Miroslav Kubat

Associate Professor

  • 1722 Citations
1989 …2019
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Fingerprint Dive into the research topics where Miroslav Kubat is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Classifiers Engineering & Materials Science
Learning systems Engineering & Materials Science
Labels Engineering & Materials Science
Decision trees Engineering & Materials Science
Experiments Engineering & Materials Science
Decision tree Mathematics
Radial basis function networks Engineering & Materials Science
Costs Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1989 2019

  • 1722 Citations
  • 43 Article
  • 27 Conference contribution
  • 3 Chapter
  • 2 Book

A stable hybrid method for feature subset selection using particle swarm optimization with local search

Dhrif, H., Kubat, M., Giraldo, L. G. S. & Wuchty, S., Jul 13 2019, GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 13-21 9 p. (GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feature Subset Selection
Hybrid Method
Set theory
Particle swarm optimization (PSO)
Local Search

Epigenomic signatures underpin the axonal regenerative ability of dorsal root ganglia sensory neurons

Palmisano, I., Danzi, M. C., Hutson, T. H., Zhou, L., McLachlan, E., Serger, E., Shkura, K., Srivastava, P. K., Hervera, A., Neill, N. O., Liu, T., Dhrif, H., Wang, Z., Kubat, M., Wuchty, S., Merkenschlager, M., Levi, L., Elliott, E., Bixby, J. L., Lemmon, V. P. & 1 others, Di Giovanni, S., Nov 1 2019, In : Nature Neuroscience. 22, 11, p. 1913-1924 12 p.

Research output: Contribution to journalArticle

Spinal Ganglia
Sensory Receptor Cells
16 Citations (Scopus)

An Introduction to Machine Learning

Kubat, M., Sep 29 2017, Springer International Publishing. 348 p.

Research output: Book/ReportBook

Learning systems
Unsupervised learning
Decision trees
14 Citations (Scopus)

Automatic tumor segmentation in single-spectral MRI using a texture-based and contour-based algorithm

Nabizadeh, N. & Kubat, M., Jul 1 2017, In : Expert Systems with Applications. 77, p. 1-10 10 p.

Research output: Contribution to journalArticle

Magnetic resonance imaging
Image texture
Magnetic resonance
1 Citation (Scopus)

LFDA model for the assessment of water quality through Microtox® using excitation-emission matrices

Martinez, O., Dabarera, R., Premaratne, K., Kubat, M. & Englehardt, J. D., 2017, In : Intelligent Data Analysis. 21, 1, p. 181-203 23 p.

Research output: Contribution to journalArticle

Water Quality
Water quality
Graphical Models