KAIRA: The Kilpisjärvi Atmospheric Imaging Receiver Array - System Overview and First Results. - Derek McKay-Bukowski; Juha P. Vierinen; Ilkka I. Virtanen; Richard Fallows; Markku Postila; Thomas Ulich; Olaf Wucknitz; Michiel Brentjens; Nico Ebbendorf; Carl-Fredrik Enell; Marchel Gerbers; Teun Grit; et al. (IEEE Trans. Geosci. Remote. Sens., 2015)

Gaussian Markov Random Field Priors in Ionospheric 3-D Multi-Instrument Tomography. - Johannes Norberg; Juha P. Vierinen; Lassi Roininen; Mikko Orispää; Kirsti Kauristie; William C. Rideout; Anthea J. Coster; Markku S. Lehtinen (IEEE Trans. Geosci. Remote. Sens., 2018)

Blind Hierarchical Deconvolution. - Arttu Arjas; Lassi Roininen; Mikko J. Sillanpää; Andreas Hauptmann (MLSP, 2020)

Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods. - Jarkko Suuronen; Muhammad F. Emzir; Sari Lasanen; Simo Särkkä; Lassi Roininen (CoRR, 2020)

Posterior inference for sparse hierarchical non-stationary models. - Karla Monterrubio-Gómez; Lassi Roininen; Sara Wade; Theodoros Damoulas; Mark Girolami (Comput. Stat. Data Anal., 2020)

Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs. - Sebastian Springer; Aldo Glielmo; Angelina Senchukova; Tomi Kauppi; Jarkko Suuronen; Lassi Roininen; Heikki Haario; Andreas Hauptmann (CoRR, 2022)

Mixtures of Gaussian Process Experts with SMC2. - Teemu Härkönen; Sara Wade; Kody J. H. Law; Lassi Roininen (CoRR, 2022)

Cauchy Markov random field priors for Bayesian inversion. - Jarkko Suuronen; Neil K. Chada; Lassi Roininen (Stat. Comput., 2022)

Guest Editorial: MLSP 2020 Special Issue. - Simo Särkkä; Lassi Roininen; Manon Kok; Roland Hostettler; Andreas Hauptmann (J. Signal Process. Syst., 2022)

Denture reinforcement via topology optimization. - Rabia Altunay; Kalevi Vesterinen; Pasi Alander; Eero Immonen; Andreas Rupp; Lassi Roininen (CoRR, 2023)

Reinforcement Approach Using Topology Optimization. - Rabia Altunay; Eero Immonen; Jarkko Suuronen; Andreas Rupp; Lassi Roininen (ECMS, 2024)

Statistical Batch-Based Bearing Fault Detection. - Victoria Jorry; Zina-Sabrina Duma; Tuomas Sihvonen; Satu-Pia Reinikainen; Lassi Roininen (CoRR, 2024)

Uncertainty quantification for electrical impedance tomography using quasi-Monte Carlo methods. - Laura Bazahica; Vesa Kaarnioja; Lassi Roininen (CoRR, 2024)

Geometry Parameter Estimation for Sparse X-Ray Log Imaging. - Angelina Senchukova; Jarkko Suuronen; Jere Heikkinen; Lassi Roininen (J. Math. Imaging Vis., 2024)

Parameter-Based Transfer Learning for Bearing Fault Diagnosis Using Small Samples Under Variable Working Conditions. - Presley Aduwenye; Charles Nutakor; Lassi Roininen; Jussi T. Sopanen (IEEE Access, 2025)

Bayesian LSTM for indoor temperature modeling. - Emma Hannula; Arttu Häkkinen; Antti Solonen; Felibe Uribe; Jana de Wiljes; Lassi Roininen (CoRR, 2025)

Optimising Kernel-based Multivariate Statistical Process Control. - Zina-Sabrina Duma; Victoria Jorry; Tuomas Sihvonen; Satu-Pia Reinikainen; Lassi Roininen (CoRR, 2025)

Computational design of personalized drugs via robust optimization under uncertainty. - Rabia Altunay; Jarkko Suuronen; Eero Immonen; Lassi Roininen; Jari Hämäläinen (CoRR, 2025)