Essays about: "Shapley Additive Explanations"
Showing result 1 - 5 of 20 essays containing the words Shapley Additive Explanations.
-
1. Real-time Energy Performance Tracking
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : 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. READ MORE
-
2. Increasing explainability of neural network based retail credit risk models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Due to their ’black box’ nature, Artificial Neural Networks (ANN) are not permitted for use in various applications. One such application is mortgage credit risk modeling. READ MORE
-
3. Counterfactual and Causal Analysis for AI-based Modulation and Coding Scheme Selection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
-
4. Evolutionary Belief Rule based Explainable AI to Predict Air Pollution
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis presents a novel approach to make Artificial Intelligence (AI) more explainable by using a Belief Rule Based Expert System (BRBES). A BRBES is a type of expert system that can handle both qualitative and quantitative information under uncertainty and incompleteness by using if-then rules with belief degrees. READ MORE
-
5. Estimating Brain Maturation in Very Preterm Neonates : An Explainable Machine Learning Approach
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Introduction: Assessing brain maturation in preterm neonates is essential for the health of the neonates. Machine learning methods have been introduced as a prospective assessment tool for neonatal electroencephalogram(EEG) signals. READ MORE