of tasks previously performed by humans. Manually reviewing and assessing content uploaded to social media and marketplace platforms is one of said tasks that is both tedious and expensive to perform, and could possibly be automated through ML based systems. LÄS MER

  5. 5. Explainable Artificial Intelligence for Radio Resource Management Systems : A diverse feature importance approach

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Alexandru-Daniel Marcu; [2022]
    Nyckelord :Explainable artificial intelligence XAI ; Explainability pipeline; Feature importance; Kernel SHAP; CERTIFAI; Anchors; XAI in wireless systems; XAI for radio resource management; Förklarande artificiell intelligens XAI ; Förklarande pipeline; Prediktor betydelse; Kernel SHAP; CERTIFAI; Anchors; XAI i trådlösa system; XAI för radioresurshantering;

    Sammanfattning : The field of wireless communications is arguably one of the most rapidly developing technological fields. Therefore, with each new advancement in this field, the complexity of wireless systems can grow significantly. LÄS MER