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2020 – today
- 2024
[c9]Dimitar Georgiev, Martina Toshevska, Sonja Gievska:
Identification of HIV Inhibitors Using Graph Neural Networks. MIPRO 2024: 175-180- 2023
- [c8]Milena Trajanoska, Martina Toshevska, Sonja Gievska:
Identifying Drug - Disease Interactions Through Link Prediction in Heterogeneous Graphs. ICT Innovations 2023: 191-205 - [c7]Martina Toshevska, Slobodan Kalajdziski, Sonja Gievska:
Graph Neural Networks for Antisocial Behavior Detection on Twitter. ICT Innovations 2023: 222-236 - [c6]Aleksandar Kitanovski, Martina Toshevska, Georgina Mirceva:
DistilBERT and RoBERTa Models for Identification of Fake News. MIPRO 2023: 1102-1106 - [i4]Martina Toshevska, Slobodan Kalajdziski, Sonja Gievska:
Graph Neural Networks for Antisocial Behavior Detection on Twitter. CoRR abs/2312.16755 (2023) - 2022
- [j1]Martina Toshevska
, Sonja Gievska:
A Review of Text Style Transfer Using Deep Learning. IEEE Trans. Artif. Intell. 3(5): 669-684 (2022) - [c5]Ivan Krstev, Milan Pavikjevikj, Martina Toshevska, Sonja Gievska:
Multimodal Data Fusion for Automatic Detection of Alzheimer's Disease. HCI (19) 2022: 79-94 - 2021
- [i3]Martina Toshevska, Sonja Gievska:
A Review of Text Style Transfer using Deep Learning. CoRR abs/2109.15144 (2021) - 2020
- [c4]Martina Toshevska, Frosina Stojanovska, Eftim Zdravevski, Petre Lameski, Sonja Gievska:
Explorations into Deep Learning Text Architectures for Dense Image Captioning. FedCSIS 2020: 129-136 - [i2]Martina Toshevska, Frosina Stojanovska, Jovan Kalajdjieski:
Comparative Analysis of Word Embeddings for Capturing Word Similarities. CoRR abs/2005.03812 (2020) - [i1]Jovan Kalajdjieski, Martina Toshevska, Frosina Stojanovska:
Recent Advances in SQL Query Generation: A Survey. CoRR abs/2005.07667 (2020)
2010 – 2019
- 2019
- [c3]Martina Toshevska, Slobodan Kalajdziski:
Exploring the Attention Mechanism in Deep Models: A Case Study on Sentiment Analysis. ICT Innovations 2019: 202-211 - 2018
- [c2]Frosina Stojanovska, Martina Toshevska, Vesna Kirandziska, Nevena Ackovska:
Emotion-Aware Teaching Robot: Learning to Adjust to User's Emotional State. ICT Innovations 2018: 59-74 - [c1]Frosina Stojanovska, Martina Toshevska, Sonja Gievska:
Explorations into Deep Neural Models for Emotion Recognition. ICT Innovations 2018: 217-232
Coauthor Index
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last updated on 2024-07-23 21:55 CEST by the dblp team
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