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

Learning rob gitlab

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.

PTSD classifier using paralinguistic analysis of my bachelor's thesis in artificial intelligence at Utrecht University.

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.