| 2024 | FedCSIS | Benchmarking OpenAI's APIs and Large Language Models for Repeatable, Efficient Question Answering Across Multiple Documents. | Elena Filipovska, Ana Mladenovska, Merxhan Bajrami, Jovana Dobreva, Vellislava Hillman, Petre Lameski, Eftim Zdravevski |
| 2023 | FedCSIS | Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data. | Dragana Nikolova, Petre Lameski, Ivan Miguel Pires, Eftim Zdravevski |
| 2023 | WorldCIST | Self-reporting Tool for Cardiovascular Patients. | Hanna Vitaliyivna Denysyuk, Joo Amado, Norberto Jorge Gonalves, Eftim Zdravevski, Nuno M. Garcia, Ivan Miguel Pires |
| 2022 | FedCSIS | Application of Diversified Ensemble Learning in Real-life Business Problems: The Case of Predicting Costs of Forwarding Contracts. | Milena Trajanoska, Pavel Gjorgovski, Eftim Zdravevski |
| 2022 | FNC | Facilitating privacy-preserving activity recognition in age-friendly environments through low-power devices. | Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik |
| 2022 | FNC | Named Entity Recognition and Knowledge Extraction from Pharmaceutical Texts using Transfer Learning. | Nasi Jofche, Kostadin Mishev, Riste Stojanov, Milos Jovanovik, Eftim Zdravevski, Dimitar Trajanov |
| 2021 | RANLP | Cultural Topic Modelling over Novel Wikipedia Corpora for South-Slavic Languages. | Filip Markoski, Elena Markoska, Nikola Ljubesic, Eftim Zdravevski, Ljupco Kocarev |
| 2020 | FedCSIS | Short-term air pollution forecasting based on environmental factors and deep learning models. | Mirche Arsov, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Nikola Koteli, Kosta Mitreski, Vladimir Trajkovik |
| 2020 | FedCSIS | Explorations into Deep Learning Text Architectures for Dense Image Captioning. | Martina Toshevska, Frosina Stojanovska, Eftim Zdravevski, Petre Lameski, Sonja Gievska |
| 2020 | FNC | Identification of Activities of Daily Living through Artificial Intelligence: an accelerometry-based approach. | Ivan Miguel Pires, Gonalo Marques, Nuno M. Garcia, Eftim Zdravevski |
| 2016 | FedCSIS | Automatic Feature Engineering for Prediction of Dangerous Seismic Activities in Coal Mines. | Eftim Zdravevski, Petre Lameski, Andrea Kulakov |
| 2016 | PDP | Row Key Designs of NoSQL Database Tables and Their Impact on Write Performance. | Eftim Zdravevski, Petre Lameski, Andrea Kulakov |
| 2015 | FedCSIS | Parallel computation of information gain using Hadoop and MapReduce. | Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Sonja Filiposka, Dimitar Trajanov, Boro Jakimovski |
| 2015 | FedCSIS | Transformation of nominal features into numeric in supervised multi-class problems based on the weight of evidence parameter. | Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Slobodan Kalajdziski |
| 2015 | FedCSIS | Robust histogram-based feature engineering of time series data. | Eftim Zdravevski, Petre Lameski, Riste Mingov, Andrea Kulakov, Dejan Gjorgjevikj |
| 2015 | TrustCom | Feature Ranking Based on Information Gain for Large Classification Problems with MapReduce. | Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Boro Jakimovski, Sonja Filiposka, Dimitar Trajanov |
| 2014 | FedCSIS | Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets. | Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Dejan Gjorgjevikj |
| 2011 | DCOSS | Architecture for Wireless Sensor and Actor Networks Control and Data Acquisition. | Petre Lameski, Eftim Zdravevski, Andrea Kulakov, Danco Davcev |
| 2011 | IJCNN | Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms. | Eftim Zdravevski, Petre Lameski, Andrea Kulakov |