Essays about: "Explainable Artificial Intelligence"
Showing result 1 - 5 of 48 essays containing the words Explainable Artificial Intelligence.
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1. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. READ MORE
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2. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : 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. READ MORE
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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
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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
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5. Automatic Analysis of Peer Feedback using Machine Learning and Explainable Artificial Intelligence
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE