EM-algorithm for training of state-space models with application to time series prediction. - Elia Liitiäinen; Nima Reyhani; Amaury Lendasse (ESANN, 2006)

Long-Term Prediction of Time Series Using State-Space Models. - Elia Liitiäinen; Amaury Lendasse (ICANN (2), 2006)

Nearest Neighbor Distributions and Noise Variance Estimation. - Elia Liitiäinen; Francesco Corona; Amaury Lendasse (ESANN, 2007)

Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions. - Amaury Lendasse; Elia Liitiäinen (IJCNN, 2007)

Non-parametric Residual Variance Estimation in Supervised Learning. - Elia Liitiäinen; Amaury Lendasse; Francesco Corona (IWANN, 2007)

Using the Delta Test for Variable Selection. - Emil Eirola; Elia Liitiäinen; Amaury Lendasse; Francesco Corona; Michel Verleysen (ESANN, 2008)

On Nonparametric Residual Variance Estimation. - Elia Liitiäinen; Francesco Corona; Amaury Lendasse (Neural Process. Lett., 2008)

A SOM-based approach to estimating product properties from spectroscopic measurements. - Francesco Corona; Elia Liitiäinen; Amaury Lendasse; Lorenzo Sassu; Stefano Melis; Roberto Baratti (Neurocomputing, 2009)

Residual variance estimation in machine learning. - Elia Liitiäinen; Michel Verleysen; Francesco Corona; Amaury Lendasse (Neurocomputing, 2009)

Residual variance estimation using a nearest neighbor statistic. - Elia Liitiäinen; Francesco Corona; Amaury Lendasse (J. Multivar. Anal., 2010)

A boundary corrected expansion of the moments of nearest neighbor distributions. - Elia Liitiäinen; Amaury Lendasse; Francesco Corona (Random Struct. Algorithms, 2010)

On the Curse of Dimensionality in Supervised Learning of Smooth Regression Functions. - Elia Liitiäinen; Francesco Corona; Amaury Lendasse (Neural Process. Lett., 2011)

Implications of Higher Education on Earnings: An Empirical Analysis of Skills and Competence. - Belle Selene Xia; Elia Liitiäinen (Int. J. Adult Vocat. Educ. Technol., 2016)