Aleksandar Kartelj

Aleksandar Kartelj completed his PhD in Computer Science at Faculty of Mathematics in the year 2014. His research interests cover the areas of optimization, mathematical programming, and data mining. His publications are mostly related to metaheuristic optimization methods, data classification, and dimensionality reduction.


Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Veljko Milutinović, Nenad Mitić, Aleksandar Kartelj, Miloš Kotlar. © 2022. 296 pages.
Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural...