Kucklick, Jan-Peter: Multi-view learning and explainable artificial intelligence for real estate appraisal : von Jan-Peter Kucklick. Paderborn, 2023
Inhalt
- Synopsis
- Introduction
- Background
- Real estate appraisal for tabular data
- Real estate appraisal in the economic context
- Hedonic real estate appraisal
- Machine Learning for real estate appraisal
- Deep Learning for image data
- Multi-view learning
- Explainable Artificial Intelligence
- Technical aspects of Explainable Artificial Intelligence
- Socio aspects of Explainable Artificial Intelligence
- Related work in multi-view real estate appraisal
- Methodology
- Results
- Discussion
- Reflection on research results
- Predictive power of different data views
- Predictive performance of multi-view learning strategies
- Explainability of multi-view learning real estate appraisal algorithms
- Improvement of real estate appraisal models
- Implications
- Closure
- Publications
- A Comparison of Multi-View Learning Strategies for Satellite Image-based Real Estate Appraisal
- Quantifying the Impact of Location Data for Real Estate Appraisal - A GIS-Based Deep Learning Approach
- Visual Interpretability of Image-based Real Estate Appraisal
- Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal
- Elucidating the Predictive Power of Search and Experience Qualities for Pricing of Complex Goods – A Machine Learning-based Study on Real Estate Appraisal
- HIEF: A Holistic Interpretability and Explainability Framework
- Bibliography