SLISEMAP : supervised dimensionality reduction through local explanationsA Björklund, J Mäkelä, K Puolamäki
Machine Learning, 1-43, 2022
13 2022 Sparse robust regression for explaining classifiers A Björklund, A Henelius, E Oikarinen, K Kallonen, K Puolamäki
Discovery Science: 22nd International Conference, DS 2019, Split, Croatia …, 2019
13 2019 Robust regression via error tolerance A Björklund, A Henelius, E Oikarinen, K Kallonen, K Puolamäki
Data Mining and Knowledge Discovery 36 (2), 781-810, 2022
5 2022 A Tanaka, J Tyree, A Björklund, J Mäkelä, K Puolamäki
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
1 2023 Explaining any black box model using real data A Björklund, A Henelius, E Oikarinen, K Kallonen, K Puolamäki
Frontiers in Computer Science 5, 1143904, 2023
1 2023 A novel probabilistic source apportionment approach: Bayesian auto-correlated matrix factorization A Rusanen, A Björklund, MI Manousakas, J Jiang, MT Kulmala, ...
Atmospheric Measurement Techniques 17 (4), 1251-1277, 2024
2024 Using slisemap to interpret physical data L Seppäläinen, A Björklund, V Besel, K Puolamäki
Plos one 19 (1), e0297714, 2024
2024 Sparse Robust Regression for Explaining Classifiers A Björklund
http://urn.fi/URN:NBN:fi-fe2019081624406, 2019
2019 Maskininlärning med disjunktiv normalform A Björklund
Åbo Akademi University, 2016
2016 
Kai PuolamäkiAssociate Professor, University of Helsinki, FinlandBestätigte E-Mail-Adresse bei helsinki.fi
