Dr Nikola Prodanović
Research associate
Doctor of Science
Scientific Research Center for Chemoinformatics and Computational Physics
Brief description of the research
The main area of research of Dr. Nikola Prodanović includes the development of transformer neural networks and their application in automatic text processing. Research includes deep learning, natural language analysis, as well as in silico material design with the application of modern computational methods.
Selected references
- Miloš Košprdić, Nikola Prodanović, Adela Ljajić, Bojana Bašaragin, Nikola Milošević, From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts, arXiv:2305.04928, 2023. Линк
- Adela Ljajić, Nikola Prodanović, Darija Medvecki, Bojana Bašaragin, Jelena Mitrović, Uncovering the Reasons Behind COVID-19 Vaccine Hesitancy in Serbia: Sentiment-Based Topic Modeling, Journal of Medical Internet Research, 2022.
- Prodanović, Nikola, Vukmirović, Nenad, Ikonić, Zoran, Harrison, Paul, Indjin, Dragan, Importance of Polaronic Effects for Charge Transport in CdSe Quantum Dot Solids, The Journal of Physical Chemistry Letters, 2014.