Sökning: "XAI"
Visar resultat 6 - 10 av 42 uppsatser innehållade ordet XAI.
6. Developing a highly accurate, locally interpretable neural network for medical image analysis
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : 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
7. User Preference-Based Evaluation of Counterfactual Explanation Methods
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/DatalogiSammanfattning : Explainable AI (XAI) has grown as an important field over the years. As more complicated AI systems are utilised in decision-making situations, the necessity for explanations for such systems is also increasing in order to ensure transparency and stakeholder trust. LÄS MER
8. Automatic Analysis of Peer Feedback using Machine Learning and Explainable Artificial Intelligence
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
9. Influences of simulated XAI explanations on players of economic games : A pilot study
Magister-uppsats, Umeå universitet/Institutionen för psykologiSammanfattning : 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
10. Applications of Formal Explanations in ML
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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