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2020 – today
- 2024
[c6]Anna Maria Mihel, Spela Pecnik, Grega Vrbancic, Jonatan Lerga, Nino Krvavica:
Employing Feature Engineering for River Stage Forecasting to Improve Hybrid Model Performance. SoftCOM 2024: 1-6- 2022
- [j4]Grega Vrbancic
, Vili Podgorelec:
Efficient ensemble for image-based identification of Pneumonia utilizing deep CNN and SGD with warm restarts. Expert Syst. Appl. 187: 115834 (2022) - 2021
- [c5]Iztok Fister, Grega Vrbancic, Vili Podgorelec, Iztok Fister Jr.:
Synthetic Data Augmentation of Cycling Sport Training Datasets. ICO 2021: 65-74 - 2020
- [j3]Grega Vrbancic, Vili Podgorelec:
Transfer Learning With Adaptive Fine-Tuning. IEEE Access 8: 196197-196211 (2020) - [c4]Iztok Fister Jr., Iztok Fister, Dusan Fister, Grega Vrbancic, Vili Podgorelec:
On the Potential of the Nature-Inspired Algorithms for Pure Binary Classification. ICCS (5) 2020: 18-28 - [c3]Grega Vrbancic, Spela Pecnik, Vili Podgorelec:
Identification of COVID-19 X-ray Images using CNN with Optimized Tuning of Transfer Learning. INISTA 2020: 1-8
2010 – 2019
- 2019
- [j2]Grega Vrbancic, Iztok Fister Jr., Vili Podgorelec:
Parameter Setting for Deep Neural Networks Using Swarm Intelligence on Phishing Websites Classification. Int. J. Artif. Intell. Tools 28(6): 1960008:1-1960008:28 (2019) - [c2]Lucija Brezocnik, Iztok Fister Jr., Grega Vrbancic:
Applying Differential Evolution with Threshold Mechanism for Feature Selection on a Phishing Websites Classification. ADBIS (Short Papers and Workshops) 2019: 11-18 - 2018
- [j1]Grega Vrbancic, Lucija Brezocnik, Uros Mlakar, Dusan Fister, Iztok Fister Jr.:
NiaPy: Python microframework for building nature-inspired algorithms. J. Open Source Softw. 3(23): 613 (2018) - [c1]Grega Vrbancic, Iztok Fister Jr., Vili Podgorelec:
Swarm Intelligence Approaches for Parameter Setting of Deep Learning Neural Network: Case Study on Phishing Websites Classification. WIMS 2018: 9:1-9:8
Coauthor Index
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