| 2008 |
| 11 | EE | Hana Rezanková,
Dusan Húsek,
Václav Snásel:
Clusters Number Determination and Statistical Software Packages.
DEXA Workshops 2008: 549-553 |
| 10 | EE | Dusan Húsek,
Alexander A. Frolov,
Hana Rezanková,
Václav Snásel,
Pavel Yu. Polyakov:
Some Remarks on Binary Data Grouping.
DEXA Workshops 2008: 559-565 |
| 9 | EE | Alexander A. Frolov,
Dusan Húsek,
Hana Rezanková,
Václav Snásel,
Pavel Polyakov:
Clustering variables by classical approaches and neural network Boolean factor analysis.
IJCNN 2008: 3742-3746 |
| 2007 |
| 8 | EE | Václav Snásel,
Hana Rezanková,
Dusan Húsek,
Milos Kudelka,
Ondrej Lehecka:
Semantic Analysis of Web Pages Using Cluster Analysis and Nonnegative Matrix Factorization.
AWIC 2007: 328-336 |
| 7 | EE | Pavel Moravec,
Václav Snásel,
Alexander A. Frolov,
Dusan Húsek,
Hana Rezanková,
Pavel Polyakov:
Image Analysis by Methods of Dimension Reduction.
CISIM 2007: 272-277 |
| 6 | EE | Václav Snásel,
Pavel Moravec,
Dusan Húsek,
Alexander A. Frolov,
Hana Rezanková,
Pavel Polyakov:
Pattern Discovery for High-Dimensional Binary Datasets.
ICONIP (1) 2007: 861-872 |
| 5 | EE | Václav Snásel,
Dusan Húsek,
Alexander A. Frolov,
Hana Rezanková,
Pavel Moravec,
Pavel Polyakov:
Bars Problem Solving - New Neural Network Method and Comparison.
MICAI 2007: 671-682 |
| 4 | EE | Dusan Húsek,
Pavel Moravec,
Václav Snásel,
Alexander A. Frolov,
Hana Rezanková,
Pavel Polyakov:
Comparison of Neural Network Boolean Factor Analysis Method with Some Other Dimension Reduction Methods on Bars Problem.
PReMI 2007: 235-243 |
| 2006 |
| 3 | EE | Alexander A. Frolov,
Dusan Húsek,
Pavel Polyakov,
Hana Rezanková:
New Neural Network Based Approach Helps to Discover Hidden Russian Parliament Voting Patterns.
IJCNN 2006: 3486-3491 |
| 2005 |
| 2 | EE | Dusan Húsek,
Hana Rezanková,
Václav Snásel,
Alexander A. Frolov,
Pavel Polyakov:
Neural network nonlinear factor analysis of high dimensional binary signals.
SITIS 2005: 86-89 |
| 2003 |
| 1 | | Hana Rezanková,
Dusan Húsek,
Jan Smid,
Václav Snásel:
Clustering of Documents Via Similarity Measures.
Communications in Computing 2003: 292-299 |