Jirí Kléma

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 8

Top Topics

Gene Expression

Gene Regulatory Networks

Expression Profiles

Top Venues

Publications

Vladimír Kunc, Jirí Kléma
Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks. CoRR (2024)
Petr Rysavý, Jirí Kléma, Michaela Dostálová Merkerová
GPACDA - circRNA-Disease Association Prediction with Generating Polynomials. IWBBIO (1) (2024)
Petr Rysavý, Jirí Kléma, Michaela Dostálová Merkerová
circGPA: circRNA functional annotation based on probability-generating functions. BMC Bioinform. 23 (1) (2022)
Vladimír Kunc, Jirí Kléma
On functional annotation with gene co-expression networks. BIBM (2022)
Frantisek Malinka, Filip Zelezný, Jirí Kléma
Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator. BioData Min. 13 (1) (2020)
Eliska Dvoráková, Sajal Kumar, Jirí Kléma, Filip Zelezný, Karel Drbal, Mingzhou Song
Evaluating Model-free Directional Dependency Methods on Single-cell RNA Sequencing Data with Severe Dropout. ICBRA (2019)
Peggy Cellier, Thierry Charnois, Marc Plantevit, Christophe Rigotti, Bruno Crémilleux, Olivier Gandrillon, Jirí Kléma, Jean-Luc Manguin
Sequential pattern mining for discovering gene interactions and their contextual information from biomedical texts. J. Biomed. Semant. 6 (2015)
Michael Andel, Filip Masri, Jirí Kléma, Zdenek Krejcík, Monika Belickova
Sparse omics-network regularization to increase interpretability and performance of linear classification models. BIBM (2015)
Jirí Kléma, Jan Zahálka, Michael Andel, Zdenek Krejcík
Knowledge-based Subtractive Integration of mRNA and miRNA Expression Profiles to Differentiate Myelodysplastic Syndrome. BIOINFORMATICS (2014)
Jirí Kléma, Jan Zahálka, Michael Andel, Zdenek Krejcík
Interaction-Based Aggregation of mRNA and miRNA Expression Profiles to Differentiate Myelodysplastic Syndrome. BIOSTEC (Selected Papers) (2014)
Michael Andel, Jirí Kléma, Zdenek Krejcík
Network-constrained forest for regularized omics data classification. BIBM (2014)
Matej Holec, Valentin Gologuzov, Jirí Kléma
miXGENE Tool for Learning from Heterogeneous Gene Expression Data Using Prior Knowledge. CBMS (2014)
Milos Krejnik, Jirí Kléma
Empirical Evidence of the Applicability of Functional Clustering through Gene Expression Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (3) (2012)
Jirí Kléma
Machine learning applications in bioinformatics. ITAT (2012)
Matej Holec, Jirí Kléma, Filip Zelezný, Jakub Tolar
Comparative evaluation of set-level techniques in predictive classification of gene expression samples. BMC Bioinform. 13 (S-10) (2012)
Jirí Kléma, Matej Holec, Filip Zelezný, Jakub Tolar
Comparative Evaluation of Set-Level Techniques in Microarray Classification. ISBRA (2011)
Jan Hrdlicka, Jirí Kléma
Schizophrenia Prediction with the Adaboost Algorithm. MIE (2011)
Marc Plantevit, Thierry Charnois, Jirí Kléma, Christophe Rigotti, Bruno Crémilleux
Combining sequence and itemset mining to discover named entities in biomedical texts: a new type of pattern. Int. J. Data Min. Model. Manag. 1 (2) (2009)
Matej Holec, Filip Zelezný, Jirí Kléma, Jakub Tolar
Integrating Multiple-Platform Expression Data through Gene Set Features. ISBRA (2009)
Pavel Smrz, Jana Silhavá, Jirí Kléma, Filip Zelezný
Gene expression data mining guided by genomic background knowledge. SOFSEM (2) (2008)
Jirí Kléma, Lenka Nováková, Filip Karel, Olga Stepánková, Filip Zelezný
Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors. IEEE Trans. Syst. Man Cybern. Part C 38 (1) (2008)
Jirí Kléma, Sylvain Blachon, Arnaud Soulet, Bruno Crémilleux, Olivier Gandrillon
Constraint-Based Knowledge Discovery from SAGE Data. Silico Biol. 8 (2) (2008)
Jirí Kléma, Arnaud Soulet, Bruno Crémilleux, Sylvain Blachon, Olivier Gandrillon
Mining Plausible Patterns from Genomic Data. CBMS (2006)
Arnaud Soulet, Jirí Kléma, Bruno Crémilleux
Efficient Mining Under Rich Constraints Derived from Various Datasets. KDID (2006)
Jirí Kléma, Jirí Kubalík, Lenka Lhotská
Optimized model tuning in medical systems. Comput. Methods Programs Biomed. 80 (Supplement-1) (2005)
Jirí Kubalík, Jirí Kléma, Miroslav Kulich
Application of Soft Computing Techniques to Rescue Operation Planning. ICAISC (2004)
Jirí Kléma, Ondrej Flek, Jan Kout, Lenka Nováková
Intelligent Diagnosis and Learning in Centrifugal Pumps. BASYS (2004)
Jirí Kléma, Jirí Kubalík, Jiri Palous
Optimized Model Tuning in Medical Systems. CBMS (2002)
Olga Stepánková, Jirí Kléma, Stepán Lauryn, Petr Miksovský, Lenka Nováková
Data Mining and Resource Allocation: A Case Study. BASYS (2002)
Matej Sprogar, Peter Kokol, Milan Zorman, Vili Podgorelec, Lenka Lhotská, Jirí Kléma
Evolving Groups of Basic Decision Trees. CBMS (2001)
Matej Sprogar, Peter Kokol, Milan Zorman, Vili Podgorelec, Lenka Lhotská, Jirí Kléma
Notes on Medical Decision Model Creation. ISMDA (2001)
Lenka Lhotská, Jirí Kléma, Olga Stepánková
Problems of learning in multi-agent systems. BASYS (1998)