Jirí Kléma

According to our database, Jirí Kléma authored at least 31 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks.

Vladimír Kunc, Jirí Kléma

CoRR, 2024

2022

circGPA: circRNA functional annotation based on probability-generating functions.

Petr Rysavý, Jirí Kléma, Michaela Dostálová Merkerová

BMC Bioinform., 2022

On functional annotation with gene co-expression networks.

Vladimír Kunc, Jirí Kléma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020

Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator.

Frantisek Malinka, Filip Zelezný, Jirí Kléma

BioData Min., 2020

2019

Evaluating Model-free Directional Dependency Methods on Single-cell RNA Sequencing Data with Severe Dropout.

Eliska Dvoráková, Sajal Kumar, Jirí Kléma, Filip Zelezný, Karel Drbal, Mingzhou Song

Proceedings of the ICBRA '19: 6th International Conference on Bioinformatics Research and Applications, 2019

2015

Sequential pattern mining for discovering gene interactions and their contextual information from biomedical texts.

Peggy Cellier, Thierry Charnois, Marc Plantevit, Christophe Rigotti, Bruno Crémilleux, Olivier Gandrillon, Jirí Kléma, Jean-Luc Manguin

J. Biomed. Semant., 2015

Sparse omics-network regularization to increase interpretability and performance of linear classification models.

Michael Andel, Filip Masri, Jirí Kléma, Zdenek Krejcík, Monika Belickova

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

miXGENE Tool for Learning from Heterogeneous Gene Expression Data Using Prior Knowledge.

Matej Holec, Valentin Gologuzov, Jirí Kléma

Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

Interaction-Based Aggregation of mRNA and miRNA Expression Profiles to Differentiate Myelodysplastic Syndrome.

Jirí Kléma, Jan Zahálka, Michael Andel, Zdenek Krejcík

Proceedings of the Biomedical Engineering Systems and Technologies, 2014

Knowledge-based Subtractive Integration of mRNA and miRNA Expression Profiles to Differentiate Myelodysplastic Syndrome.

Jirí Kléma, Jan Zahálka, Michael Andel, Zdenek Krejcík

Proceedings of the BIOINFORMATICS 2014, 2014

Network-constrained forest for regularized omics data classification.

Michael Andel, Jirí Kléma, Zdenek Krejcík

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2012

Empirical Evidence of the Applicability of Functional Clustering through Gene Expression Classification.

Milos Krejnik, Jirí Kléma

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Comparative evaluation of set-level techniques in predictive classification of gene expression samples.

Matej Holec, Jirí Kléma, Filip Zelezný, Jakub Tolar

BMC Bioinform., 2012

Machine learning applications in bioinformatics.

Jirí Kléma

Proceedings of the Conference on Theory and Practice of Information Technologies, 2012

2011

Schizophrenia Prediction with the Adaboost Algorithm.

Jan Hrdlicka, Jirí Kléma

Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011

Comparative Evaluation of Set-Level Techniques in Microarray Classification.

Jirí Kléma, Matej Holec, Filip Zelezný, Jakub Tolar

Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011

2009

Combining sequence and itemset mining to discover named entities in biomedical texts: a new type of pattern.

Marc Plantevit, Thierry Charnois, Jirí Kléma, Christophe Rigotti, Bruno Crémilleux

Int. J. Data Min. Model. Manag., 2009

Integrating Multiple-Platform Expression Data through Gene Set Features.

Matej Holec, Filip Zelezný, Jirí Kléma, Jakub Tolar

Proceedings of the Bioinformatics Research and Applications, 5th International Symposium, 2009

2008

Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors.

Jirí Kléma, Lenka Nováková, Filip Karel, Olga Stepánková, Filip Zelezný

IEEE Trans. Syst. Man Cybern. Part C, 2008

Constraint-Based Knowledge Discovery from SAGE Data.

Jirí Kléma, Sylvain Blachon, Arnaud Soulet, Bruno Crémilleux, Olivier Gandrillon

Silico Biol., 2008

Gene expression data mining guided by genomic background knowledge.

Pavel Smrz, Jana Silhavá, Jirí Kléma, Filip Zelezný

Proceedings of the SOFSEM 2008: Theory and Practice of Computer Science, 34th Conference on Current Trends in Theory and Practice of Computer Science, Nový Smokovec, Slovakia, January 19-25, 2008, Volume II, 2008

2006

Efficient Mining Under Rich Constraints Derived from Various Datasets.

Arnaud Soulet, Jirí Kléma, Bruno Crémilleux

Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

Mining Plausible Patterns from Genomic Data.

Jirí Kléma, Arnaud Soulet, Bruno Crémilleux, Sylvain Blachon, Olivier Gandrillon

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005

Optimized model tuning in medical systems.

Jirí Kléma, Jirí Kubalík, Lenka Lhotská

Comput. Methods Programs Biomed., 2005

2004

Intelligent Diagnosis and Learning in Centrifugal Pumps.

Jirí Kléma, Ondrej Flek, Jan Kout, Lenka Nováková

Proceedings of the Emerging Solutions for Future Manufacturing Systems, 2004

Application of Soft Computing Techniques to Rescue Operation Planning.

Jirí Kubalík, Jirí Kléma, Miroslav Kulich

Proceedings of the Artificial Intelligence and Soft Computing, 2004

2002

Data Mining and Resource Allocation: A Case Study.

Olga Stepánková, Jirí Kléma, Stepán Lauryn, Petr Miksovský, Lenka Nováková

Proceedings of the Knowledge and Technology Integration in Production and Services: Balancing Knowledge in Product and Service Life Cycle, 2002

Optimized Model Tuning in Medical Systems.

Jirí Kléma, Jirí Kubalík, Jiri Palous

Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 2002

2001

Notes on Medical Decision Model Creation.

Matej Sprogar, Peter Kokol, Milan Zorman, Vili Podgorelec, Lenka Lhotská, Jirí Kléma

Proceedings of the Medical Data Analysis, Second International Symposium, 2001

Evolving Groups of Basic Decision Trees.

Matej Sprogar, Peter Kokol, Milan Zorman, Vili Podgorelec, Lenka Lhotská, Jirí Kléma

Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 2001

1998

Problems of learning in multi-agent systems.

Lenka Lhotská, Jirí Kléma, Olga Stepánková

Proceedings of the Intelligent Systems for Manufacturing: Multi-Agent Systems and Virtual Organizations, Proceedings of the BASYS, 1998