Projects I am interested in

Continuously updated

My magnus opus

• FIONA: short for “Finding Outliers in Attributes,” is an innovative framework designed for the detection of categorical outliers within datasets. This configuration-free and user-friendly tool specializes in identifying unusual patterns in data attributes, making it invaluable for data analysis and decision-making processes. FIONA is developed as part of my Master’s thesis.

Other work:

• Data Intensive Systems: Clustering a database into sub databases with the help of O.Papakyriakou
• Pattern Set Mining and Inductive Databases: From start til end- a near complete picture.
• Big Data: An in depth look.
• Deep Learning Model applying CycleGAN for Unpaired Image Transformation (GAN) on Computer Vision with the precious contribution of P.W.O. van Aken, F.L.G. Blom, R.R. Cuevas, J.A.W. Markus & M.A. Scheeres. The github repo can be found here
• Optimizing a vaccination campaign which wouldn’t be possible without the help of Julian Markus, Leona Teunissen & Ramón R. Cuevas. The gitlab repo can be found here.
• Short and simple Monte Carlo Simulation (Deprecated)

Check out these projects as well:

• Apache Groovy, a powerful Java-syntax-compatible object-oriented programming language.

Still thinking whether Groovy is the right language?

Read my thoughts about Groovy here.

• Axe, an accessibility testing engine to ensure that are no barriers that prevent interaction with, or access to, websites by people with physical disabilities.