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

A 2k parallel kernel for the cluster editing problem

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

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

Scrapes Google Images for Kinetikids data Based on https://github.com/ohyicong/Google-Image-Scraper.git

Functional association via interaction prediction for pVOGs

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!

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

Code base of my Master's thesis.

Using Graph Embeddings for Matrix Reordering

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

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

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.

Project by Koray Poyaz and Irma Mastenbroek supervised by Michael Behrisch