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Rafael Savvides
Rafael Savvides
Geverifieerd e-mailadres voor helsinki.fi
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Significance of patterns in data visualisations
R Savvides, A Henelius, E Oikarinen, K Puolamäki
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
102019
Interactive Causal Structure Discovery in Earth System Sciences
L Melkas, R Savvides, SH Chandramouli, J Mäkelä, T Nieminen, ...
The KDD'21 Workshop on Causal Discovery, 3-25, 2021
72021
Machine-learning models to replicate large-eddy simulations of air pollutant concentrations along boulevard-type streets
M Lange, H Suominen, M Kurppa, L Järvi, E Oikarinen, R Savvides, ...
Geoscientific Model Development 14 (12), 7411-7424, 2021
62021
Finding statistically significant high accident counts in exploration of occupational accident data
T Räsänen, A Reiman, K Puolamäki, R Savvides, E Oikarinen, E Lantto
Journal of safety research 82, 28-37, 2022
32022
Visual data exploration as a statistical testing procedure: Within-view and between-view multiple comparisons
R Savvides, A Henelius, E Oikarinen, K Puolamäki
IEEE Transactions on Visualization and Computer Graphics, 2022
22022
Incorporating expert domain knowledge into causal structure discovery workflows
J Mäkelä, L Melkas, I Mammarella, T Nieminen, S Chandramouli, ...
Biogeosciences 19 (8), 2095-2099, 2022
22022
Model selection with bootstrap validation
R Savvides, J Mäkelä, K Puolamäki
Statistical Analysis and Data Mining: The ASA Data Science Journal 16 (2 …, 2023
12023
Applying machine learning to replicate large-eddy simulation results on urban pollutant dispersion
M Kurppa, MJ Lange, HJ Suominen, E Oikarinen, R Savvides, L Järvi, ...
Proceedings of The Center of Excellence in Atmospheric Science (CoE ATM …, 2019
2019
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