2 citations · 2 across the 3 of their papers we have counts for
3 papers
Solve it with EASE
Adam Viktorin, Tomas Kadavy, Jozef Kovac +2
This paper presents EASE (Effortless Algorithmic Solution Evolution), an open-source and fully modular framework for iterative algorithmic solution generation leveraging large lang…
Isolation Forest in Novelty Detection Scenario
Adam Ulrich, Jan Krňávek, Roman Šenkeřík +2
Data mining offers a diverse toolbox for extracting meaningful structures from complex datasets, with anomaly detection emerging as a critical subfield particularly in the context…
Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics
Piotr Kipinski, Hubert Guzowski, Aleksandra Urbanczyk +8
Metaheuristics are universal optimization algorithms which should be used for solving difficult problems, unsolvable by classic approaches. In this paper we aim at constructing nov…