Explore projects

Bachelor Thesis Marte Voorneveld. On the changes in the atlantic meridonal overturning currents.

Code base of my Master's thesis.

(Very messy) codebase for my Master's thesis project on semi-supervised point cloud classification using label diffusion lidar segmentation

Repo for my thesis where I apply outlier detection techniques with energy grid data

BSC project done by Joep Robben on "Deep learning steerable projections using a supervised modular neural network", Supervised by Michael Behrisch

Project by Koray Poyaz and Irma Mastenbroek supervised by Michael Behrisch

Functional association via interaction prediction for pVOGs

Uncertainty-aware Personal Assistant for Making Personalized Privacy Decisions

A personal privacy assistant (PURE) helps its user make privacy decisions by recommending privacy labels (private or public) for given contents. PURE is unobtrusive, uncertainty-aware, and personalized.

In this repo, you can find how we implement PURE, Standard Neural Networks (SNN), and existing models such as Monte Carlo (MC) dropout and Deep Ensemble.

This project is maintained by Dylan Kruyff, Yuncong Yu and Michael Behrisch,

Fast local pattern search in multivariate time series with query-aware locality-sensitive hashing and relevance feedback.

A tool used to interact and understand dimensionality reduced data. It can be used to generate, view and explain point clouds!

A tool used to interact and understand dimensionality reduced data. It can be used to generate, view and explain point clouds!

A 2k parallel kernel for the cluster editing problem

Project 2 for Pattern Recognition about colorization of images using Neural Networks.