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

Back from @2019Discovery in Split, Croatia, where Anton accepted the best paper award for doi.org/10.1007/978-3-… a… twitter.com/i/web/status/1…

Anton will present our paper in Split in 2 weeks. :) @UnivHelsinkiCS @helsinkiuni twitter.com/2019Discovery/…

Saumaton yhteistyö ihmisen ja koneen välillä vaatii uudenlaisia tekoälymenetelmiä, jotka huomioivat ihmisen ajatust… twitter.com/i/web/status/1…

Looking for summer internships positions in AI and data science? Several positions available in my group on human-i… twitter.com/i/web/status/1…