Grega Vrbančič
Grega Vrbančič
University of Maribor, Faculty of Electrical Engineering and Computer Science
Verified email at - Homepage
Cited by
Cited by
Transfer Learning With Adaptive Fine-Tuning
G Vrbančič, V Podgorelec
IEEE Access 8, 196197-196211, 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
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
Datasets for phishing websites detection
G Vrbančič, I Fister Jr, V Podgorelec
Data in Brief 33, 106438, 2020
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
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
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
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
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
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
Phishing Websites Dataset
G Vrbančič
Mendeley Data 1, 2020, 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
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
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
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
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
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
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
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
Metoda Prilagodljivega Uglaševanja Slojev Konvolucijskih Nevronskih mrež Pri Strojnem Učenju s Prenosom Znanja
G Vrbančič
PQDT-Global, 2021
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