Jirí Kléma - researchr alias

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Viewing Publication 1 - 30 from 30

2022

On functional annotation with gene co-expression networksVladimír Kunc, Jirí Kléma. bibm 2022: 3055-3062 [doi]

circGPA: circRNA functional annotation based on probability-generating functionsPetr Rysavý, Jirí Kléma, Michaela Dostálová Merkerová. bmcbi, 23(1):392, 2022. [doi]

2020

Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operatorFrantisek Malinka, Filip Zelezný, Jirí Kléma. biodatamining, 13(1):13, 2020. [doi]

2019

Evaluating Model-free Directional Dependency Methods on Single-cell RNA Sequencing Data with Severe DropoutEliska Dvoráková, Sajal Kumar, Jirí Kléma, Filip Zelezný, Karel Drbal, Mingzhou Song 0001. icbra 2019: 55-62 [doi]

2015

Sparse omics-network regularization to increase interpretability and performance of linear classification modelsMichael Andel, Filip Masri, Jirí Kléma, Zdenek Krejcík, Monika Belickova. bibm 2015: 615-620 [doi]

Sequential pattern mining for discovering gene interactions and their contextual information from biomedical textsPeggy Cellier, Thierry Charnois, Marc Plantevit, Christophe Rigotti, Bruno Crémilleux, Olivier Gandrillon, Jirí Kléma, Jean-Luc Manguin. biomedsem, 6:27, 2015. [doi]

2014

2012

Comparative evaluation of set-level techniques in predictive classification of gene expression samplesMatej Holec, Jirí Kléma, Filip Zelezný, Jakub Tolar. bmcbi, 13(S-10), 2012. [doi]

Machine learning applications in bioinformaticsJirí Kléma. dimacs 2012: 1-2 [doi]

Empirical Evidence of the Applicability of Functional Clustering through Gene Expression ClassificationMilos Krejnik, Jirí Kléma. tcbb, 9(3):788-798, 2012. [doi]

2011

Schizophrenia Prediction with the Adaboost AlgorithmJan Hrdlicka, Jirí Kléma. mie 2011: 574-578 [doi]

Comparative Evaluation of Set-Level Techniques in Microarray ClassificationJirí Kléma, Matej Holec, Filip Zelezný, Jakub Tolar. isbra 2011: 274-285 [doi]

2009

Integrating Multiple-Platform Expression Data through Gene Set FeaturesMatej Holec, Filip Zelezný, Jirí Kléma, Jakub Tolar. isbra 2009: 5-17 [doi]

Combining sequence and itemset mining to discover named entities in biomedical texts: a new type of patternMarc Plantevit, Thierry Charnois, Jirí Kléma, Christophe Rigotti, Bruno Crémilleux. ijdmmm, 1(2):119-148, 2009. [doi]

2008

2006

Mining Plausible Patterns from Genomic DataJirí Kléma, Arnaud Soulet, Bruno Crémilleux, Sylvain Blachon, Olivier Gandrillon. cbms 2006: 183-190 [doi]

Efficient Mining Under Rich Constraints Derived from Various DatasetsArnaud Soulet, Jirí Kléma, Bruno Crémilleux. kdid 2007: 223-239 [doi]

2005

Optimized model tuning in medical systemsJirí Kléma, Jirí Kubalík, Lenka Lhotská. cmpb, 80(Supplement-1), 2005. [doi]

2004

Intelligent Diagnosis and Learning in Centrifugal PumpsJirí Kléma, Ondrej Flek, Jan Kout, Lenka Nováková. ifip5-3 2005: 513-522 [doi]

Application of Soft Computing Techniques to Rescue Operation PlanningJirí Kubalík, Jirí Kléma, Miroslav Kulich. icaisc 2004: 897-902 [doi]

2002

Optimized Model Tuning in Medical SystemsJirí Kléma, Jirí Kubalík, Jiri Palous. cbms 2002: 59-64 [doi]

Data Mining and Resource Allocation: A Case StudyOlga Stepánková, Jirí Kléma, Stepán Lauryn, Petr Miksovský, Lenka Nováková. ifip5-3 2002: 477-484

2001

Evolving Groups of Basic Decision TreesMatej Sprogar, Peter Kokol, Milan Zorman, Vili Podgorelec, Lenka Lhotská, Jirí Kléma. cbms 2001: 183-188 [doi]

Notes on Medical Decision Model CreationMatej Sprogar, Peter Kokol, Milan Zorman, Vili Podgorelec, Lenka Lhotská, Jirí Kléma. ismda 2001: 270-275 [doi]

1998

Problems of learning in multi-agent systemsLenka Lhotská, Jirí Kléma, Olga Stepánková. ifip5-3 1998: 615-624

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1998

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