A Human-In-the-Loop System for Interpreting Image Recognition Models

Interpretability of ML models and image recognition models specifaclly, is a increasing problem. In this thesis, the design and implementation of Brickroutine: a system that used a trained model, is presented. Using human annotations, semantic interpretations are given to image classification problems. By giving an iterative approach in terms of...

Property Bidding War Strategies for the Dutch Housing Market Using an Agent-Based Model

The use of certain buyer strategies in the process of property bidding is being discovered in this paper. An Agent-based model is introduced where financial statistics are based on the Dutch housing market. Three types of agents are used in this model that uses cycles of two weeks. Thee hypotheses about the market are initially formulated. In...