Jiří Kléma
E-mail: klema::fel:cvut:cz
Web: http://ida.felk.cvut.cz/klema/
Phone: + 420-224 357 608
Address: Karlovo náměstí 13, 121 35 Prague
Office: KN:E-432
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Jiří Kléma E-mail: klema::fel:cvut:cz Web: http://ida.felk.cvut.cz/klema/ Phone: + 420-224 357 608 Address: Karlovo náměstí 13, 121 35 Prague Office: KN:E-432 |
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| Current position: | Associate Professor at the Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University, Prague. |
| Deputy head of the Department of Computer Science with responsibility for teaching. | |
| Member of the Intelligent Data Analysis Research Group. | |
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| Teaching: | XP36VPD, Selected Parts of Data Mining, PhD course |
| B4M36SAN, Statistical Data Analysis, master course | |
| B4M36SMU, Symbolic Machine Learning, master course | |
| A6M33BIN, Bioinformatics, master course | |
| A4B33ZUI, Foundations of Artificial Intelligence, bachelor course | |
| Open Informatics, a computer science program, member of the board. | |
| Students, past teaching | |
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| Research: | bioinformatics, machine learning, data mining and decision support |
| projects circRNA, OpTol, LNCRNA, SUPREME, XGENE | |
| Other research topics | |
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| Selected publications: | Kunc, V., Klema, J.: On Transformative Adaptive Activation Functions in Neural Networks for Gene Expression Inference. PLOS ONE, 16(1), pp. 1-27, 2021. (online). |
| Klema, J., Malinka, F., Zelezny, F.: Semantic biclustering for finding local, interpretable and predictive expression patterns. BMC Genomics, 18:752, 2017. (online). | |
| Andel, M., Klema, J., Krejcik, Z.: Network-Constrained Forest for Regularized Classification of Omics Data. Methods, Vol. 83, pp. 88–97, 15 July 2015. (preprint pdf, online). | |
| Libalova, H., Uhlirova, K., Klema, J., Machala, M., Sram, R., Ciganek, M. and Topinka, J.: Global Gene Expression Changes in Human Embryonic Lung Fibroblasts Induced by Organic Extracts from Respirable Air Particles. Particle and Fibre Toxicology, 9:1, 2012. (online). | |
| Krejnik, M., Klema J.: Empirical Evidence of the Applicability of Functional Clustering through Gene Expression Classification. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9:3, pp. 788-798, 2012. (online), (pdf). | |
| Holec M., Klema J., Zelezny F., Tolar J.: Comparative Evaluation of Set-Level Techniques in Predictive Classification of Gene Expression Samples. BMC Bioinformatics, 13, Suppl. 10, S15, 2012. (online). | |
| Plantevit, M., Charnois, T., Klema, J., Rigotti, C., Cremilleux, B.: Combining Sequence and Itemset Mining to Discover Named Entities in Biomedical Texts: A New Type of Pattern. International Journal of Data Mining, Modelling and Management, Vol. 1, No. 2, pp. 119-148, 2009. | |
| Klema, J., Novakova, L., Karel, F., Stepankova, O., Zelezny, F.: Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors. IEEE Transactions on Systems, Man, and Cybernetics: Part C: Applications and Reviews, Vol. 38, no. 1, pp. 3-15, 2008. (IEEE Trans. Sys Man Cyb C), (pdf). | |
| All publications, Google Scholar, Scopus Author Id, DBLP. | |
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| Personal links: | Full CV |
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