Jan Kalina

Orcid: 0000-0002-8491-0364

According to our database1, Jan Kalina authored at least 28 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Properties of the Weighted and Robust Implicitly Weighted Correlation Coefficients.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

On the Bayesian Interpretation of Penalized Statistical Estimators.
Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022
The minimum weighted covariance determinant estimator revisited.
Commun. Stat. Simul. Comput., 2022

The minimum weighted covariance determinant estimator for high-dimensional data.
Adv. Data Anal. Classif., 2022

Sparse Versions of Optimized Centroids.
Proceedings of the International Joint Conference on Neural Networks, 2022

On Combining Robustness and Regularization in Training Multilayer Perceptrons over Small Data.
Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-objective Bayesian Optimization for Neural Architecture Search.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021
Effective Automatic Method Selection for Nonlinear Regression Modeling.
Int. J. Neural Syst., 2021

Common multivariate estimators of location and scatter capture the symmetry of the underlying distribution.
Commun. Stat. Simul. Comput., 2021

A Comparison of Regularization Techniques for Shallow Neural NetworksTrained on Small Datasets.
Proceedings of the 21st Conference Information Technologies, 2021

A Comparison of Trend Estimators Under Heteroscedasticity.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

Robustness of Supervised Learning Based on Combined Centroids.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020
Robust Multilayer Perceptrons: Robust Loss Functions and Their Derivatives.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

A Metalearning Study for Robust Nonlinear Regression.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019
Robust Training of Radial Basis Function Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018
Likelihood Ratio Testing under Measurement Errors.
Entropy, 2018

2017
Nonparametric Bootstrap Estimation for Implicitly Weighted Robust Regression.
Proceedings of the 17th Conference on Information Technologies, 2017

2016
Perspectives of Information-based Methods in Medicine: An Outlook for Mental Health Care.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

Implicitly Weighted Robust Classification Applied to Brain Activity Research.
Proceedings of the Biomedical Engineering Systems and Technologies, 2016

Highly Robust Classification: A Regularized Approach for Omics Data.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015
Algorithms for Regularized Linear Discriminant Analysis.
Proceedings of the BIOINFORMATICS 2015, 2015

Robust Image Analysis of BeadChip Microarrays.
Proceedings of the BIOIMAGING 2015, 2015

2014
Decision Support for Mental Health: Towards the Information-based Psychiatry.
Int. J. Comput. Model. Algorithms Medicine, 2014

2013
System for Selecting Relevant Information for Decision Support.
Proceedings of the Data and Knowledge for Medical Decision Support, 2013

2012
Implicitly Weighted Methods in Robust Image Analysis.
J. Math. Imaging Vis., 2012

2011
Robust Methods for Image Processing in Anthropology and Biomedicine.
ERCIM News, 2011

2010
Robust Image Analysis in the Evaluation of Gene Expression Studies.
ERCIM News, 2010

2006
Locating landmarks using templates.
PhD thesis, 2006


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