Application of Diversified Ensemble Learning in Real-life Business Problems: The Case of Predicting Costs of Forwarding Contracts. - Milena Trajanoska; Pavel Gjorgovski; Eftim Zdravevski (FedCSIS, 2022)

Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction. - Milena Trajanoska; Risto Trajanov; Tome Eftimov (Expert Syst. Appl., 2022)

Assessing the Environmental Impact of Plant-Based Diets: A Comprehensive Analysis. - Blagica Golubova; Fjola Fetaji; Jovana Dobreva; Milena Trajanoska; Ana Todorovska; Riste Stojanov; Dimitar Trajanov (IEEE Big Data, 2023)

Methodology for food prices forecasting. - Dimitar Peshevski; Ana Todorovska; Filip Trajkovikj; Nikola Hristov; Milena Trajanoska; Jovana Dobreva; Riste Stojanov; Dimitar Trajanov (IEEE Big Data, 2023)

A comprehensive study of food prices and food fraud in the European Union. - Filip Trajkovikj; Ana Todorovska; Dimitar Peshevski; Lina Nakova; Milena Trajanoska; Jovana Dobreva; Riste Stojanov; Dimitar Trajanov (IEEE Big Data, 2023)

Explainable Machine Learning Unveils Novel Insights into Breast Cancer Metastases Sites Bio-Markers. - Milena Trajanoska; Viktorija Mijalcheva; Monika Simjanoska (ICT Innovations, 2023)

Identifying Drug - Disease Interactions Through Link Prediction in Heterogeneous Graphs. - Milena Trajanoska; Martina Toshevska; Sonja Gievska (ICT Innovations, 2023)

Enhancing Knowledge Graph Construction Using Large Language Models. - Milena Trajanoska; Riste Stojanov; Dimitar Trajanov (CoRR, 2023)

Ontology-Based Structuring and Analysis of North Macedonian Public Procurement Contracts. - Bojan Ristov; Stefan Eftimov; Milena Trajanoska; Dimitar Trajanov (CoRR, 2025)