Статия в научно списание |
1
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Iliyan Mihaylov, Maciej Kańduła, Milko Krachunov, Dimitar Vassilev, A novel framework for horizontal and vertical data integration in cancer studies with application to survival time prediction models, Biology Direct, vol:14, 2019, ISSN (print):1745-6150, doi:https://doi.org/10.1186/s13062-019-0249-6, Ref, IR , SCOPUS, SJR (1.388 - 2018), International, PhD
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2019
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2
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Milko Krachunov, Maria Nisheva, Dimitar Vassilev, Machine Learning Models for Error Detection in Metagenomics and Polyploid Sequencing Data, Information, vol:10, issue:3, 2019, pages:1-16, ISSN (online):2078-2489 , doi:10.3390/info10030110, Ref, IR , SCOPUS, SJR (0.222 - 2018), SCOPUS Quartile: Q3 (Scopus), PhD
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2019
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3
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Milko Krachunov, Milena Sokolova, Valeria Simeonova, Maria Nisheva, Irena Avdjieva, Dimitar Vasilev, Quality of different machine learning models in error discovery for parallel genome sequencing, Comptes rendus de l’Academie bulgare des Sciences, vol:71, issue:7, 2018, pages:922-929, ISSN (online):2367–5535 , Ref, Web of Science, IF (321 - 2018), Web of Science Quartile: Q4 (WoS), SCOPUS, SJR (0.205 - 2018), SCOPUS Quartile: Q2 (Scopus), PhD
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2018
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4
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M. Krachunov, M. Nisheva, D. Vassilev, Application of Machine Learning Models in Error and Variant Detection in High-Variation Genomics Datasets, Computers, vol:6, issue:4, 2017, pages:1-15, ISSN (online):2073-431X, doi:10.3390/computers6040029, Ref, PhD
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2017
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5
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M. Krachunov, M. Nisheva, D. Vassilev, Machine Learning Models in Error and Variant Detection in High-variation High-throughput Sequencing Datasets, Procedia Computer Science, vol:108, 2017, pages:1145-1154, ISSN (online):1877-0509, Ref, IR , SCOPUS, SJR (0.267 - 2016), PhD
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2017
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6
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M. Krachunov, P. Petrov, M. Nisheva, D. Vassilev, Validity of Automated Inferences in Mapping of Anatomical Ontologies, Lecture Notes in Artificial Intelligence , vol:10352, 2017, pages:251-260, ISSN (print):0302-9743, Ref, IR , SCOPUS, SJR (0.315 - 2016), SCOPUS Quartile: Q3 (Scopus), PhD
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2017
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7
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K. Kirov, M. Krachunov, O. Kulev, M. Nisheva, D. Vassilev, Improving SNP Diffrentiation in Bread Wheat: A Computational Approach, Comptes rendus de l'Académie bulgare des Sciences, vol:69, issue:2, 2016, pages:155-160, ISSN (online):2367–5535 , Ref, IF, IF (0.251 - 2016), SCOPUS Quartile: Q4 (2016), PhD
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2016
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8
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K. Kirov, M. Krachunov, O. Kulev, M. Nisheva, G. Minkov, D. Vassilev, Reducing False Negatives for Errors in SNP Detection Using a Machine Learning Approach, Comptes rendus de l'Académie bulgare des Sciences, vol:69, issue:7, 2016, pages:885-890, ISSN (online):2367–5535 , Ref, IF, IF (0.251 - 2016), Web of Science Quartile: Q4 (WoS), SCOPUS Quartile: Q4 (2016), PhD
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2016
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9
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M. Krachunov, D. Vassilev, M. Nisheva, O. Kulev, V. Simeonova, V. Dimitrov, Fuzzy Indication of Reliability in Metagenomics NGS Data Analysis, Procedia Computer Science, vol:51, 2015, pages:2859-2863, ISSN (online):1877-0509, Ref, IR , SCOPUS, SJR (0.281 - 2015), PhD
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2015
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10
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Milko Krachunov, Ognyan Kulev, Maria Nisheva, Valeriya Simeonova, Vladimir Dimitrov, Dimitar Vassilev, MACHINE LEARNING IN DE NOVO METAGENOMICS ERROR DISCOVERY, Proceeding of the Bulgarian Academy of Sciences, vol:68, issue:4, 2015, pages:479-485, Ref, Web of Science, PhD
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2015
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11
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M. Krachunov, O. Kulev, M. Nisheva, V. Simeonova, V. Dimitrov, D. Vassilev, Machine Learning in de novo Metagenomics Error Discovery, Comptes rendus de l'Académie bulgare des Sciences, vol:68, issue:4, 2015, pages:479-484, ISSN (online):2367–5535 , Ref, IF, IF (0.251 - 2015), Web of Science Quartile: Q4 (WoS), SCOPUS, SJR ( - 2015), SCOPUS Quartile: Q3 (Scopus), PhD
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2015
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12
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M. Krachunov, O. Kulev, M. Nisheva, V. Simeonova, D. Peychev, D. Vassilev, Using Neural Networks to Filter Predicted Errors in NGS Data, EMBnet.journal, vol:21, 2015, PhD
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2015
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13
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Milko Krachunov, Ognyan Kulev, Valeriya Simeonova, Maria Nisheva, Dimitar Vassilev, Manageable Workflows for Processing Parallel Sequencing Data, Serdica Journal of Computing, vol:8, issue:1, 2014, pages:1-14, ISSN (print):1312-6555, ISSN (online):1314-7897, Ref, PhD
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2014
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14
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P. Petrov, M. Krachounov, O. Kulev, M. Nisheva, D. Vassilev, Predicting and Scoring Links in Anatomical Ontology Mapping, BIOMATH, vol:1, issue:2, 2012, ISSN (online):1314-7218, PhD
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2012
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Статия в поредица |
1
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M. Krachunov, M. Nisheva, D. Vassilev, Machine Learning-driven Noise Separation in High Variation Genomics Sequencing Datasets, Lecture Notes in Artificial Intelligence, vol:Artificial Intelligence: Methodology, Systems, and Applications 2018, issue:11089, editor/s:G. Agre, J. Genabith, T. Declerk , Publisher:Springer, 2018, pages:173-185, ISSN (print):0302-9743, Ref, IR , SCOPUS, SJR (0.283 - 2018), SCOPUS Quartile: Q2 (Scopus), PhD
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2018
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2
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Milko Krachunov, Ognyan Kulev, Maria M Nisheva-Pavlova, Valeria Simeonova, Deyan Peychev, Dimitar Vassilev, Using neural networks to filter predicted errors in NGS data, EMBnet.journal, vol:21, issue:A, 2015, ISSN (online):2226-6089, doi:10.14806/ej.21.A.827, PhD
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2015
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Статия в сборник (на конференция и др.) |
1
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Milko Krachunov, Dimitar Vassilev, Maria Nisheva, Ognyan Kulev, Valeriya Simeonova, Vladimir Dimitrov, Fuzzy Indication of Reliability in Metagenomics NGS Data Analysis, Procedia Computer Science, Publisher:Elsevier Science Publishers B.V., 2015, pages:2859-2863, doi:10.1016/j.procs.2015.05.448, Ref, PhD
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2015
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2
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V. Dimitrov, M. Krachunov, D. Vasilev, The Data Processing Challenge of a Metagenomics Study, Proc. of VI International Scientific Conference, Problems of Differential Equations, Analysis and Algebra , editor/s:Кенжебаев, Сартабанов, Тасмамбетов, Бержанов, Толепбергенов, 2015, pages:324-328, ISBN:9789965631252, PhD
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2015
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3
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P. Petrov, N. Natchev, D. Vassilev, M. Krachounov, M. Nisheva, O. Kulev, AnatOM – An Intelligent Software Program for Semi-automatic Mapping and Merging of Anatomy Ontologies, Information Systems & Grid Technologies: Proceedings of the Sixth International Conference ISGT’2012 (Sofia, Bulgaria, June 1-3, 2012), editor/s:V. Dimitrov, Publisher:St. Kliment Ohridski University Press, 2012, pages:173-187, ISSN (print):1314-4855, PhD
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2012
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Студия в научно списание |
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Irena Avdjieva, Ivan Terziyski, Gergana Zahmanova, Valeria Simeonova, Ognyan Kulev, Evgeniy Krastev, Milko Krachunov, Maria Nisheva, Dimitar Vassilev, Homology Based Computational Modelling of Hepatitis-E Viral Fusion Capsid Protein, Comptes rendus de l’Academie bulgare des Sciences, vol:72, issue:3, 2019, pages:358-364, ISSN (print):1310–1331, ISSN (online):2367–5535 , doi:10.7546/crabs.2019.03.10, Ref, Web of Science, IF (0.321 - 2018), Web of Science Quartile: Q4 (Multidisciplinary), SCOPUS, SJR (0.205 - 2018), SCOPUS Quartile: Q2 (Multidisciplinary), др.(Semantic Scholar), PhD, MSc
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2019
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Студия в сборник (на конференция и др.) |
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D. Vassilev, V. Simeonova, M. Krachunov, E. Todorovska, M. Nisheva, O. Kulev, D. Peychev, P. Petrov, D. Shiyachki, I. Avdjieva, Data Analysis for Next Generation Sequencing – Parallel Computing Approaches in de Novo Assembly Algorithms, Information Systems & Grid Technologies: Proceedings of the Sixth International Conference ISGT’2012 (Sofia, Bulgaria, June 1-3, 2012), editor/s:V. Dimitrov, Publisher:St. Kliment Ohridski University Press, 2012, pages:249-279, ISSN (print):1314-4855, PhD
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2012
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