The Explorative Data Analysis group at the Department of Computer Science of the University of Helsinki is lead by Prof. Kai Puolamäki. We study and develop algorithmic and probabilistic methods of artificial intelligence that help humans understand large heterogenous data sources and make analytic data-based decisions. Our methodological focus is on randomization methods and constrained randomization.

News

@KaiPuo

#DAMI's newest online first article is concerned with "Detecting virtual concept drift of regressors without ground… twitter.com/i/web/status/1…

Call for postdocs, research fellows and PhD students open! Interested in joining world-class research groups in the… twitter.com/i/web/status/1…

Offering 3-month summer internships in my group at @UnivHelsinkiCS @INAR_fin for BSc/MSc students from Finnish univ… twitter.com/i/web/status/1…

My students Anton Björklund and Rafael Savvides were both awarded competitive university funded 4-year doctoral stu… twitter.com/i/web/status/1…