Miroslav Kubat

Associate Professor

  • 1679 Citations
1989 …2019
If you made any changes in Pure, your changes will be visible here soon.

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.

  • 1 Similar Profiles
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

  • 1679 Citations
  • 42 Article
  • 26 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
14 Citations (Scopus)

An Introduction to Machine Learning

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

Research output: Book/ReportBook

Learning systems
Classifiers
Unsupervised learning
Textbooks
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
Tumors
Textures
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
Dirichlet
Water quality
Excitation
Graphical Models
45 Citations (Scopus)

An introduction to machine learning

Kubat, M., Jan 1 2015, Springer International Publishing. 291 p.

Research output: Book/ReportBook

Learning systems
Classifiers
Decision trees
Support vector machines
Genetic algorithms