Alexander Grigorievskiy
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Long-term time series prediction using OP-ELM
A Grigorievskiy, Y Miche, AM Ventelä, E Séverin, A Lendasse
Neural Networks 51, 50-56, 2014
Statistical study of strong and extreme geomagnetic disturbances and solar cycle characteristics
EKJ Kilpua, N Olspert, A Grigorievskiy, MJ Käpylä, EI Tanskanen, ...
The Astrophysical Journal 806 (2), 272, 2015
Estimating activity cycles with probabilistic methods-II. The Mount Wilson Ca H&K data
N Olspert, JJ Lehtinen, MJ Käpylä, J Pelt, A Grigorievskiy
Astronomy & Astrophysics 619, A6, 2018
State space Gaussian processes with non-Gaussian likelihood
H Nickisch, A Solin, A Grigorievskiy
arXiv preprint arXiv:1802.04846, 2018
Parallelizable sparse inverse formulation Gaussian processes (SpInGP)
A Grigorievskiy, N Lawrence, S Särkkä
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
Singular Value Decomposition update and its application to (Inc)-OP-ELM
A Grigorievskiy, Y Miche, M Käpylä, A Lendasse
Neurocomputing 174, 99-108, 2016
Image-based classification of websites
A Akusok, A Grigorievskiy, A Lendasse, Y Miche, T Villmann, FM Schleif
Machine Learning Reports 2, 25-34, 2013
Gaussian process kernels for popular state-space time series models
A Grigorievskiy, J Karhunen
2016 International Joint Conference on Neural Networks (IJCNN), 3354-3363, 2016
Estimating activity cycles with probabilistic methods II
N Olspert, JJ Lehtinen, MJ Käpylä, J Pelt, A Grigorievskiy
Advances in Randomly-Weighted Neural Networks and Temporal Gaussian Processes
A Grigorievskiy
Aalto University, 2019
Missing Values Estimation: The Pyhäjärvi Case.
A Grigorievskiy
Forecasting the Outbursts of the Photometry Light Curve of Star V363 Lyr
A Grigorievskiy, MMA Akusok, E Eirola, A Lendasse
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Articles 1–12