Naziv: | doc. dr. računalništva in informatike |
E-mail: | grega.vrbancic@um.si |
Telefon: | (02) 220 4711 |
Prostor: | G2‐1N.07 Laboratorij Newton |
Govorilne ure: | Povezava |
Rezervacija termina | |
Profil LinkedIn: |
Glavna področja raziskovanja
- Umetna inteligenca
- Strojno učenje
- Globoko učenje
- Podatkovno rudarjenje
Publikacije
Celoten izpis na voljo na COBISS-u.
Izbrane publikacije:
- Vrbančič, G. and Podgorelec, V., 2021. Efficient ensemble for image-based identification of Pneumonia utilizing deep CNN and SGD with warm restarts. Expert Systems with Applications, p.115834. DOI: 10.1016/j.eswa.2021.115834
- Podgorelec, V., Pečnik, Š. and Vrbančič, G., 2020. Classification of Similar Sports Images Using Convolutional Neural Network with Hyper-Parameter Optimization. Applied Sciences, 10(23), p.8494. DOI: 10.3390/app10238494
- Vrbančič, G. and Podgorelec, V., 2020. Transfer Learning With Adaptive Fine-Tuning. IEEE Access, 8, pp.196197-196211. DOI: 10.1109/ACCESS.2020.3034343
- Vrbančič, G., Fister Jr, I. and Podgorelec, V., 2019. Parameter setting for deep neural networks using swarm intelligence on phishing websites classification. International Journal on Artificial Intelligence Tools, 28(06), p.1960008. DOI: 10.1142/S021821301960008X
- Vrbancic, G. and Podgorelec, V., 2019. Automatic Detection of Heartbeats in Heart Sound Signals Using Deep Convolutional Neural Networks. Elektronika ir Elektrotechnika, 25(3), pp.71-76. DOI: 10.5755/j01.eie.25.3.23680
- Vrbancic, G. and Podgorelec, V., 2018. Automatic classification of motor impairment neural disorders from EEG signals using deep convolutional neural networks. Elektronika ir Elektrotechnika, 24(4), pp.3-7. DOI: 10.5755/j01.eie.24.4.21469
Recenzent
- IEEE Access
- Expert Systems with Applications
- Plos One
- Scientific Reports
- International Journal of Bio-Inspired Computation
- Data in Brief
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