| 2026 | HCI | Usability Assessment of Low-Cost Sensor Kits for Educational Air Quality Sensing. | Victoria Batz, Pance Cavkovski, Jens-Martin Loebel, Petre Lameski, Vladimir Trajkovik, Christian Hansen, Michael A. Herzog |
| 2025 | HCI | Enhancing Public Awareness of Air Quality: Evaluating Communication Strategies and Design Prototypes Using a Design-Based Implementation Research Approach. | Victoria Batz, Vanessa B. Liedtke, Petre Lameski, Vladimir Trajkovik, Steffi Hulein, Christian Hansen, Michael A. Herzog |
| 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 |
| 2022 | FNC | Facilitating privacy-preserving activity recognition in age-friendly environments through low-power devices. | Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik |
| 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 |
| 2017 | HCI | Knowledge-Based Approach to Modeling Urban Dynamics. | Sonja Gievska, Petre Lameski |
| 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 |