Using SOM-Based Data Binning to Support Supervised Variable Selection. - Sampsa Laine; Timo Similä (ICONIP, 2004)

Multiresponse Sparse Regression with Application to Multidimensional Scaling. - Timo Similä; Jarkko Tikka (ICANN (2), 2005)

Visual approach to supervised variable selection by self-organizing map. - Timo Similä; Sampsa Laine (Int. J. Neural Syst., 2005)

Self-organizing map learning nonlinearly embedded manifolds. - Timo Similä (Inf. Vis., 2005)

Process State and Progress Visualization Using Self-Organizing Map. - Risto M. Hakala; Timo Similä; Miki Sirola; Jukka Parviainen (IDEAL, 2006)

Common Subset Selection of Inputs in Multiresponse Regression. - Timo Similä; Jarkko Tikka (IJCNN, 2006)

Self-organizing map visualizing conditional quantile functions with multidimensional covariates. - Timo Similä (Comput. Stat. Data Anal., 2006)

Majorize-Minimize Algorithm for Multiresponse Sparse Regression. - Timo Similä (ICASSP (2), 2007)

Input selection and shrinkage in multiresponse linear regression. - Timo Similä; Jarkko Tikka (Comput. Stat. Data Anal., 2007)

Combined input variable selection and model complexity control for nonlinear regression. - Timo Similä; Jarkko Tikka (Pattern Recognit. Lett., 2009)

Supervised Distance Preserving Projections. - Zhanxing Zhu; Timo Similä; Francesco Corona (Neural Process. Lett., 2013)