Gievska, Sonja
Full Name
Gievska, Sonja
Main Affiliation
Email
sonja.gievska@finki.ukim.mk
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Subject
- 2 Deep Learning, NLP, RNN, LSTM, GRU, Abusive Language Detection, Hate Speech, Cyberbullying
- 1 Hate speech spreaders detection, Ensemble learning, Feature vector representation, Twitter, English
- 1 object detection, instance segmentation, semantic segmentation, computer vision, fashion images
- 1 self-supervised learning; transfer learning; image colorization; convolutional neural network; generative adversarial network
- 1 Text Style Transfer, Deep Learning, Natural Language Processing, Natural Language Generation, Neural Networks
Type
Results 1-7 of 7 (Search time: 0.012 seconds).
| Preview | Title | Author(s) | Issue Date | Type | |
|---|---|---|---|---|---|
| 1 | Evaluation of Recurrent Neural Network architectures for abusive language detection in cyberbullying contexts | Gievska, Sonja ; Markoski, Filip; Zdravevski, Eftim ; Ljubešić, Nikola | 8-May-2020 | Proceeding article | |
| 2 | Evaluation of Recurrent Neural Network architectures for abusive language detection in cyberbullying contexts | Markoski, Filip; Zdravevski, Eftim ; Ljubešić, Nikola; Gievska, Sonja | 8-May-2020 | Proceeding article | |
| 3 | Exploration into Deep Learning Text Generation Architectures for Dense Image Captioning | Toshevska, Martina; Lameski, Petre ; Stojanovska, Frosina; Zdravevski, Eftim ; Gievska, Sonja | 6-Sep-2020 | Proceeding article | |
| 4 | GAN-Based Image Colorization for Self-Supervised Visual Feature Learning | Gievska, Sonja ; Treneska, Sandra; Zdravevski, Eftim ; Pires, Ivan Miguel; Lameski, Petre | 18-Feb-2022 | Article | |
| 5 | Multi-level stacked ensemble learning for identifying hate speech spreaders on Twitter | Gievska, Sonja ; Tosev, Darko | 2021 | Proceeding article | |
| 6 | Object detection and semantic segmentation of fashion images | Gievska, Sonja ; Treneska, Sandra | 8-May-2020 | Proceeding article | |
| 7 | A Review of Text Style Transfer using Deep Learning | Toshevska, Martina; Gievska, Sonja | 28-Sep-2021 | Proceeding article |