Spreading activation methods in information retrieval - A connectionist approach. - Dusan Húsek; Jaroslav Pokorný (Neurocomputing, 1992)

Once more on the information capacity of the hopefield network. - Alexander A. Frolov; Dusan Húsek (ESANN, 1993)

Informational Capacity and Recall Quality in Sparsely Encoded Hopfield-like Neural Network: Analytical Approaches and Computer Simulation. - Alexander A. Frolov; Dusan Húsek; Igor P. Muraviev (Neural Networks, 1997)

Nonlinear factorization in sparsely encoded Hopfield-like neural networks. - Anton M. Sirota; Alexander A. Frolov; Dusan Húsek (ESANN, 1999)

Nonlinear factorization in the hippocampal neural structure. - Anton M. Sirota; Alexander A. Frolov; Dusan Húsek (IJCNN, 1999)

Convergence Time in Hopfield Network. - Alexander A. Frolov; Dusan Húsek (IJCNN (5), 2000)

Application of Hopfield-like Neural Networks to Nonlinear Factorization. - Dusan Húsek; Alexander A. Frolov; Hana Rezanková; Václav Snásel (COMPSTAT, 2002)

Clustering of Documents Via Similarity Measures. - Hana Rezanková; Dusan Húsek; Jan Smid; Václav Snásel (Communications in Computing, 2003)

Binary Factorization in Hopfield-Like Neural Autoassociator: A Promising Tool for Data Compression. - Alexander A. Frolov; Anton M. Sirota; Dusan Húsek; Igor P. Muraviev; P. Combe (ICANNGA, 2003)

Using Genetic Algorithms for Boolean Queries Optimization. - Dusan Húsek; Václav Snásel; Suhail S. J. Owais; Pavel Krömer (IMSA, 2005)

Neural network nonlinear factor analysis of high dimensional binary signals. - Dusan Húsek; Hana Rezanková; Václav Snásel; Alexander A. Frolov; Pavel Polyakov (SITIS, 2005)

Implementing GP on Optimizing both Boolean and Extended Boolean Queries in IR and Fuzzy IR systems with Respect to the Users Profiles. - Suhail S. J. Owais; Pavel Krömer; Václav Snásel; Dusan Húsek; Roman Neruda (IEEE Congress on Evolutionary Computation, 2006)

Faster Learning with Overlapping Neural Assemblies. - Andrei Kursin; Dusan Húsek; Roman Neruda (ICANN (1), 2006)

New Neural Network Based Approach Helps to Discover Hidden Russian Parliament Voting Patterns. - Alexander A. Frolov; Dusan Húsek; Pavel Polyakov; Hana Rezanková (IJCNN, 2006)

Semantic Analysis of Web Pages Using Cluster Analysis and Nonnegative Matrix Factorization. - Václav Snásel; Hana Rezanková; Dusan Húsek; Milos Kudelka; Ondrej Lehecka (AWIC, 2007)

Image Analysis by Methods of Dimension Reduction. - Pavel Moravec 001; Václav Snásel; Alexander A. Frolov; Dusan Húsek; Hana Rezanková; Pavel Polyakov (CISIM, 2007)

Fusing Data and Optimizing Queries for Intelligent Search. - Václav Snásel; Pavel Krömer; Suhail S. J. Owais; Dusan Húsek; Behzad Moshiri; Amir Keyhanipour (DEXA Workshops, 2007)

Pattern Discovery for High-Dimensional Binary Datasets. - Václav Snásel; Pavel Moravec 001; Dusan Húsek; Alexander A. Frolov; Hana Rezanková; Pavel Polyakov (ICONIP (1), 2007)

Bars Problem Solving - New Neural Network Method and Comparison. - Václav Snásel; Dusan Húsek; Alexander A. Frolov; Hana Rezanková; Pavel Moravec 001; Pavel Polyakov (MICAI, 2007)

Comparison of Neural Network Boolean Factor Analysis Method with Some Other Dimension Reduction Methods on Bars Problem. - Dusan Húsek; Pavel Moravec 001; Václav Snásel; Alexander A. Frolov; Hana Rezanková; Pavel Polyakov (PReMI, 2007)

Boolean Factor Analysis by Attractor Neural Network. - Alexander A. Frolov; Dusan Húsek; Igor P. Muraviev; Pavel Yu. Polyakov (IEEE Trans. Neural Networks, 2007)

Some Remarks on Binary Data Grouping. - Dusan Húsek; Alexander A. Frolov; Hana Rezanková; Václav Snásel; Pavel Yu. Polyakov (DEXA Workshops, 2008)

Clusters Number Determination and Statistical Software Packages. - Hana Rezanková; Dusan Húsek; Václav Snásel (DEXA Workshops, 2008)

On the Implementation of Boolean Matrix Factorization. - Václav Snásel; Pavel Krömer; Jan Platos; Dusan Húsek (DEXA Workshops, 2008)

Implementing Boolean Matrix Factorization. - Roman Neruda; Václav Snásel; Jan Platos; Pavel Krömer; Dusan Húsek; Alexander A. Frolov (ICANN (1), 2008)

Clustering variables by classical approaches and neural network Boolean factor analysis. - Alexander A. Frolov; Dusan Húsek; Hana Rezanková; Václav Snásel; Pavel Polyakov (IJCNN, 2008)

Social Group Identification and Clustering. - Dusan Húsek; Hana Rezanková; Jiri Dvorský (CASoN, 2009)

Recurrent-Neural-Network-Based Boolean Factor Analysis and Its Application to Word Clustering. - Alexander A. Frolov; Dusan Húsek; Pavel Yu. Polyakov (IEEE Trans. Neural Networks, 2009)

Web Data Clustering. - Dusan Húsek; Jaroslav Pokorný; Hana Rezanková; Václav Snásel (Foundations of Computational Intelligence (4), 2009)

Origin and elimination of two global spurious attractors in Hopfield-like neural network performing Boolean factor analysis. - Alexander A. Frolov; Dusan Húsek; Igor P. Muraviev; Pavel Polyakov (Neurocomputing, 2010)

Learning and Unlearning in Hopfield-Like Neural Network Performing Boolean Factor Analysis. - Alexander A. Frolov; Dusan Húsek; Igor P. Muraviev; Pavel Yu. Polyakov (Advances in Machine Learning I, 2010)

Evaluation of Categorical Data Clustering. - Hana Rezanková; Tomas Loster; Dusan Húsek (AWIC, 2011)

Comparison of Selected Methods for Document Clustering. - Radim Sevcik; Hana Rezanková; Dusan Húsek (AWIC, 2011)

New Measure of Boolean Factor Analysis Quality. - Alexander A. Frolov; Dusan Húsek; Pavel Yu. Polyakov (ICANNGA (1), 2011)

Brain Computer Interface Enhancement by Independent Component Analysis. - Pavel Bobrov; Alexander A. Frolov; Dusan Húsek (IHCI, 2011)

Boolean Factor Analysis by Expectation-Maximization Method. - Alexander A. Frolov; Dusan Húsek; Pavel Yu. Polyakov (IHCI, 2011)

Expectation-maximization approach to Boolean factor analysis. - Alexander A. Frolov; Dusan Húsek; Pavel Yu. Polyakov (IJCNN, 2011)

Brain-Computer Interface: Common Tensor Discriminant Analysis classifier evaluation. - Alexander A. Frolov; Dusan Húsek; Pavel Bobrov (NaBIC, 2011)

Fuzzy clustering: Determining the number of clusters. - Hana Rezanková; Dusan Húsek (CASoN, 2012)

BFA and BMF: What is the difference. - Alexander A. Frolov; Ajith Abraham; Pavel Yu. Polyakov; Dusan Húsek; Hana Rezanková (ISDA, 2012)

Localizing Sources of Brain Activity Relevant to Motor Imagery Brain-Computer Interface Performance, Using Individual Head Geometry. - Alexander A. Frolov; Dusan Húsek; Pavel Bobrov; Alexey Korshakov; Lyudmila Chernikova; Rodion Konovalov; Olesya Mokienko (ISNN (1), 2012)

Attractor Neural Network Combined with Likelihood Maximization Algorithm for Boolean Factor Analysis. - Alexander A. Frolov; Dusan Húsek; Pavel Yu. Polyakov (ISNN (1), 2012)

Clustering the Sources of EEG Activity during Motor Imagery by Attractor Neural Network with Increasing Activity (ANNIA). - Pavel Bobrov; Alexander A. Frolov; Dusan Húsek; Václav Snásel (IBICA, 2014)

Two Expectation-Maximization algorithms for Boolean Factor Analysis. - Alexander A. Frolov; Dusan Húsek; Pavel Polyakov (Neurocomputing, 2014)

New BFA method based on attractor neural network and likelihood maximization. - Alexander A. Frolov; Dusan Húsek; Pavel Yu. Polyakov; Václav Snásel (Neurocomputing, 2014)

Nature-Inspired Algorithms for Selecting EEG Sources for Motor Imagery Based BCI. - Sebastián Basterrech; Pavel Bobrov; Alexander A. Frolov; Dusan Húsek (ICAISC, 2015)

Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain. - Alexander A. Frolov; Dusan Húsek; Pavel Yu. Polyakov (IEEE Trans. Neural Networks Learn. Syst., 2016)

Human-Inspired Eigenmovement Concept Provides Coupling-Free Sensorimotor Control in Humanoid Robot. - Alexei V. Alexandrov; Vittorio Lippi; Thomas Mergner; Alexander A. Frolov; Georg Hettich; Dusan Húsek (Frontiers Neurorobotics, 2017)