Rafael Savvides

Finding statistically significant high accident counts in exploration of occupational accident data

K. Puolamäki, Emilia Oikarinen, A. Reiman, 2022, Journal of Safety Research.

Interactive Causal Structure Discovery in Earth System Sciences pdf

Kai Puolamäki, Rafael Savvides, Ivan Mammarella, 2021, CD@KDD.

Technical note: Incorporating expert domain knowledge into causal structure discovery workflows

I. Mammarella, K. Puolamäki, T. Nieminen, 2022, Biogeosciences.

Significance of Patterns in Data Visualisations

Kai Puolamäki, Emilia Oikarinen, Andreas Henelius, 2019, KDD.

Model selection with bootstrap validation

K. Puolamäki, Jarmo Mäkelä, Rafael Savvides, 2023, Stat. Anal. Data Min..

Machine learning models to replicate large-eddy simulations of air pollutant concentrations along boulevard-type streets

Kai Puolamäki, Emilia Oikarinen, Rafael Savvides, 2020 .