Jirí Kléma

36 papers B 4Misc 1Journal 13Unranked 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
Directed Evolution of Proteins via Bayesian Optimization in Embedding Space.
CoRR
Matous Soldát, Jirí Kléma
2025 J jnl
Utilizing RNA-seq data in monotone iterative generalized linear model to elevate prior knowledge quality of the circRNA-miRNA-mRNA regulatory axis.
BMC Bioinform.
Alikhan Anuarbekov, Jirí Kléma
2025 J jnl
circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data.
BioData Min.
Petr Rysavý, Alikhan Anuarbekov, Michaela Dostálová Merkerová, Jirí Kléma
2024 — conf
Directed Evolution of Proteins via Bayesian Optimization in Embedding Space.
BIBM
Matous Soldát, Jirí Kléma
2024 — conf
GPACDA - circRNA-Disease Association Prediction with Generating Polynomials.
IWBBIO (1)
Petr Rysavý, Jirí Kléma, Michaela Dostálová Merkerová
2024 J jnl
Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks.
CoRR
Vladimír Kunc, Jirí Kléma
2022 — conf
On functional annotation with gene co-expression networks.
BIBM
Vladimír Kunc, Jirí Kléma
2022 J jnl
circGPA: circRNA functional annotation based on probability-generating functions.
BMC Bioinform.
Petr Rysavý, Jirí Kléma, Michaela Dostálová Merkerová
2020 J jnl
Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator.
BioData Min.
Frantisek Malinka, Filip Zelezný, Jirí Kléma
2019 — conf
Evaluating Model-free Directional Dependency Methods on Single-cell RNA Sequencing Data with Severe Dropout.
ICBRA
Eliska Dvoráková, Sajal Kumar, Jirí Kléma, Filip Zelezný, Karel Drbal, Mingzhou Song
2015 J jnl
Sequential pattern mining for discovering gene interactions and their contextual information from biomedical texts.
J. Biomed. Semant.
Peggy Cellier, Thierry Charnois, Marc Plantevit, Christophe Rigotti, Bruno Crémilleux, Olivier Gandrillon, Jirí Kléma, Jean-Luc Manguin
2015 — conf
Sparse omics-network regularization to increase interpretability and performance of linear classification models.
BIBM
Michael Andel, Filip Masri, Jirí Kléma, Zdenek Krejcík, Monika Belickova
2014 — conf
Interaction-Based Aggregation of mRNA and miRNA Expression Profiles to Differentiate Myelodysplastic Syndrome.
BIOSTEC (Selected Papers)
Jirí Kléma, Jan Zahálka, Michael Andel, Zdenek Krejcík
2014 — conf
Knowledge-based Subtractive Integration of mRNA and miRNA Expression Profiles to Differentiate Myelodysplastic Syndrome.
BIOINFORMATICS
Jirí Kléma, Jan Zahálka, Michael Andel, Zdenek Krejcík
2014 — conf
Network-constrained forest for regularized omics data classification.
BIBM
Michael Andel, Jirí Kléma, Zdenek Krejcík
2014 B conf
miXGENE Tool for Learning from Heterogeneous Gene Expression Data Using Prior Knowledge.
CBMS
Matej Holec, Valentin Gologuzov, Jirí Kléma
2012 J jnl
Comparative evaluation of set-level techniques in predictive classification of gene expression samples.
BMC Bioinform.
Matej Holec, Jirí Kléma, Filip Zelezný, Jakub Tolar
2012 J jnl
Empirical Evidence of the Applicability of Functional Clustering through Gene Expression Classification.
IEEE ACM Trans. Comput. Biol. Bioinform.
Milos Krejnik, Jirí Kléma
2012 — conf
Machine learning applications in bioinformatics.
ITAT
Jirí Kléma
2011 — conf
Comparative Evaluation of Set-Level Techniques in Microarray Classification.
ISBRA
Jirí Kléma, Matej Holec, Filip Zelezný, Jakub Tolar
2011 — conf
Schizophrenia Prediction with the Adaboost Algorithm.
MIE
Jan Hrdlicka, Jirí Kléma
2009 J jnl
Combining sequence and itemset mining to discover named entities in biomedical texts: a new type of pattern.
Int. J. Data Min. Model. Manag.
Marc Plantevit, Thierry Charnois, Jirí Kléma, Christophe Rigotti, Bruno Crémilleux
2009 — conf
Integrating Multiple-Platform Expression Data through Gene Set Features.
ISBRA
Matej Holec, Filip Zelezný, Jirí Kléma, Jakub Tolar
2008 J jnl
Constraint-Based Knowledge Discovery from SAGE Data.
Silico Biol.
Jirí Kléma, Sylvain Blachon, Arnaud Soulet, Bruno Crémilleux, Olivier Gandrillon
2008 — conf
Gene expression data mining guided by genomic background knowledge.
SOFSEM (2)
Pavel Smrz, Jana Silhavá, Jirí Kléma, Filip Zelezný
2008 J jnl
Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors.
IEEE Trans. Syst. Man Cybern. Part C
Jirí Kléma, Lenka Nováková, Filip Karel, Olga Stepánková, Filip Zelezný
2006 — conf
Efficient Mining Under Rich Constraints Derived from Various Datasets.
KDID
Arnaud Soulet, Jirí Kléma, Bruno Crémilleux
2006 B conf
Mining Plausible Patterns from Genomic Data.
CBMS
Jirí Kléma, Arnaud Soulet, Bruno Crémilleux, Sylvain Blachon, Olivier Gandrillon
2005 J jnl
Optimized model tuning in medical systems.
Comput. Methods Programs Biomed.
Jirí Kléma, Jirí Kubalík, Lenka Lhotská
2004 Misc conf
Application of Soft Computing Techniques to Rescue Operation Planning.
ICAISC
Jirí Kubalík, Jirí Kléma, Miroslav Kulich
2004 — conf
Intelligent Diagnosis and Learning in Centrifugal Pumps.
BASYS
Jirí Kléma, Ondrej Flek, Jan Kout, Lenka Nováková
2002 — conf
Data Mining and Resource Allocation: A Case Study.
BASYS
Olga Stepánková, Jirí Kléma, Stepán Lauryn, Petr Miksovský, Lenka Nováková
2002 B conf
Optimized Model Tuning in Medical Systems.
CBMS
Jirí Kléma, Jirí Kubalík, Jiri Palous
2001 B conf
Evolving Groups of Basic Decision Trees.
CBMS
Matej Sprogar, Peter Kokol, Milan Zorman, Vili Podgorelec, Lenka Lhotská, Jirí Kléma
2001 — conf
Notes on Medical Decision Model Creation.
ISMDA
Matej Sprogar, Peter Kokol, Milan Zorman, Vili Podgorelec, Lenka Lhotská, Jirí Kléma
1998 — conf
Problems of learning in multi-agent systems.
BASYS
Lenka Lhotská, Jirí Kléma, Olga Stepánková