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2020 – today
- 2023
[j9]Jenna Ritvanen
, Bent Harnist, Miguel Aldana, Terhi Mäkinen, Seppo Pulkkinen:
Advection-Free Convolutional Neural Network for Convective Rainfall Nowcasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1654-1667 (2023)- 2020
- [j8]Seppo Pulkkinen, V. Chandrasekar, Annakaisa von Lerber, Ari-Matti Harri:
Nowcasting of Convective Rainfall Using Volumetric Radar Observations. IEEE Trans. Geosci. Remote. Sens. 58(11): 7845-7859 (2020)
2010 – 2019
- 2019
- [j7]Seppo Pulkkinen, V. Chandrasekar, Ari-Matti Harri:
Fully Spectral Method for Radar-Based Precipitation Nowcasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(5): 1369-1382 (2019) - 2018
- [j6]Seppo Pulkkinen, V. Chandrasekar, Ari-Matti Harri:
Nowcasting of Precipitation in the High-Resolution Dallas-Fort Worth (DFW) Urban Radar Remote Sensing Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(8): 2773-2787 (2018) - 2016
- [j5]Seppo Pulkkinen:
Nonlinear kernel density principal component analysis with application to climate data. Stat. Comput. 26(1-2): 471-492 (2016) - 2015
- [j4]Seppo Pulkkinen:
Ridge-based method for finding curvilinear structures from noisy data. Comput. Stat. Data Anal. 82: 89-109 (2015) - [j3]Seppo Pulkkinen:
Finding graph embeddings by incremental low-rank semidefinite programming. Optim. Methods Softw. 30(5): 1050-1076 (2015) - 2014
- [j2]Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa:
A generative model and a generalized trust region Newton method for noise reduction. Comput. Optim. Appl. 57(1): 129-165 (2014) - 2013
- [j1]Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa:
A continuation approach to mode-finding of multivariate Gaussian mixtures and kernel density estimates. J. Glob. Optim. 56(2): 459-487 (2013)
Coauthor Index
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