SLISEMAP: supervised dimensionality reduction through local explanations A Björklund, J Mäkelä, K Puolamäki Machine Learning, 1-43, 2022 | 22 | 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 | 14 | 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 | 7 | 2022 |
SLISEMAP: combining supervised dimensionality reduction with local explanations A Björklund, J Mäkelä, K Puolamäki Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 6 | 2022 |
Using slisemap to interpret physical data L Seppäläinen, A Björklund, V Besel, K Puolamäki Plos one 19 (1), e0297714, 2024 | 3 | 2024 |
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 | 3 | 2023 |
SLIPMAP: Fast and Robust Manifold Visualisation for Explainable AI A Björklund, L Seppäläinen, K Puolamäki International Symposium on Intelligent Data Analysis, 223-235, 2024 | 2 | 2024 |
iplot: Web-First Visualisation Platform for Multidimensional Data A Tanaka, J Tyree, A Björklund, J Mäkelä, K Puolamäki Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 2 | 2023 |
A novel probabilistic source apportionment approach: Bayesian auto-correlated matrix factorization A Rusanen, A Björklund, M Manousakas, J Jiang, MT Kulmala, ... Atmospheric Measurement Techniques Discussions 2023, 1-28, 2023 | 2 | 2023 |
Interpretable and explainable machine learning for natural sciences A Björklund University of Helsinki, 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 |