| 2021 | ICCS | Ontology-Based Decision Support System for Dietary Recommendations for Type 2 Diabetes Mellitus. | Maria Nisheva-Pavlova, Iliyan Mihaylov, Stoian Hadzhiyski, Dimitar Vassilev |
| 2020 | ICCS | Using Machine Learning in Accuracy Assessment of Knowledge-Based Energy and Frequency Base Likelihood in Protein Structures. | Katerina Serafimova, Iliyan Mihaylov, Dimitar Vassilev, Irena Avdjieva, Piotr Zielenkiewicz, Szymon Kaczanowski |
| 2019 | ICCS | An Approach for Semantic Data Integration in Cancer Studies. | Iliyan Mihaylov, Maria Nisheva-Pavlova, Dimitar Vassilev |
| 2018 | AIMSA | Machine Learning-Driven Noise Separation in High Variation Genomics Sequencing Datasets. | Milko Krachunov, Maria Nisheva, Dimitar Vassilev |
| 2018 | AIMSA | Machine Learning Techniques for Survival Time Prediction in Breast Cancer. | Iliyan Mihaylov, Maria Nisheva, Dimitar Vassilev |
| 2017 | ICCS | Machine learning models in error and variant detection in high-variation high-throughput sequencing datasets. | Milko Krachunov, Maria Nisheva, Dimitar Vassilev |
| 2017 | ISMIS | Validity of Automated Inferences in Mapping of Anatomical Ontologies. | Milko Krachunov, Peter Petrov, Maria Nisheva, Dimitar Vassilev |
| 2015 | ICCS | Fuzzy indication of reliability in metagenomics NGS data analysis. | Milko Krachunov, Dimitar Vassilev, Maria Nisheva-Pavlova, Ognyan Kulev, Valeriya Simeonova, Vladimir Dimitrov |