Avancerad sökning

Visar resultat 1 - 5 av 27 uppsatser som matchar ovanstående sökkriterier.

  1. 1. 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

  3. 2. 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

  4. 3. Automatic Analysis of Peer Feedback using Machine Learning and Explainable Artificial Intelligence

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

    Författare :Kevin Huang; [2023]
    Nyckelord :Text classification; Peer feedback; Explainable Artificial Intelligence; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM education; Textklassificering; Feedback till kamrater; Förklarig Artificiell Intelligens; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM-utbildning;

    Sammanfattning : Peer assessment is a process where learners evaluate and provide feedback on one another’s performance, which is critical to the student learning process. Earlier research has shown that it can improve student learning outcomes in various settings, including the setting of engineering education, in which collaborative teaching and learning activities are common. LÄS MER

  5. 4. Influences of simulated XAI explanations on players of economic games : A pilot study

    Magister-uppsats, Umeå universitet/Institutionen för psykologi

    Författare :Hannibal Tomasson Izquierdo; [2023]
    Nyckelord :Explainable Artificial Intelligence; Decision Support Systems; Public Good Games; Mental Models; Behavioural Economics; Decision Making;

    Sammanfattning : This pilot study has the twofold purpose of analyzing the effect of XAI explanations on the mental models of economic games participants, and testing the feasibility of the methodology devised for it. To achieve this, we compared the contribution behavior and mental models of 30 participants playing a public good game. LÄS MER

  7. 5. Applications of Formal Explanations in ML

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

    Författare :Nikolaos Smyrnioudis; [2023]
    Nyckelord :Machine Learning; eXplainable Artifical Intelligence; Formal Verification of Machine Learning models; Maskininlärning; förklarbar artificiell intelligens; formell verifiering av maskininlärningsmodeller;

    Sammanfattning : The most performant Machine Learning (ML) classifiers have been labeled black-boxes due to the complexity of their decision process. eXplainable Artificial Intelligence (XAI) methods aim to alleviate this issue by crafting an interpretable explanation for a models prediction. LÄS MER