Locating landmarks using templates. - Jan Kalina (2006)

Robust Image Analysis in the Evaluation of Gene Expression Studies. - Jan Kalina (ERCIM News, 2010)

Robust Methods for Image Processing in Anthropology and Biomedicine. - Jan Kalina (ERCIM News, 2011)

Implicitly Weighted Methods in Robust Image Analysis. - Jan Kalina (J. Math. Imaging Vis., 2012)

System for Selecting Relevant Information for Decision Support. - Jan Kalina; Libor Seidl; Karel Zvára; Hana Grünfeldová; Dalibor Slovák; Jana Zvárová (EFMI-STC, 2013)

Decision Support for Mental Health: Towards the Information-based Psychiatry. - Jan Kalina; Jana Zvárová (Int. J. Comput. Model. Algorithms Medicine, 2014)

Robust Image Analysis of BeadChip Microarrays. - Jan Kalina; Anna Schlenker (BIOIMAGING, 2015)

Algorithms for Regularized Linear Discriminant Analysis. - Jan Kalina; Jurjen Duintjer Tebbens (BIOINFORMATICS, 2015)

Highly Robust Classification: A Regularized Approach for Omics Data. - Jan Kalina; Jaroslav Hlinka (BIOINFORMATICS, 2016)

Implicitly Weighted Robust Classification Applied to Brain Activity Research. - Jan Kalina; Jaroslav Hlinka (BIOSTEC (Selected Papers), 2016)

Perspectives of Information-based Methods in Medicine: An Outlook for Mental Health Care. - Jan Kalina; Jana Zvárová (HEALTHINF, 2016)

Nonparametric Bootstrap Estimation for Implicitly Weighted Robust Regression. - Jan Kalina; Barbora Pestová (ITAT, 2017)

Likelihood Ratio Testing under Measurement Errors. - Michel Broniatowski; Jana Jurecková; Jan Kalina (Entropy, 2018)

Robust Training of Radial Basis Function Neural Networks. - Jan Kalina; Petra Vidnerová (ICAISC (1), 2019)

A Metalearning Study for Robust Nonlinear Regression. - Jan Kalina; Petra Vidnerová (EANN, 2020)

Robust Multilayer Perceptrons: Robust Loss Functions and Their Derivatives. - Jan Kalina; Petra Vidnerová (EANN, 2020)

Robustness of Supervised Learning Based on Combined Centroids. - Jan Kalina; Ctirad Matonoha (ICAISC (2), 2021)

A Comparison of Trend Estimators Under Heteroscedasticity. - Jan Kalina; Petra Vidnerová; Jan Tichavský (ICAISC (1), 2021)

A Comparison of Regularization Techniques for Shallow Neural NetworksTrained on Small Datasets. - Jirí Tumpach; Jan Kalina; Martin Holena (ITAT, 2021)

Common multivariate estimators of location and scatter capture the symmetry of the underlying distribution. - Jan Kalina (Commun. Stat. Simul. Comput., 2021)

Effective Automatic Method Selection for Nonlinear Regression Modeling. - Jan Kalina; Ales Neoral; Petra Vidnerová (Int. J. Neural Syst., 2021)

Multi-objective Bayesian Optimization for Neural Architecture Search. - Petra Vidnerová; Jan Kalina (ICAISC (1), 2022)

On Combining Robustness and Regularization in Training Multilayer Perceptrons over Small Data. - Jan Kalina; Jirí Tumpach; Martin Holena (IJCNN, 2022)

Sparse Versions of Optimized Centroids. - Jan Kalina; Petra Vidnerová; Patrik Janácek (IJCNN, 2022)

The minimum weighted covariance determinant estimator for high-dimensional data. - Jan Kalina; Jan Tichavský (Adv. Data Anal. Classif., 2022)

The minimum weighted covariance determinant estimator revisited. - Jan Kalina (Commun. Stat. Simul. Comput., 2022)

On the Bayesian Interpretation of Penalized Statistical Estimators. - Jan Kalina; Barbora Pestová (ICAISC (2), 2023)

Properties of the Weighted and Robust Implicitly Weighted Correlation Coefficients. - Jan Kalina; Petra Vidnerová (ICANN (9), 2023)

On the Bayesian Interpretation of Robust Regression Neural Networks. - Jan Kalina; Petra Vidneroá (ICANN (1), 2024)

Highly robust training of regularized radial basis function networks. - Jan Kalina; Petra Vidnerová; Patrik Janácek (Kybernetika, 2024)

Regularized least weighted squares estimator in linear regression. - Jan Kalina (Commun. Stat. Simul. Comput., 2025)