Sökning: "Explainable Artificial Intelligence"

Visar resultat 1 - 5 av 51 uppsatser innehållade orden Explainable Artificial Intelligence.

  1. 1. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis

    Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Laura Galera Alfaro; [2023]
    Nyckelord :Explainable Artificial Intelligence; Learning To Rank; Local ModelAgnostic Interpretability; Ranking Generalized Additive Models;

    Sammanfattning : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. LÄS MER

  3. 2. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Robert Iain Salter; [2023]
    Nyckelord :Behavioural Credit Scoring; Deep Learning; Machine Learning; Long Short-Term Memory; Default Prediction;

    Sammanfattning : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. LÄS MER

  4. 3. Counterfactual and Causal Analysis for AI-based Modulation and Coding Scheme Selection

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

    Författare :Kun Hao; [2023]
    Nyckelord :Explainable Artificial Intelligence; Counterfactual; Causal Analysis; Shapley Additive Explanations; Modulation and Coding Scheme; Förklarlig artificiell intelligens; kontrafaktisk analys; orsaksanalys; Shapley tillsatsförklaringar; modulerings och kodningsschema;

    Sammanfattning : Artificial Intelligence (AI) has emerged as a transformative force in wireless communications, driving innovation to address the complex challenges faced by communication systems. In this context, the optimization of limited radio resources plays a crucial role, and one important aspect is the Modulation and Coding Scheme (MCS) selection. LÄS MER

  5. 4. Evolutionary Belief Rule based Explainable AI to Predict Air Pollution

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Sharif Noor Zisad; [2023]
    Nyckelord :Explainable AI; Explainability; Transparency; Belief Rule Based Expert System; Evolutionary Algorithm; Deep Learning;

    Sammanfattning : This thesis presents a novel approach to make Artificial Intelligence (AI) more explainable by using a Belief Rule Based Expert System (BRBES). A BRBES is a type of expert system that can handle both qualitative and quantitative information under uncertainty and incompleteness by using if-then rules with belief degrees. LÄS MER

  7. 5. Operativ cybersäkerhet: för och nackdelar med AI verktyg : En Förstudie

    Kandidat-uppsats, Luleå tekniska universitet/Digitala tjänster och system

    Författare :David Jepsson; Axel Tillman; [2023]
    Nyckelord :Artificial Intelligence; AI Tools; Cybersecurity; IT Security; Explainable Artificial Intelligence; Incident Management; Security Operations Center SOC ; Security Information and Event Management SIEM ; National Institute of Standards and Technology NIST ; Artificiell Intelligens; AI-verktyg; Cybersäkerhet; IT-säkerhet; Explainable AI; Incidenthantering; Security Operations Center; SIEM; NIST;

    Sammanfattning : Denna studie undersöker för- och nackdelarna med att implementera artificiell intelligens (AI)som ett verktyg inom en Security Operations Center (SOC). Syftet med studien är att undersökaom och hur AI-verktyg kan underlätta incidenthantering inom en SOC, samt vilka nyautmaningar som uppstår. LÄS MER