Bachelor and Master Projects in Machine Learning and Natural Computing
DESCRIPTION
Machine Learning and Natural Computing are core research areas in Computer Science with
challenging real-life applications in diverse domains. We offer challenging master
projects in computer science and artificial intelligence on both theory and real-life application problems. These projects are in part related to research performed
in the Machine Learning group.
Bachelor projects are also offered, and consist of sub-topics of
master projects. Of course, also master projects on these topics based on
your ideas are possible, just discuss them with us.
Elena Marchiori: elenam AT cs DOT ru DOT nl
Topics for master projects
- Representation learning with deep learning.
The effectiveness of machine learning algorithms generally depends on data representation. In this project you will investigate unsupervised feature learning and deep learning, with applications to image analysis.
Reference paper. Representation Learning: A Review and New Perspectives. Available at http://arxiv.org/abs/1206.5538
- Community detection in networks.
Community structures are quite common in real networks. For instance, social networks include community groups.
In this project you will investigate advanced methods for discovering community structure in real-life networks.
Reference paper. Stability of graph communities across time scales. Available at http://www.pnas.org/content/107/29/12755.abstract
- Natural Computing.
Any challenging problem/phenomena you want to tackle/study using Natural Computing.
Reference. Wikipedia. http://en.wikipedia.org/wiki/Natural_computing