| Long-term time series prediction using OP-ELM A Grigorievskiy, Y Miche, AM Ventelä, E Séverin, A Lendasse Neural Networks 51, 50-56, 2014 | 108 | 2014 |
| 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 | 57 | 2018 |
| 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 | 53 | 2015 |
| State space Gaussian processes with non-Gaussian likelihood H Nickisch, A Solin, A Grigorevskiy International Conference on Machine Learning, 3789-3798, 2018 | 35 | 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 | 28 | 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 | 13 | 2016 |
| Image-based classification of websites A Akusok, A Grigorievskiy, A Lendasse, Y Miche, T Villmann, F Schleif Machine Learning Reports 2, 25-34, 2013 | 13 | 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 | 11 | 2016 |
| Estimating activity cycles with probabilistic methods II N Olspert, JJ Lehtinen, MJ Käpylä, J Pelt, A Grigorievskiy | 1 | 2018 |
| Advances in Randomly-Weighted Neural Networks and Temporal Gaussian Processes A Grigorievskiy Aalto University, 2019 | | 2019 |
| Forecasting the Outbursts of the Photometry Light Curve of Star V363 Lyr A Grigorievskiy, MMA Akusok, E Eirola, A Lendasse International Work Conference on Time Series Analysis 2014, Granada, 520-531, 2014 | | 2014 |
| Missing Values Estimation: The Pyhäjärvi Case. A Grigorievskiy | | 2013 |
| Practical Estimation of Missing Phosphorus Values in Pyhäjärvi Lake Data A Grigorievskiy, A Akusok, M Tarvainen, AM Ventelä, A Lendasse Workshop-New Challenges in Neural Computation 2013, 03.09. 2013, Saarbrücken …, 2013 | | 2013 |
| Missing Values Estimation: The Pyhäjärvi Case. In application to long-term time series prediction A Grigorievskiy | | 2013 |
