Skeletonization Based on Metrical Neighborhood Sequences. - Attila Fazekas; Kálmán Palágyi; György Kovács 002; Gábor Németh (ICVS, 2008)

The Multi-modal Rock-Paper-Scissors Game. - György Kovács 002; Csaba Makara; Attila Fazekas (IVA, 2009)

The openip open source image processing library. - György Kovács 002; János István Iván; Árpád Pányik; Attila Fazekas (ACM Multimedia, 2010)

Exponential contrast maximization of intensity images. - György Kovács 002; Attila Fazekas; András Hajdu (ISPA, 2011)

Extraction of vascular system in retina images using Averaged One-Dependence Estimators and orientation estimation in Hidden Markov Random Fields. - György Kovács 002; András Hajdu (ISBI, 2011)

Translation Invariance in the Polynomial Kernel Space and Its Applications in kNN Classification. - György Kovács 002; András Hajdu (Neural Process. Lett., 2013)

A self-calibrating approach for the segmentation of retinal vessels by template matching and contour reconstruction. - György Kovács 002; András Hajdu (Medical Image Anal., 2016)

Advances in the theory and applications of (dis)similarity functions in pattern recognition - György Kovács 002 (2016)

Improving the Performance of the k Rare Class Nearest Neighbor Classifier by the Ranking of Point Patterns. - Zsolt László; Levente Török; György Kovács 002 (FoIKS, 2018)

Matching by Monotonic Tone Mapping. - György Kovács 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

An empirical comparison and evaluation of minority oversampling techniques on a large number of imbalanced datasets. - György Kovács 002 (Appl. Soft Comput., 2019)

Smote-variants: A python implementation of 85 minority oversampling techniques. - György Kovács 002 (Neurocomputing, 2019)

Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling. - Gilles Vandewiele; Isabelle Dehaene; György Kovács 002; Lucas Sterckx; Olivier Janssens; Femke Ongenae; Femke De Backere; Filip De Turck; Kristien Roelens; Johan Decruyenaere; Sofie Van Hoecke; Thomas Demeester (CoRR, 2020)

Approximately Optimal Binning for the Piecewise Constant Approximation of the Normalized Unexplained Variance (nUV) Dissimilarity Measure. - Attila Fazekas; György Kovács 002 (CoRR, 2020)

Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling. - Gilles Vandewiele; Isabelle Dehaene; György Kovács 002; Lucas Sterckx; Olivier Janssens; Femke Ongenae; Femke De Backere; Filip De Turck; Kristien Roelens; Johan Decruyenaere; Sofie Van Hoecke; Thomas Demeester (Artif. Intell. Medicine, 2021)

A general technique for the estimation of farm animal body part weights from CT scans and its applications in a rabbit breeding program. - Ádám Csóka; György Kovács 002; Virág Ács; Zsolt Matics; Zsolt Gerencsér; Zsolt Szendro; István Nagy 005; Örs Petneházy; Imre Repa; Mariann Moizs; Tamás Donkó (Comput. Electron. Agric., 2022)

A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papers. - György Kovács 002; Attila Fazekas (Medical Image Anal., 2022)

The Conditioning Bias in Binary Decision Trees and Random Forests and Its Elimination. - Gábor Timár; György Kovács 002 (CoRR, 2023)

Optimal binning for a variance based alternative of mutual information in pattern recognition. - Attila Fazekas; György Kovács 002 (Neurocomputing, 2023)

Testing the consistency of performance scores reported for binary classification problems. - Attila Fazekas; György Kovács 002 (Appl. Soft Comput., 2024)

Enumerating the k-fold configurations in multi-class classification problems. - Attila Fazekas; György Kovács 002 (CoRR, 2024)

mlscorecheck: Testing the consistency of reported performance scores and experiments in machine learning. - György Kovács 002; Attila Fazekas (Neurocomputing, 2024)