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Grega Vrbancic
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2020 – today
- 2024
- [c7]Vili Podgorelec, Iztok Fister, Grega Vrbancic:
Towards Green AI by Reducing Training Effort of Recurrent Neural Networks Using Hyper-Parameter Optimization with Dynamic Stopping Criteria. SISY 2024: 161-166 - [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
Synthetic Data Augmentation of Cycling Sport Training Datasets. ICO 2021: 65-74 - 2020
- [j3]Grega Vrbancic
Transfer Learning With Adaptive Fine-Tuning. IEEE Access 8: 196197-196211 (2020) - [c4]Iztok Fister Jr.
On the Potential of the Nature-Inspired Algorithms for Pure Binary Classification. ICCS (5) 2020: 18-28 - [c3]Grega Vrbancic
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
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
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
NiaPy: Python microframework for building nature-inspired algorithms. J. Open Source Softw. 3(23): 613 (2018) - [c1]Grega Vrbancic
Swarm Intelligence Approaches for Parameter Setting of Deep Learning Neural Network: Case Study on Phishing Websites Classification. WIMS 2018: 9:1-9:8
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last updated on 2024-11-27 21:23 CET by the dblp team
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