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ORCIDMilena Trajanoska
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2020 – today
- 2023
[c6]Blagica Golubova, Fjola Fetaji, Jovana Dobreva, Milena Trajanoska, Ana Todorovska, Riste Stojanov, Dimitar Trajanov:
Assessing the Environmental Impact of Plant-Based Diets: A Comprehensive Analysis. IEEE Big Data 2023: 4521-4529- [c5]Dimitar Peshevski, Ana Todorovska, Filip Trajkovikj, Nikola Hristov, Milena Trajanoska, Jovana Dobreva, Riste Stojanov, Dimitar Trajanov:
Methodology for food prices forecasting. IEEE Big Data 2023: 4539-4547 - [c4]Filip Trajkovikj, Ana Todorovska, Dimitar Peshevski, Lina Nakova, Milena Trajanoska, Jovana Dobreva, Riste Stojanov, Dimitar Trajanov:
A comprehensive study of food prices and food fraud in the European Union. IEEE Big Data 2023: 4557-4566 - [c3]Milena Trajanoska, Viktorija Mijalcheva, Monika Simjanoska:
Explainable Machine Learning Unveils Novel Insights into Breast Cancer Metastases Sites Bio-Markers. ICT Innovations 2023: 31-45 - [c2]Milena Trajanoska, Martina Toshevska, Sonja Gievska:
Identifying Drug - Disease Interactions Through Link Prediction in Heterogeneous Graphs. ICT Innovations 2023: 191-205 - [i1]Milena Trajanoska
, Riste Stojanov, Dimitar Trajanov:
Enhancing Knowledge Graph Construction Using Large Language Models. CoRR abs/2305.04676 (2023) - 2022
- [j1]Milena Trajanoska, Risto Trajanov, Tome Eftimov:
Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction. Expert Syst. Appl. 209: 118377 (2022) - [c1]Milena Trajanoska, Pavel Gjorgovski, Eftim Zdravevski:
Application of Diversified Ensemble Learning in Real-life Business Problems: The Case of Predicting Costs of Forwarding Contracts. FedCSIS 2022: 437-446
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