Projects
Mining multi-omics interaction data to reveal the determinants and evolution of host-pathogen disease susceptibility. University of Antwerp
Machine learning for data mining and its applications. University of Antwerp
Machine learning for data mining and its applications. University of Antwerp
Mining multi-omics interaction data to reveal the determinants and evolution of host-pathogen disease susceptibility. University of Antwerp
Personalised, interactive, and visual exploratory mining of patterns in complex data Ghent University
Pattern mining in complex data is currently a tedious task: it requires expertise in statistics, programming, and specific software, it is labour intensive, and time consuming. We aim to remedy this situation through development of computer-guided interactive data visualisation tools. These developments aim to also enable non-specialists to accessibly explore data.
Data mining for privacy in social networks. KU Leuven
Machine Learning for Data Mining Applications in Cancer Genomics Vrije Universiteit Brussel
The most exciting aspect of ML is the No Free Lunch principle that states no single ML-algorithm is optimal on types of problems, andhence therefore you can’t have a priori knowledge if any onetechnique is the most suitable for a particular problem.
In this research we focus on using ML for “mining” large ...
Mining of large-scale single-cell data with deep learning and parallel multi-instance algorithms Ghent University
Single-cell technologies have greatly advanced along the last few decades. The amount of singlecell
data being generated grows exponentially, in multiple areas and formats such as high content
imaging, flow or mass cytometry or RNA sequencing. However, most current machine learning
techniques cannot cope with that huge amount of information, the most commonly followed
approach being summarizing the data of all the ...
iCANDID: Improving Interdisciplinary and Cross-Cultural Discourse Analysis with Data Mining Tools KU Leuven
Invigorated by digitisation, information flows in society have been fundamentally altered. Not only does content travel faster than ever before, but it comes at us in evergrowing
volumes through many formats and platforms. In a digitised world, researchers may stand out if they can retrieve and analyse complete and accurate dataset. iCANDID, our proposed infrastructure, will provide innovative and integrated access to various types of ...