On this page I show some of the cool projects I made over the years.
In my master thesis, I demonstrate how Concept Bottleneck models can produce deceptive explainability, meaning that they first make a prediction and then come up with and explanation to justify the prediction without the explanation telling anything about which concept is present..
In my bachelor's thesis, I used to show that I can use Archetypical Analysis on data from the European Social Survey to recreate Schwarts's theory of basic human values as archetypes. The thesis also describes a method to perform Achetypical Analysis on ordinal data, while my method failed to scale probably to a new scale others were able to build on my work and publish it.
The first project I made in my Bachelor was to use transfere learning to predict what emotions an image would evoke in humans Note: PDF in Danish
Does a robot expressing emotions change its ability to influence humans in a gaze cueing task? We found no significant effects. But I learned to perform Cognitive science experiments.
Like everyone else I proved that I know Reinforcement Learning by implementing a classical project from Sutton and Barto
Could you be an etichal investor and still make money, in this portfolio optimisation project I include ESG scores in an Markowitz portfolio optimisation. Most interesting part was to see and algoritme perform utilitarian calculations.
This project try to use pre-trained CNNs to map outliere EEG signlas for the company brain capture
A small social graph project where we explore what MBTI personality types are on reddit what types talk together and the sentiment of the conversations.