A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations T Eftimov, B Koroušić Seljak, P Korošec PloS one 12 (6), e0179488, 2017 | 182 | 2017 |
The differential ant-stigmergy algorithm P Korošec, J Šilc, B Filipič Information Sciences 192, 82-97, 2012 | 127 | 2012 |
Solving the mesh-partitioning problem with an ant-colony algorithm P Korošec, J Šilc, B Robič Parallel computing 30 (5-6), 785-801, 2004 | 95 | 2004 |
A novel approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics T Eftimov, P Korošec, BK Seljak Information Sciences 417, 186-215, 2017 | 92 | 2017 |
Differential evolution and differential ant-stigmergy on dynamic optimisation problems J Brest, P Korošec, J Šilc, A Zamuda, B Bošković, MS Maučec International Journal of Systems Science 44 (4), 663-679, 2013 | 79 | 2013 |
Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis U Škvorc, T Eftimov, P Korošec Applied Soft Computing 90, 106138, 2020 | 74 | 2020 |
StandFood: standardization of foods using a semi-automatic system for classifying and describing foods according to FoodEx2 T Eftimov, P Korošec, B Koroušić Seljak Nutrients 9 (6), 542, 2017 | 67 | 2017 |
A comparative study of stochastic optimization methods in electric motor design T Tušar, P Korošec, G Papa, B Filipič, J Šilc Applied Intelligence 27, 101-111, 2007 | 67 | 2007 |
Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis K Tashkova, P Korošec, J Šilc, L Todorovski, S Džeroski BMC systems biology 5, 1-26, 2011 | 57 | 2011 |
A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space T Eftimov, P Korošec Information Sciences 489, 255-273, 2019 | 48 | 2019 |
The differential ant-stigmergy algorithm applied to dynamic optimization problems P Korosec, J Silc 2009 IEEE Congress on Evolutionary Computation, 407-414, 2009 | 45 | 2009 |
DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms T Eftimov, G Petelin, P Korošec Applied Soft Computing 87, 105977, 2020 | 40 | 2020 |
The continuous differential ant-stigmergy algorithm applied to real-world optimization problems P Korošec, J Šilc 2011 IEEE congress of evolutionary computation (CEC), 1327-1334, 2011 | 40* | 2011 |
CEC real-parameter optimization competitions: Progress from 2013 to 2018 U Škvorc, T Eftimov, P Korošec 2019 IEEE congress on evolutionary computation (CEC), 3126-3133, 2019 | 30 | 2019 |
Disadvantages of statistical comparison of stochastic optimization algorithms T Eftimov, P Korošec, BK Seljak Proceedings of the bioinspired optimizaiton methods and their applications …, 2016 | 30 | 2016 |
A multi-objective approach to the application of real-world production scheduling P Korošec, U Bole, G Papa Expert systems with applications 40 (15), 5839-5853, 2013 | 30 | 2013 |
Selector: selecting a representative benchmark suite for reproducible statistical comparison G Cenikj, RD Lang, AP Engelbrecht, C Doerr, P Korošec, T Eftimov Proceedings of The Genetic and Evolutionary Computation Conference, 620-629, 2022 | 29 | 2022 |
Explainable landscape-aware optimization performance prediction R Trajanov, S Dimeski, M Popovski, P Korošec, T Eftimov 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-08, 2021 | 29 | 2021 |
MIGHT: Statistical methodology for missing-data imputation in food composition databases G Ispirova, T Eftimov, P Korošec, B Koroušić Seljak Applied Sciences 9 (19), 4111, 2019 | 27 | 2019 |
The differential ant-stigmergy algorithm for large-scale global optimization P Korošec, K Tashkova, J Šilc IEEE Congress on Evolutionary Computation, 1-8, 2010 | 27 | 2010 |