Sökning: "XAI implementation"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden XAI implementation.

  1. 1. Real-time Energy Performance Tracking

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Huu Thien Nguyen; [2023]
    Nyckelord :;

    Sammanfattning : Energy performance tracking is becoming increasingly significant in the building industry as a means of improving energy efficiency. This thesis provides answers to the questions related to improving energy tracking system in general, including its potentials, problems and challenges. LÄS MER

  3. 2. Developing a highly accurate, locally interpretable neural network for medical image analysis

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

    Författare :Rony David Ventura Caballero; [2023]
    Nyckelord :XAI; Interpretability; Computer vision; Pediatric pneumonia; Chest radiograph;

    Sammanfattning : Background Machine learning techniques, such as convolutional networks, have shown promise in medical image analysis, including the detection of pediatric pneumonia. However, the interpretability of these models is often lacking, compromising their trustworthiness and acceptance in medical applications. LÄS MER

  4. 3. Explainable Machine Learning for Lead Time Prediction : A Case Study on Explainability Methods and Benefits in the Pharmaceutical Industry

    Master-uppsats, KTH/Hållbar produktionsutveckling (ML)

    Författare :Paul Fussenegger; Niklas Lange; [2022]
    Nyckelord :Lead time; machine learning; explainability; regression analysis; production planning and control; Ledtid; maskininlärning; förklarbarhet; regressionsanalys; produktionsplanering och produktionsstyrning;

    Sammanfattning : Artificial Intelligence (AI) has proven to be highly suitable for a wide range of problems in manufacturing environments, including the prediction of lead times. Most of these solutions are based on ”black-box” algorithms, which hinder practitioners to understand the prediction process. LÄS MER

  5. 4. Interpretable Outlier Detection in Financial Data : Implementation of Isolation Forest and Model-Specific Feature Importance

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

    Författare :Vilhelm Söderström; Kasper Knudsen; [2022]
    Nyckelord :Outlier Detection; Explainable artificial intelligence; XAI; Isolation Forest; MI-Local-DIFFI;

    Sammanfattning : Market manipulation has increased in line with the number of active players in the financialmarkets. The most common methods for monitoring financial markets are rule-based systems,which are limited to previous knowledge of market manipulation. LÄS MER

  7. 5. Explaining Automated Decisions in Practice : Insights from the Swedish Credit Scoring Industry

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Filip Matz; Yuxiang Luo; [2021]
    Nyckelord :Explainable Artificial Intelligence; XAI implementation; Automated Decisions; Understandability; Interpretability; Practical Framework; Credit Scoring; Förklarbar artificiell intelligens; XAI implementation; automatiserade beslut; förklarbarhet; praktiskt ramverk; kreditupplysning;

    Sammanfattning : The field of explainable artificial intelligence (XAI) has gained momentum in recent years following the increased use of AI systems across industries leading to bias, discrimination, and data security concerns. Several conceptual frameworks for how to reach AI systems that are fair, transparent, and understandable have been proposed, as well as a number of technical solutions improving some of these aspects in a research context. LÄS MER