| Decision trees: an overview and their use in medicine V Podgorelec, P Kokol, B Stiglic, I Rozman Journal of medical systems 26, 445-463, 2002 | 961 | 2002 |
| Swarm intelligence algorithms for feature selection: a review L Brezočnik, I Fister Jr, V Podgorelec Applied Sciences 8 (9), 1521, 2018 | 403 | 2018 |
| A survey of genetic algorithms for solving multi depot vehicle routing problem S Karakatič, V Podgorelec Applied Soft Computing 27, 519-532, 2015 | 384 | 2015 |
| Text classification method based on self-training and LDA topic models M Pavlinek, V Podgorelec Expert Systems with Applications 80, 83-93, 2017 | 256 | 2017 |
| Transfer learning with adaptive fine-tuning G Vrbančič, V Podgorelec IEEE Access 8, 196197-196211, 2020 | 201 | 2020 |
| Datasets for phishing websites detection G Vrbančič, I Fister Jr, V Podgorelec Data in Brief 33, 106438, 2020 | 111 | 2020 |
| Taking advantage of education data: Advanced data analysis and reporting in virtual learning environments V Podgorelec, S Kuhar Elektronika ir Elektrotechnika 114 (8), 111-116, 2011 | 94 | 2011 |
| Genetic algorithm based system for patient scheduling in highly constrained situations V Podgorelec, P Kokol Journal of medical systems 21, 417-427, 1997 | 88 | 1997 |
| Swarm intelligence approaches for parameter setting of deep learning neural network: case study on phishing websites classification G Vrbančič, I Fister Jr, V Podgorelec Proceedings of the 8th international conference on web intelligence, mining …, 2018 | 70 | 2018 |
| Improving mining of medical data by outliers prediction V Podgorelec, M Hericko, I Rozman 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 91-96, 2005 | 64 | 2005 |
| Knowledge discovery with classification rules in a cardiovascular dataset V Podgorelec, P Kokol, MM Stiglic, M Heričko, I Rozman Computer Methods and Programs in Biomedicine 80, S39-S49, 2005 | 62 | 2005 |
| Towards more optimal medical diagnosing with evolutionary algorithms V Podgorelec, P Kokol Journal of Medical Systems 25, 195-219, 2001 | 59 | 2001 |
| Automatic classification of motor impairment neural disorders from EEG signals using deep convolutional neural networks G Vrbancic, V Podgorelec Elektronika ir Elektrotechnika 24 (4), 3-7, 2018 | 51 | 2018 |
| Analyzing EEG signals with machine learning for diagnosing Alzheimer’s disease V Podgorelec Elektronika ir elektrotechnika 18 (8), 61-64, 2012 | 44 | 2012 |
| Classification of similar sports images using convolutional neural network with hyper-parameter optimization V Podgorelec, Š Pečnik, G Vrbančič Applied Sciences 10 (23), 8494, 2020 | 40 | 2020 |
| Efficient ensemble for image-based identification of Pneumonia utilizing deep CNN and SGD with warm restarts G Vrbančič, V Podgorelec Expert Systems with Applications 187, 115834, 2022 | 38 | 2022 |
| Identification of self-admitted technical debt using enhanced feature selection based on word embedding J Flisar, V Podgorelec IEEE Access 7, 106475-106494, 2019 | 37 | 2019 |
| Finding the right decision tree's induction strategy for a hard real world problem M Zorman, V Podgorelec, P Kokol, M Peterson, M Šprogar, M Ojsteršek International journal of medical informatics 63 (1-2), 109-121, 2001 | 37 | 2001 |
| Decision tree learning V Podgorelec, M Zorman Encyclopedia of complexity and systems science, 1-28, 2015 | 32 | 2015 |
| Evolutionary induced decision trees for dangerous software modules prediction V Podgorelec, P Kokol Information Processing Letters 82 (1), 31-38, 2002 | 30 | 2002 |
Peter KokolUniversity of Maribor, Faculty of electrical, engineering and computer sciencePreverjeni e-poštni naslov na um.si
