Significance of Patterns in Data Visualisations. - Rafael Savvides; Andreas Henelius; Emilia Oikarinen; Kai Puolamäki (KDD, 2019)

Interactive Causal Structure Discovery in Earth System Sciences. - Laila Melkas; Rafael Savvides; Suyog Chandramouli; Jarmo Mäkelä; Tuomo Nieminen; Ivan Mammarella; Kai Puolamäki (CD@KDD, 2021)

Visual Data Exploration as a Statistical Testing Procedure: Within-View and Between-View Multiple Comparisons. - Rafael Savvides; Andreas Henelius; Emilia Oikarinen; Kai Puolamäki (IEEE Trans. Vis. Comput. Graph., 2023)

Model selection with bootstrap validation. - Rafael Savvides; Jarmo Mäkelä; Kai Puolamäki (Stat. Anal. Data Min., 2023)

Error bounds for any regression model using Gaussian processes with gradient information. - Rafael Savvides; Hoang Phuc Hau Luu; Kai Puolamäki (AISTATS, 2024)

Fast and Understandable Nonlinear Supervised Dimensionality Reduction. - Anri Patron; Rafael Savvides; Lauri Franzon; Hoang Phuc Hau Luu; Kai Puolamäki (DS (1), 2024)

Statistical methods for testing visual patterns, selecting models, and bounding model errors. - Rafael Savvides (2024)