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1. Augmentation of positive and unlabeled data using generative adversarial networks
Aleš Papič, 2025, doctoral dissertation

Keywords: machine learning, deep learning, generative adversarial networks, data augmentation, positive and unlabeled learning, binary classification
Full text (file, 21,70 MB)

2. Color palette generation with Conditional Generative Adversarial Networks
SERGEI BURYKIN, 2021, undergraduate thesis

Keywords: Artificial Intelligence, Deep Learning, Generative Adversarial Networks
Full text (file, 935,97 KB)

3. Lesion filling in magnetic resonance images based on generative adversarial networks
MOJCA BERTONCELJ, 2019, master's thesis/paper

Keywords: lesion filling, magnetic resonance, image analysis, deep neural networks, generative adversarial networks
Full text (file, 10,25 MB)

4. Improved Mammography Classification using Data Augmentation and Transfer Learning
ANA PETERKA, 2022, undergraduate thesis

Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Convolutional Neural Networks, Generative Adversarial Networks, Mammography, Cancer Detection.
Full text (file, 1,02 MB)

5. Generative adversarial model based augmentation of angiographic images for improved detection of intracranial aneurysms
DAVID KRIŽAJ, 2023, master's thesis/paper

Keywords: aneurysm detection, computer vision, convolutional neural networks, generative adversarial networks, dataset augmentation
Full text (file, 3,91 MB)

6. Conditional generative positive and unlabeled learning
Aleš Papič, Igor Kononenko, Zoran Bosnić, 2023, original scientific article

Keywords: positive and unlabeled learning, partially supervised learning, generative adversarial networks, deep learning
Full text (file, 2,35 MB) This document has more files! More...

7. Generating bimodal privacy-preserving data for face recognition
Darian Tomašević, Fadi Boutros, Naser Damer, Peter Peer, Vitomir Štruc, 2024, original scientific article

Keywords: image synthesis, face-based biometrics, privacy-preserving data, multispectral recognition, generative adversarial networks
Full text (file, 3,70 MB) This document has more files! More...

8. FICE
Martin Pernuš, Clinton Fookes, Vitomir Štruc, Simon Dobrišek, 2025, original scientific article

Keywords: text-conditioning, GAN inversion, image editing, generative artificial intelligence, generative adversarial networks, deep learning, multimodality
Full text (file, 4,18 MB) This document has more files! More...
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