György Kovács

Orcid: 0000-0003-1736-0988

Affiliations:
  • Analytical Minds Ltd., Hungary
  • University of Debrecen, Hungary, (PhD 2016)


According to our database1, György Kovács authored at least 22 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Enumerating the k-fold configurations in multi-class classification problems.
CoRR, 2024

2023
Optimal binning for a variance based alternative of mutual information in pattern recognition.
Neurocomputing, 2023

The Conditioning Bias in Binary Decision Trees and Random Forests and Its Elimination.
CoRR, 2023

mlscorecheck: Testing the consistency of reported performance scores and experiments in machine learning.
CoRR, 2023

Testing the Consistency of Performance Scores Reported for Binary Classification Problems.
CoRR, 2023

2022
A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papers.
Medical Image Anal., 2022

A general technique for the estimation of farm animal body part weights from CT scans and its applications in a rabbit breeding program.
Comput. Electron. Agric., 2022

2021
Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling.
Artif. Intell. Medicine, 2021

2020
Approximately Optimal Binning for the Piecewise Constant Approximation of the Normalized Unexplained Variance (nUV) Dissimilarity Measure.
CoRR, 2020

Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling.
CoRR, 2020

2019
Smote-variants: A python implementation of 85 minority oversampling techniques.
Neurocomputing, 2019

An empirical comparison and evaluation of minority oversampling techniques on a large number of imbalanced datasets.
Appl. Soft Comput., 2019

2018
Matching by Monotonic Tone Mapping.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Improving the Performance of the k Rare Class Nearest Neighbor Classifier by the Ranking of Point Patterns.
Proceedings of the Foundations of Information and Knowledge Systems, 2018

2016
Advances in the theory and applications of (dis)similarity functions in pattern recognition
PhD thesis, 2016

A self-calibrating approach for the segmentation of retinal vessels by template matching and contour reconstruction.
Medical Image Anal., 2016

2013
Translation Invariance in the Polynomial Kernel Space and Its Applications in kNN Classification.
Neural Process. Lett., 2013

2011
Extraction of vascular system in retina images using Averaged One-Dependence Estimators and orientation estimation in Hidden Markov Random Fields.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Exponential contrast maximization of intensity images.
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011

2010
The openip open source image processing library.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

2009
The Multi-modal Rock-Paper-Scissors Game.
Proceedings of the Intelligent Virtual Agents, 9th International Conference, 2009

2008
Skeletonization Based on Metrical Neighborhood Sequences.
Proceedings of the Computer Vision Systems, 6th International Conference, 2008


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