RESEARCHER PROFILE

Marek Krętowski

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M

Bialystok University of Technology

Data Mining Algorithms and ApplicationsEvolutionary Algorithms and ApplicationsMedical Image Segmentation TechniquesMetaheuristic Optimization Algorithms ResearchGene expression and cancer classification

Marek Krętowski works in Data Mining Algorithms and Applications, Evolutionary Algorithms and Applications, Medical Image Segmentation Techniques, Metaheuristic Optimization Algorithms Research, Gene expression and cancer classification. Recorded institutional associations include Bialystok University of Technology.

152Publications
1,594Citations
22H-index

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. The role of decision tree representation in regression problems – An evolutionary perspective

    2016 · 137 citations
  2. Physiologically based modeling of 3-D vascular networks and CT scan angiography

    2003 · 61 citations
  3. Decision tree underfitting in mining of gene expression data. An evolutionary multi-test tree approach

    2019 · 57 citations
  4. An Evolutionary Algorithm for Oblique Decision Tree Induction

    2004 · 49 citations
  5. Toward a better understanding of texture in vascular CT scan simulated images

    2001 · 45 citations
  6. An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction

    1999 · 43 citations
  7. Multi-test decision tree and its application to microarray data classification

    2014 · 43 citations
  8. Multiscale Model of Liver DCE-MRI Towards a Better Understanding of Tumor Complexity

    2009 · 38 citations
  9. Evolutionary induction of a decision tree for large-scale data: a GPU-based approach

    2016 · 36 citations
  10. A comparison of different machine-learning techniques for the selection of a panel of metabolites allowing early detection of brain tumors

    2023 · 36 citations
  11. Evolutionary Decision Trees in Large-Scale Data Mining

    2019 · 35 citations
  12. Global learning of decision trees by an evolutionary algorithm

    2005 · 33 citations
  13. Fast algorithm for 3-D vascular tree modeling

    2003 · 32 citations
  14. Computational modeling of MR flow imaging by the lattice Boltzmann method and Bloch equation

    2013 · 31 citations
  15. Discovery of decision rules from databases: An evolutionary approach

    1998 · 30 citations
  16. Evolutionary Induction of Mixed Decision Trees

    2007 · 30 citations
  17. Integration of solutions and services for multi-omics data analysis towards personalized medicine

    2021 · 30 citations
  18. Steering the interpretability of decision trees using lasso regression - an evolutionary perspective

    2023 · 29 citations
  19. Computer-Aided Diagnosis of Liver Tumors Based on Multi-Image Texture Analysis of Contrast-Enhanced CT. Selection of the Most Appropriate Texture Features

    2013 · 27 citations
  20. Parallel and Distributed Computation

    2019 · 27 citations
  21. Evolutionary induction of global model trees with specialized operators and memetic extensions

    2014 · 24 citations
  22. Multi-GPU approach to global induction of classification trees for large-scale data mining

    2021 · 24 citations
  23. Evolutionary Learning of Linear Trees with Embedded Feature Selection

    2006 · 22 citations
  24. Top Scoring Pair Decision Tree for Gene Expression Data Analysis

    2011 · 22 citations
  25. Global Induction of Oblique Decision Trees: An Evolutionary Approach

    2006 · 21 citations

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