A Semi-Automated Approach for Anatomical Ontology Mapping. - Peter Petrov; Milko Krachunov; Dimitar Vassilev (J. Integr. Bioinform., 2013)

An approach to a metagenomic data processing workflow. - Milko Krachunov; Dimitar Vassilev (J. Comput. Sci., 2014)

Fuzzy indication of reliability in metagenomics NGS data analysis. - Milko Krachunov; Dimitar Vassilev; Maria Nisheva-Pavlova; Ognyan Kulev; Valeriya Simeonova; Vladimir Dimitrov 001 (ICCS, 2015)

Machine learning models in error and variant detection in high-variation high-throughput sequencing datasets. - Milko Krachunov; Maria Nisheva; Dimitar Vassilev (ICCS, 2017)

Validity of Automated Inferences in Mapping of Anatomical Ontologies. - Milko Krachunov; Peter Petrov; Maria Nisheva; Dimitar Vassilev (ISMIS, 2017)

Application of Machine Learning Models in Error and Variant Detection in High-Variation Genomics Datasets. - Milko Krachunov; Maria Nisheva; Dimitar Vassilev (Comput., 2017)

Machine Learning-Driven Noise Separation in High Variation Genomics Sequencing Datasets. - Milko Krachunov; Maria Nisheva; Dimitar Vassilev (AIMSA, 2018)

Machine Learning Models for Error Detection in Metagenomics and Polyploid Sequencing Data. - Milko Krachunov; Maria Nisheva; Dimitar Vassilev (Inf., 2019)