A continuation approach to mode-finding of multivariate Gaussian mixtures and kernel density estimates. - Seppo Pulkkinen; Marko M. Mäkelä; Napsu Karmitsa (J. Glob. Optim., 2013)

A generative model and a generalized trust region Newton method for noise reduction. - Seppo Pulkkinen; Marko M. Mäkelä; Napsu Karmitsa (Comput. Optim. Appl., 2014)

Ridge-based method for finding curvilinear structures from noisy data. - Seppo Pulkkinen (Comput. Stat. Data Anal., 2015)

Finding graph embeddings by incremental low-rank semidefinite programming. - Seppo Pulkkinen (Optim. Methods Softw., 2015)

Nonlinear kernel density principal component analysis with application to climate data. - Seppo Pulkkinen (Stat. Comput., 2016)

Nowcasting of Precipitation in the High-Resolution Dallas-Fort Worth (DFW) Urban Radar Remote Sensing Network. - Seppo Pulkkinen; V. Chandrasekar 001; Ari-Matti Harri (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Fully Spectral Method for Radar-Based Precipitation Nowcasting. - Seppo Pulkkinen; V. Chandrasekar 001; Ari-Matti Harri (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Nowcasting of Convective Rainfall Using Volumetric Radar Observations. - Seppo Pulkkinen; V. Chandrasekar 001; Annakaisa von Lerber; Ari-Matti Harri (IEEE Trans. Geosci. Remote. Sens., 2020)

Advection-Free Convolutional Neural Network for Convective Rainfall Nowcasting. - Jenna Ritvanen; Bent Harnist; Miguel Aldana; Terhi Mäkinen; Seppo Pulkkinen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)