Sparse Robust Regression for Explaining Classifiers. - Anton Björklund; Andreas Henelius; Emilia Oikarinen; Kimmo Kallonen; Kai Puolamäki (DS, 2019)

SLISEMAP: Combining Supervised Dimensionality Reduction with Local Explanations. - Anton Björklund; Jarmo Mäkelä; Kai Puolamäki (ECML/PKDD (6), 2022)

SLISEMAP: Explainable Dimensionality Reduction. - Anton Björklund; Jarmo Mäkelä; Kai Puolamäki (CoRR, 2022)

Robust regression via error tolerance. - Anton Björklund; Andreas Henelius; Emilia Oikarinen; Kimmo Kallonen; Kai Puolamäki (Data Min. Knowl. Discov., 2022)

χiplot: Web-First Visualisation Platform for Multidimensional Data. - Akihiro Tanaka; Juniper Tyree; Anton Björklund; Jarmo Mäkelä; Kai Puolamäki (ECML/PKDD (7), 2023)

Using Slisemap to interpret physical data. - Lauri Seppäläinen; Anton Björklund; Vitus Besel; Kai Puolamäki (CoRR, 2023)

Explaining any black box model using real data. - Anton Björklund; Andreas Henelius; Emilia Oikarinen; Kimmo Kallonen; Kai Puolamäki (Frontiers Comput. Sci., 2023)

SLISEMAP: supervised dimensionality reduction through local explanations. - Anton Björklund; Jarmo Mäkelä; Kai Puolamäki (Mach. Learn., 2023)

SLIPMAP: Fast and Robust Manifold Visualisation for Explainable AI. - Anton Björklund; Lauri Seppäläinen; Kai Puolamäki (IDA (2), 2024)

Efficient Preimage Approximation for Neural Network Certification. - Anton Björklund; Mykola Zaitsev; Marta Kwiatkowska (CoRR, 2025)