Sökning: "Explainable artificial intelligence XAI"

Visar resultat 6 - 10 av 27 uppsatser innehållade orden Explainable artificial intelligence XAI.

  1. 6. Utvärdering av tolkningsbara maskininlärningsmodeller för att prediktera processegenskaper vid kartongtillverkning

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

    Författare :Olle Åström; [2023]
    Nyckelord :Maskininlärning; XAI;

    Sammanfattning : To produce paperboard is a complex process which requires sophisticated monitoring to achieve a paperboard of high quality. Holmen Iggesund is a company in the paperboard manufacturing industry, aiming to produce paperboard of world leading quality. Therefore, they continuously develop their knowledge the production process. LÄS MER

  3. 7. Explainable AI by Training Introspection

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Rozhin Dastkarvelayati; Soudabeh Ghafourian; [2023]
    Nyckelord :Explainable Artificial Intelligence XAI ; Model Improvement; XAI stability;

    Sammanfattning : Deep Neural Networks (DNNs) are known as black box algorithmsthat lack transparency and interpretability for humans. eXplainableArtificial Intelligence (XAI) is introduced to tackle this problem. MostXAI methods are utilized post-training, providing explanations of themodel to clarify its predictions and inner workings for human understanding. LÄS MER

  4. 8. 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. 9. What do you mean? : The consequences of different stakeholders’ logics in machine learning and how disciplinary differences should be managed within an organization

    Master-uppsats, Uppsala universitet/Institutionen för informatik och media

    Författare :Nina Eliasson; [2022]
    Nyckelord :Institutional Logics; Multi-Disciplinary Organizations; Explainable Artificial Intelligence XAI;

    Sammanfattning : This research paper identifies the disciplinary differences of stakeholders and its effects on working cross-functional in the context of machine learning. This study specifically focused on 1) how stakeholders with disciplinary differences interpret a search system, and 2) how the multi-disciplines should be managed in an organization. LÄS MER

  7. 10. 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