Transfer Learning With Adaptive Fine-Tuning G Vrbančič, V Podgorelec IEEE Access 8, 196197-196211, 2020 | 145 | 2020 |
Datasets for phishing websites detection G Vrbančič, I Fister Jr, V Podgorelec Data in Brief 33, 106438, 2020 | 88 | 2020 |
NiaPy: Python microframework for building nature-inspired algorithms G Vrbančič, L Brezočnik, U Mlakar, D Fister, I Fister Jr The Journal of Open Source Software, 2018 | 82 | 2018 |
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 | 68 | 2018 |
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 | 53 | 2018 |
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 | 37 | 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 | 29 | 2022 |
Parameter Setting for Deep Neural Networks Using Swarm Intelligence on Phishing Websites Classification G Vrbančič, I Fister Jr, V Podgorelec International Journal on Artificial Intelligence Tools 28 (06), 1960008, 2019 | 22 | 2019 |
Transfer Learning Tuning Utilizing Grey Wolf Optimizer for Identification of Brain Hemorrhage from Head CT Images G Vrbancic, M Zorman, V Podgorelec Computer Science Research Conference 57, 2019 | 20 | 2019 |
Phishing Websites Dataset G Vrbančič Mendeley Data 1, 2020, 2020 | 18 | 2020 |
Identification of COVID-19 X-ray Images using CNN with Optimized Tuning of Transfer Learning G Vrbančič, Š Pečnik, V Podgorelec 2020 International Conference on INnovations in Intelligent SysTems and …, 2020 | 16 | 2020 |
Automatic Detection of Heartbeats in Heart Sound Signals Using Deep Convolutional Neural Networks G Vrbancic, V Podgorelec Elektronika ir Elektrotechnika 25 (3), 71-76, 2019 | 12 | 2019 |
Hyper-parameter optimization of convolutional neural networks for classifying COVID-19 X-ray images G Vrbančič, Š Pečnik, V Podgorelec Computer Science and Information Systems 11 (01), 56-56, 2022 | 11 | 2022 |
Applying differential evolution with threshold mechanism for feature selection on a phishing websites classification L Brezočnik, I Fister, G Vrbančič New Trends in Databases and Information Systems: ADBIS 2019 Short Papers …, 2019 | 10 | 2019 |
Datasets for phishing websites detection. Data Brief 33, 106438 (2020) G Vrbancic, I Fister Jr, V Podgorelec | 5 | 2020 |
Digital Transformation Using Artificial Intelligence and Machine Learning: An Electrical Energy Consumption Case V Podgorelec, S Karakatič, I Fister Jr, L Brezočnik, Š Pečnik, G Vrbančič International Conference “New Technologies, Development and Applications …, 2022 | 4 | 2022 |
SportyDataGen: an online generator of endurance sports activity collections I Fister Jr, G Vrbančič, L Brezočnik, V Podgorelec, I Fister Central European Conference on Information and Intelligent Systems, 171-178, 2018 | 3 | 2018 |
Profiling the Arion rufus snails with computer vision G Vrbančič, V Podgorelec, S Salcedo-Sanz, I Fister 2022 IEEE 22nd International Symposium on Computational Intelligence and …, 2022 | 2 | 2022 |
On the potential of the nature-inspired algorithms for pure binary classification I Fister, I Fister, D Fister, G Vrbančič, V Podgorelec Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 2 | 2020 |
Designing Deep Neural Network Topologies with Population-Based Metaheuristics G Vrbančič, I Fister Jr, V Podgorelec Conference: Central European Conference on Information and Intelligent Systems, 2018 | 2 | 2018 |