- Pivot-based approximate k-NN similarity joins for big high-dimensional data2020 | Faculty of Mathematics and Physics
- Permutation Based Indexing for High Dimensional Data on GPU Architectures2015 | Faculty of Mathematics and Physics
- Analysing Indexability of Intrinsically High-Dimensional Data Using TriGen2020 | Faculty of Mathematics and Physics
- Implicitly weighted multivariate methods for high-dimensional data2010 | Faculty of Mathematics and Physics
- Comparing MapReduce-Based k-NN Similarity Joins On Hadoop For High-dimensional Data2017 | Faculty of Mathematics and Physics
- Locating landmarks using templates2010 | Faculty of Mathematics and Physics
- Interactive Dendrograms: The R Packages idendro and idendr02017 | First Faculty of Medicine, Second Faculty of Medicine
- SOM-based embedding improves efficiency of high-dimensional cytometry data analysis2019 | Faculty of Mathematics and Physics, Faculty of Science
- Shrinkage Approach for Gene Expression Data Analysis2013 | Faculty of Physical Education and Sport
- Organizing Large Image Documents with Self-Organizing Feature Maps2002 | Publication without faculty affiliation
- Kernel PCA in Alzheimer's disease diagnostic2013 | Third Faculty of Medicine
- Selecting relevant information for medical decision support with application in cardiology2013 | Faculty of Mathematics and Physics, Faculty of Physical Education and Sport, First Faculty of Medicine
- Incomplete interdirections and lift-interdirections2020 | Faculty of Mathematics and Physics
- Image Classification with Growing Neural Networks2013 | Faculty of Mathematics and Physics
- Rating-Aware Self-Organizing Maps2022 | Faculty of Mathematics and Physics
- Ensemble Kalman Filter2011 | Faculty of Mathematics and Physics
- Improving Performance and Accuracy of Local PCA2011 | Faculty of Mathematics and Physics
- CENTRAL workshop: Modelling Dependencies in Ultra-High DimensionsPublication without faculty affiliation
- Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data2017 | Faculty of Mathematics and Physics
- GigaSOM.jl: High-performance clustering and visualization of huge cytometry datasets2020 | Faculty of Mathematics and Physics, Central Library of Charles University