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32 rezultatov
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1. Improving convolutional neural networks performance for image classification using test time augmentation
Ibrahem Kandel, Mauro Castelli, 2021, izvirni znanstveni članek

Ključne besede: image classification, convolutional neural networks, transfer learning, test time 29 augmentation, deep learning, ensemble learning
Celotno besedilo (datoteka, 1,82 MB) Gradivo ima več datotek! Več...

2. Comparing stacking ensemble techniques to improve musculoskeletal fracture image classification
Ibrahem Kandel, Mauro Castelli, Aleš Popovič, 2021, izvirni znanstveni članek

Ključne besede: neuroscience, deep learning, image classification, stacking, ensemble learning, convolutional neural networks, transfer learning, medical images
Celotno besedilo (datoteka, 1,12 MB) Gradivo ima več datotek! Več...

3. Ekstrakcija pravil iz globokih nevronskih mrež
Urška Matjašec, 2020, magistrsko delo

Ključne besede: explainability of neural networks, deep feedforward neural networks, rule extraction, decision rules, decompositional algorithm
Celotno besedilo (datoteka, 1,94 MB)

4. Deep Inference Optimization for Real-Time Edge Deployment on Microcontrollers
Angela Nikodinovska, 2024, magistrsko delo/naloga

Ključne besede: edge AI, image classification, neural networks, deep learning, microcontrollers
Celotno besedilo (datoteka, 7,53 MB)

5. Representing visual entities with deep hierarchical and compositional models
Domen Tabernik, 2021, doktorska disertacija

Ključne besede: compositional hierarchies, histogram of compositions, displaced aggregation units, deep neural networks, visual image recognition, semantic image segmentation, de-blurring
Celotno besedilo (datoteka, 10,00 MB)

6. Experimental attempts of using modulated and unmodulated waves in low-frequency acoustic wave flame extinguishing technology
Jacek Wilk-Jakubowski, Grzegorz Wilk-Jakubowski, Valentyna Loboichenko, 2024, izvirni znanstveni članek

Ključne besede: acoustic flame extinguishing, firefighting systems, deep neural networks, fire extinguisher, flame suppression
Celotno besedilo (datoteka, 867,84 KB) Gradivo ima več datotek! Več...

7. Lesion filling in magnetic resonance images based on generative adversarial networks
MOJCA BERTONCELJ, 2019, magistrsko delo/naloga

Ključne besede: lesion filling, magnetic resonance, image analysis, deep neural networks, generative adversarial networks
Celotno besedilo (datoteka, 10,25 MB)

8. Intracranial aneurysm detection and morphologic analysis based on three-dimensional angiographic images
Žiga Bizjak, 2019, magistrsko delo/naloga

Ključne besede: aneurysm detection, digital subtraction angiography, image analysis, deep neural networks, share registration, morphology change quantification
Celotno besedilo (datoteka, 9,04 MB)

9. An experimental evaluation of adversarial examples and methods of defense
Jaka Šircelj, 2019, magistrsko delo/naloga

Ključne besede: adversarial examples, neural networks, deep learning, image classification
Celotno besedilo (datoteka, 2,67 MB)

10. A design framework for prediction models based on the order book
Klemen Gantar, 2019, magistrsko delo

Ključne besede: machine learning, prediction model, deep learning, neural networks, limit order book, financial markets
Celotno besedilo (datoteka, 1,47 MB)
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