• [PDF] Zoltan Geler, Miloš Savić, Brankica Bratić, Vladimir Kurbalija, Mirjana Ivanović, and Weihui Dai, Sentiment Prediction Based on Analysis of Customers Assessments in Food Serving Businesses, Connection Science, 2020, (doi)
• [PDF] Zoran Bosnić, Brankica Bratić, Mirjana Ivanović, Marija Semnic, Iztok Oder, Vladimir Kurbalija, Tijana Vujanić Stankov, and Vojislava Bugarski Ignjatović, Improving Alzheimer’s disease classification by performing data fusion with vascular dementia and stroke data, Journal of Experimental & Theoretical Artificial Intelligence, 2020, (doi)
• [PDF] Katarina Rojko, Brankica Bratić, Borut Lužar, The Bologna reform’s impacts on the scientific publication performance of Ph.D. graduates—the case of Slovenia, Scientometrics, 124(1), 2020, (doi)
• [PDF] Brankica Bratić, Vasileios Triglianos, Vladimir Kurbalija, Cesare Pautasso, Mirjana Ivanović, Role of interactive presentation platform ASQ in delivering web design course, Smart Learning Environments, 7(1), 2020, (doi)
• [PDF] Brankica Bratić, Michael E Houle, Vladimir Kurbalija, Vincent Oria, Miloš Radovanović, The Influence of Hubness on NN-Descent, International Journal on Artificial Intelligence Tools, 28(06), 2019, (doi)
• [PDF] Brankica Bratić, Vladimir Kurbalija, Mirjana Ivanović, Iztok Oder, Zoran Bosnić, Machine Learning for Predicting Cognitive Diseases: Methods, Data Sources and Risk Factors., Journal of medical systems, 42(12), 2018, (doi)

• [PDF] Brankica Bratić, Michael E. Houle, Vladimir Kurbalija, Vincent Oria, Miloš Radovanović, NNDescent on High-Dimensional Data, In Proceedings of the 8th International Conference on Web Intelligence,\newline Mining and Semantics, 2018, (doi) [best paper award]
• [PDF] Vladimir Kurbalija, Brankica Bratić, Time series reconstruction analysis, In Proceedings of the 8th IEEE International Conference on Intelligent Systems IS'16, 2016, (doi)

[PDF] Approximation algorithms for k-NN graph construction (Aproksimativni algoritmi za generisanje k-NN grafa), advisor: Vladimir Kurbalija

• 2020—2022 - ASCAPE: Artificial intelligence Supporting CAncer Patients across Europe (EU, Call Topic H2020-SC1-DTH-2018-2020 "Big data and Artificial Intelligence for monitoring health status and quality of life after the cancer treatment")
• 2018—2019 - Intelligent Techniques and their Integration into Wide-Spectrum Decision Support, 2018, Supported by Serbian Ministry of Education, Science and Technological Development, Project no. OI174023
• 2018—2019 - Advanced methods for complex network analysis with applications in decision support systems, 2018—2019, Bilateral Project, Supported by ministries of science of both countries (Serbia and Slovenia)
• 2018—2019 - Human-machine Harmony Emotional Intelligence Based on the Imitative Brain, 2018—2019, Bilateral Project, Supported by ministries of science of both countries (Serbia and China)
• 2015—2018 - Innovative teaching curricula, methods and infrastructures for computer science and software engineering, 2015—2018, Institutional partnerships (SCOPES), Project no. 160480
• 2016—2017 - Intelligent techniques for improving medical detection, analysis and explanation of human cognition and behavior disorders, 2016—2017, Bilateral Project, Supported by ministries of science of both countries (Serbia and Slovenia)

• Faculty of Information Studies, January 21 – February 15, 2019, Novo Mesto, Slovenia
• Faculty of Computer and Information Science, University of Ljubljana, May 15 – June 15, 2017, Ljubljana, Slovenia
• National Institute of Informatics, May 30 – July 29, 2016, Tokyo, Japan
• Winter School on Verification, TU Wien, 2012, Vienna, Austria
• Robot Wars Spring School, 2011, Kaunas, Lithuania

GitHub: github.com/brankicabratic