| 2026 | WorldCIST | Temporal Heterogeneous Graph Neural Networks for Incident Assignee Recommendation. | Kristina Arnaoudova, Maria Nisheva-Pavlova |
| 2024 | AIMSA | An Approach to Discovering, Tracking Over Time, and Summarizing Publicly Available Information on a Given Topic. | Alexandrina Karakehayova, Maria Nisheva-Pavlova |
| 2024 | AIMSA | Clinical and Acquisition Data for Optimizing MGMT Methylation Status Prediction: A Comprehensive Ensemble Strategy Emphasizing Non-invasive Approaches. | Mariya Miteva, Maria Nisheva-Pavlova |
| 2021 | ICCS | Ontology-Based Decision Support System for Dietary Recommendations for Type 2 Diabetes Mellitus. | Maria Nisheva-Pavlova, Iliyan Mihaylov, Stoian Hadzhiyski, Dimitar Vassilev |
| 2019 | ICCS | An Approach for Semantic Data Integration in Cancer Studies. | Iliyan Mihaylov, Maria Nisheva-Pavlova, Dimitar Vassilev |
| 2016 | FedCSIS | Big Data Techniques, Systems, Applications, and Platforms: Case Studies from Academia. | Atanas Radenski, Todor V. Gurov, Kalinka Kaloyanova, Nikolay Kirov, Maria Nisheva-Pavlova, Peter Stanchev, Eugenia Stoimenova |
| 2015 | ICCS | Fuzzy indication of reliability in metagenomics NGS data analysis. | Milko Krachunov, Dimitar Vassilev, Maria Nisheva-Pavlova, Ognyan Kulev, Valeriya Simeonova, Vladimir Dimitrov |
| 2008 | FlAIRS | Alignment of Heterogeneous Ontologies: A Practical Approach to Testing for Similarities and Discrepancies. | Neli P. Zlatareva, Maria Nisheva-Pavlova |