Sökning: "XAI"

Visar resultat 1 - 5 av 42 uppsatser innehållade ordet XAI.

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. 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

4. 3. Towards gradient faithfulness and beyond

   Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Vincenzo Buono; Isak Åkesson; [2023]
   Nyckelord :XAI; Visual Explanations; CAM; Grad-CAM; Expected Grad-CAM; Hyper Expected Grad; Class Activation Maps; Explainable AI; Faithfulness; Neural Network interpretability; Hyper Resolution CAM; Super Resolution CAM; Natural Encoding;

   Sammanfattning : The riveting interplay of industrialization, informalization, and exponential technological growth of recent years has shifted the attention from classical machine learning techniques to more sophisticated deep learning approaches; yet its intrinsic black-box nature has been impeding its widespread adoption in transparency-critical operations. In this rapidly evolving landscape, where the symbiotic relationship between research and practical applications has never been more interwoven, the contribution of this paper is twofold: advancing gradient faithfulness of CAM methods and exploring new frontiers beyond it. LÄS MER

5. 4. 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

7. 5. Human-Centered Explainability Attributes In Ai-Powered Eco-Driving : Understanding Truck Drivers' Perspective

   Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Ermela Gjona; [2023]
   Nyckelord :Explainable AI; XAI; human-centered explainable AI; HCXAI; explainability; AI-powered systems; eco-driving; user needs;

   Sammanfattning : The growing presence of algorithm-generated recommendations in AI-powered services highlights the importance of responsible systems that explain outputs in a human-understandable form, especially in an automotive context. Implementing explainability in recommendations of AI-powered eco-driving is important in ensuring that drivers understand the underlying reasoning behind the recommendations. LÄS MER