| A survey of genetic algorithms for solving multi depot vehicle routing problem S Karakatič, V Podgorelec Applied Soft Computing 27, 519-532, 2015 | 318 | 2015 |
| Sensors and functionalities of non-invasive wrist-wearable devices: A review A Kamišalić, I Fister Jr, M Turkanović, S Karakatič Sensors 18 (6), 1714, 2018 | 229 | 2018 |
| Optimizing nonlinear charging times of electric vehicle routing with genetic algorithm S Karakatič Expert Systems with Applications 164, 114039, 2021 | 67 | 2021 |
| A machine learning-based method for automated blockchain transaction signing including personalized anomaly detection B Podgorelec, M Turkanović, S Karakatič Sensors 20 (1), 147, 2019 | 44 | 2019 |
| Improved classification with allocation method and multiple classifiers S Karakatič, V Podgorelec Information Fusion 31, 26-42, 2016 | 23 | 2016 |
| Impact of historical software metric changes in predicting future maintainability trends in open-source software development M Gradišnik, T Beranič, S Karakatič Applied Sciences 10 (13), 4624, 2020 | 11 | 2020 |
| Evopreprocess—data preprocessing framework with nature-inspired optimization algorithms S Karakatič Mathematics 8 (6), 900, 2020 | 9 | 2020 |
| Can we predict software vulnerability with deep neural network? C Catal, A Akbulut, S Karakatič, M Pavlinek, V Podgorelec Proc. 19th Int. Multiconf. Inf. Soc.(IS), 19-22, 2016 | 8 | 2016 |
| Evolving balanced decision trees with a multi-population genetic algorithm V Podgorelec, S Karakatič, RC Barros, MP Basgalupp 2015 IEEE Congress on Evolutionary Computation (CEC), 54-61, 2015 | 8 | 2015 |
| Development of an autonomous, intelligent and adaptive e-learning system B Šumak, V Podgorelec, S Karakatič, K Dolenc, A Šorgo 2019 42nd International Convention on Information and Communication …, 2019 | 7* | 2019 |
| Predicting grades based on students’ online course activities A Černezel, S Karakatič, B Brumen, V Podgorelec Knowledge Management in Organizations: 9th International Conference, KMO …, 2014 | 7 | 2014 |
| Building boosted classification tree ensemble with genetic programming S Karakatič, V Podgorelec Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 6 | 2018 |
| Adapting God Class thresholds for software defect prediction: A case study M Gradišnik, T Beranič, S Karakatič, G Mausaš 2019 42nd International Convention on Information and Communication …, 2019 | 5 | 2019 |
| Weighting and sampling data for individual classifiers and bagging with genetic algorithms S Karakatič, M Heričko, V Podgorelec 2015 7th International Joint Conference on Computational Intelligence (IJCCI …, 2015 | 4 | 2015 |
| Dynamic genotype reduction for narrowing the feature selection search Space S Karakatič, I Fister, D Fister 2020 IEEE 20th International Symposium on Computational Intelligence and …, 2020 | 3 | 2020 |
| DynFS: dynamic genotype cutting feature selection algorithm D Fister, I Fister Jr, S Karakatič Journal of Ambient Intelligence and Humanized Computing, 1-14, 2022 | 2 | 2022 |
| Software system comparison with semantic source code embeddings S Karakatič, A Miloševič, T Heričko Empirical Software Engineering 27 (3), 70, 2022 | 2 | 2022 |
| Towards an autonomous, intelligent and adaptive elearning system B Šumak, V Podgorelec, S Karakatič, M Heričko, A Šorgo, K Dolenc Proceedings of the Twenty-sixth International Electrotechnical and Computer …, 2017 | 2 | 2017 |
| Using similarity-based selection in evolutionary design of decision trees L Bošnjak, S Karakatič, V Podgorelec 2015 38th International Convention on Information and Communication …, 2015 | 2 | 2015 |
| A novel approach to generating test cases with genetic programming S Karakatič, T Schweighofer Knowledge Management in Organizations: 10th International Conference, KMO …, 2015 | 2 | 2015 |
Vili PodgorelecProfessor of Computer Science, University of Maribor, SloveniaPreverjeni e-poštni naslov na uni-mb.si
