Sökning: "interpretability"
Visar resultat 1 - 5 av 55 avhandlingar innehållade ordet interpretability.
1. Understanding Management Ideas: The Development of Interpretability
Sammanfattning : In the face of an ever-changing, complex environment, managers in organizations need constantly to develop ideas on how to maintain competitiveness. One way to address this challenge comes in the form of ideas about how to manage – or management ideas (MIs). LÄS MER
2. Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things : Enhancing COVID-19 & Early Sepsis Detection
Sammanfattning : This thesis presents a critical examination of the positive impact of Machine Learning (ML) and the Internet of Medical Things (IoMT) for advancing the Clinical Decision Support System (CDSS) in the context of COVID-19 and early sepsis detection.It emphasizes the transition towards patient-centric healthcare systems, which necessitate personalized and participatory care—a transition that could be facilitated by these emerging fields. LÄS MER
3. Contributions to the Metamathematics of Arithmetic: Fixed Points, Independence, and Flexibility
Sammanfattning : This thesis concerns the incompleteness phenomenon of first-order arithmetic: no consistent, r.e. theory T can prove every true arithmetical sentence. The first incompleteness result is due to Gödel; classic generalisations are due to Rosser, Feferman, Mostowski, and Kripke. LÄS MER
4. Interpretable, Interaction-Aware Vehicle Trajectory Prediction with Uncertainty
Sammanfattning : Autonomous driving technologies have recently made great strides in development, with several companies and research groups getting close to producing a vehicle with full autonomy. Self-driving cars introduce many advantages, including increased traffic safety and added ride-sharing capabilities which reduce environmental effects. LÄS MER
5. Context-based explanations for machine learning predictions
Sammanfattning : In recent years, growing concern regarding trust in algorithmic decision-making has drawn attention to more transparent and interpretable models. Laws and regulations are moving towards requiring this functionality from information systems to prevent unintended side effects. LÄS MER