Peter Korošec

Journal articlesshow all

CafeteriaSA corpus: Scientific abstracts annotated across different food semantic resources, DATABASE (2022)
CafeteriaFCD corpus: Food consumption data annotated with regard to different food semantic resources, FOODS (2022)
Transfer Learning Analysis of Multi-Class Classification for Landscape-Aware Algorithm Selection, MATHEMATICS (2022)
Less is more: Selecting the right benchmarking set of data for time series classification, EXPERT SYST APPL (2022)
Deep Statistical Comparison for Multi-objective Stochastic Optimization Algorithms, SWARM EVOL COMPUT (2021)


Conference papersshow all

Explaining Differential Evolution Performance Through Problem Landscape Characteristics, BIOMA2022
Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction, IEEE CEC at IEEE WCCI 2022
A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations, IEEE CEC at IEEE WCCI 2022
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants, GECCO 2022
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison, GECCO 2022
Explainable Landscape Analysis in Automated Algorithm Performance Prediction, EvoAPPS 2022
Explainable Landscape-Aware Optimization Performance Prediction, IEEE SSCI 2021
Robust Benchmarking for Multi-Objective Optimization, GECCO 2021
The Effect of Sampling Methods on the Invariance to Function Transforms when using Exploratory Landscape Analysis, IEEE CEC 2021
Reducing Bias in Multi-Objective Optimization Benchmarking, HOP at GECCO 2021
A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems, GECCO 2021
Personalizing Performance Regression Models to Black-Box Optimization Problems, GECCO 2021


Books & Chaptersshow all

Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms, Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms, Springer Cham (2022)
Multilevel optimisation, Optimization Under Uncertainty with Applications to Aerospace Engineering, Springer (2021)
Comparison of multi-objective approaches to the real-world production scheduling, Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences, Springer (2019)


Other publicationsshow all

How to Perform a Proper Statistical Study Analysis? Where we Started and Where are we Now in Statistical Performance Assessment Approaches for Stochastic Optimization Algorithms? (2018)