Kristian Sabo

dblp:77/5230 · DBLP profile ↗
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12ranked-venue papers
4as first author
6since 2021 · last 2025
0000-0002-1787-3161ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 1 first-author · 3 since 2021Theory of computation · 3 · 1 first-author · 2 since 2021Databases, data management, data science and information retrieval · 2 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author
YearPublicationVenuePosition
2025 A partitioning incremental algorithm using adaptive Mahalanobis fuzzy clustering and identifying the most appropriate partition
Rudolf Scitovski, Kristian Sabo, Danijel Grahovac, Francisco Martínez-Álvarez, Sime Ungar
Pattern Anal. Appl.2
2024 A method for searching for a globally optimal k-partition of higher-dimensional datasets
Kristian Sabo, Rudolf Scitovski, Sime Ungar, Zoran Tomljanovic
J. Glob. Optim.1
2023 A new efficient method for solving the multiple ellipse detection problem
Rudolf Scitovski, Kristian Sabo, Patrick Nikic, Snjezana Majstorovic
Expert Syst. Appl.2
2023 Minimal distance index - A new clustering performance metrics
Rudolf Scitovski, Kristian Sabo, Danijel Grahovac, Sime Ungar
Inf. Sci.2
2023 Multiple spheres detection problem - Center based clustering approach
Kristian Sabo, Rudolf Scitovski, Sime Ungar
Pattern Recognit. Lett.1
2021 A combination of RANSAC and DBSCAN methods for solving the multiple geometrical object detection problem
Rudolf Scitovski, Snjezana Majstorovic, Kristian Sabo
J. Glob. Optim.3
2020 Multiple Ellipse Detection by using RANSAC and DBSCAN Method
Kristian Sabo, Rudolf Scitovski
ICPRAM1
2020 DBSCAN-like clustering method for various data densities
Rudolf Scitovski, Kristian Sabo
Pattern Anal. Appl.2
2019 A Fast and Efficient Method for Solving the Multiple Closed Curve Detection Problem
Una Radojicic, Rudolf Scitovski, Kristian Sabo
ICPRAM3
2019 Application of the DIRECT algorithm to searching for an optimal k-partition of the set A ⊂ Rn and its application to the multiple circle detection problem
Rudolf Scitovski, Kristian Sabo
J. Glob. Optim.2
2015 An approach to cluster separability in a partition
Kristian Sabo, Rudolf Scitovski
Inf. Sci.1
2014 Analysis of the k-means algorithm in the case of data points occurring on the border of two or more clusters
Rudolf Scitovski, Kristian Sabo
Knowl. Based Syst.2