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2020 – today
- 2024
[j6]Angelina Senchukova, Jarkko Suuronen, Jere Heikkinen, Lassi Roininen:
Geometry Parameter Estimation for Sparse X-Ray Log Imaging. J. Math. Imaging Vis. 66(2): 154-166 (2024)- [c2]Rabia Altunay, Eero Immonen, Jarkko Suuronen, Andreas Rupp, Lassi Roininen:
Reinforcement Approach Using Topology Optimization. ECMS 2024: 330-337 - [i8]Victoria Jorry, Zina-Sabrina Duma, Tuomas Sihvonen, Satu-Pia Reinikainen, Lassi Roininen:
Statistical Batch-Based Bearing Fault Detection. CoRR abs/2407.17236 (2024) - [i7]Laura Bazahica, Vesa Kaarnioja, Lassi Roininen:
Uncertainty quantification for electrical impedance tomography using quasi-Monte Carlo methods. CoRR abs/2411.11538 (2024) - 2023
- [i6]Rabia Altunay, Kalevi Vesterinen, Pasi Alander, Eero Immonen, Andreas Rupp, Lassi Roininen:
Denture reinforcement via topology optimization. CoRR abs/2309.00396 (2023) - 2022
- [j5]Jarkko Suuronen, Neil K. Chada
, Lassi Roininen:
Cauchy Markov random field priors for Bayesian inversion. Stat. Comput. 32(2): 33 (2022) - [j4]Simo Särkkä, Lassi Roininen, Manon Kok, Roland Hostettler, Andreas Hauptmann:
Guest Editorial: MLSP 2020 Special Issue. J. Signal Process. Syst. 94(2): 131-132 (2022) - [i5]Sebastian Springer, Aldo Glielmo, Angelina Senchukova, Tomi Kauppi, Jarkko Suuronen, Lassi Roininen, Heikki Haario, Andreas Hauptmann:
Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs. CoRR abs/2206.09595 (2022) - [i4]Angelina Senchukova, Jarkko Suuronen, Jere Heikkinen, Lassi Roininen:
Geometry parameter estimation for sparse X-ray log imaging. CoRR abs/2206.14444 (2022) - [i3]Teemu Härkönen, Sara Wade, Kody J. H. Law, Lassi Roininen:
Mixtures of Gaussian Process Experts with SMC2. CoRR abs/2208.12830 (2022) - 2020
- [j3]Karla Monterrubio-Gómez, Lassi Roininen, Sara Wade, Theodoros Damoulas, Mark Girolami:
Posterior inference for sparse hierarchical non-stationary models. Comput. Stat. Data Anal. 148: 106954 (2020) - [c1]Arttu Arjas, Lassi Roininen, Mikko J. Sillanpää, Andreas Hauptmann:
Blind Hierarchical Deconvolution. MLSP 2020: 1-6 - [i2]Jarkko Suuronen, Muhammad F. Emzir, Sari Lasanen, Simo Särkkä, Lassi Roininen:
Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods. CoRR abs/2003.03814 (2020) - [i1]Arttu Arjas, Lassi Roininen, Mikko J. Sillanpää, Andreas Hauptmann:
Blind hierarchical deconvolution. CoRR abs/2007.11391 (2020)
2010 – 2019
- 2018
- [j2]Johannes Norberg, Juha P. Vierinen, Lassi Roininen, Mikko Orispää, Kirsti Kauristie, William C. Rideout, Anthea J. Coster, Markku S. Lehtinen:
Gaussian Markov Random Field Priors in Ionospheric 3-D Multi-Instrument Tomography. IEEE Trans. Geosci. Remote. Sens. 56(12): 7009-7021 (2018) - 2015
- [j1]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, Peter Gruppen, Antti Kero, Toivo Iinatti, Markku S. Lehtinen, Henri Meulman, Menno Norden, Mikko Orispää, Tero Raita, Jan Pieter de Reijer, Lassi Roininen, Arno Schoenmakers, Klaas Stuurwold, Esa Turunen:
KAIRA: The Kilpisjärvi Atmospheric Imaging Receiver Array - System Overview and First Results. IEEE Trans. Geosci. Remote. Sens. 53(3): 1440-1451 (2015)
Coauthor Index
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