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Henning Heyen's Projects

criticalpaperreview-1 icon criticalpaperreview-1

This essay analyses the paper ”Predicting Livelihood Indicators from Community-Generated Street- Level Imagery” (Lee, 2021). The focus of this essay is to critically assess the approach with respect to the 17 Sustainable Development Goals (SDGs) proposed by the United Nations in 2015 and its impact on sustainability in general.

criticalpaperreview-2 icon criticalpaperreview-2

This essay critically analyses the paper ”Easy over Hard: A Case Study on Deep Learning” (2017) by Wei Fu and Tim Menzies.

foolingimageclassifiers icon foolingimageclassifiers

The goal of this project is to show how state-of-the-art image classifiers behave when the input images are out of distribution

noregretlearning icon noregretlearning

Bachelor Project TUM: Analysing Nash convergence in finite games under No Regret Learning dynamics

predictingheartdisease icon predictingheartdisease

This repository contains a machine learning tutorial on predicting heart disease based on medical features.

predictinghospitalreadmission icon predictinghospitalreadmission

The goal of this repo is to provide a realistic setting for a machine learning application. The dataset includes over 50 features representing patient and hospital outcomes. The aim is to predict which patients will need hospital readmission. This tutorial covers most steps in the ML pipeline (preprocessing, training, evaluation, interpretation...)

predictingschizophrenia icon predictingschizophrenia

The objective of this project is to utilize grey matter measurements obtained from structural MRI brain scans to create a predictor that can differentiate between schizophrenic patients and healthy controls. I am comparing three models: Logistic Regression, Random Forrest and MultiLayerPerceptron. This project is part of a RAMP challenge.

responsibleai-project icon responsibleai-project

This project aims to touch on the most important topics in the field of Responsible AI including bias, fairness, interpretability, error analysis and counterfactuals. Why apply those concepts to the adult dataset

simpletranscriberwebapp icon simpletranscriberwebapp

Simple Web Application for Transcribing Audio to Text using Open AI's Whisper AI model. Transcripts can be downloaded as pdf, docx, txt, etc.

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