| Научен проект |
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1
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Димитър Василев, Модели за семантично интегриране а био-медицински данни, Ръководител, ФНИ СУ, Номер на договора:80-10-2017 от 20.04.2018
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2018
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2
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Димитър Иванов Василев, Функционални и биоинформатични анализи за GRAS транскрипционни фактори свързани с биотичен/абиотичен толерантност към стрес при Medicago truncatula и Medicago sativa, Член,
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2017
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3
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Димитър Василев, Модел за облачна интеграция на платформа с хибриден масивен паралелизъм и приложението й за анализ и автоматизирано семантично обогатяване на големи колекции от хетерогенни данни, Член, МОН - ФОНД "Научни излседвания", Номер на договора:GloBIG
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2016
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| Научно ръководство |
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1
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Димитър Василев, Интелигентни информационни системи в биоинформатиката: семантично интегриране, анализ и класификация на био-медицински данни, ФМИ СУ дисертация д-р:Илиян Недков Михайлов
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2021
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2
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Димитър Василев, An ontology-based decision support system for dietary recommendations for diabetes mellitus, дипломна работа:Стоян Хаджийски
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2020
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3
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Димитър Василев, Система за компресиране на секвенционни данни в биоинформатиката, дипломна работа:Боряна Пулова-Михайлова
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2020
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4
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Димитър Василев, A computational approach comparing knowledge-based entropy and knowledge-based energy as measures of sequence-structure fit., дипломна работа:Катерина Серафимова
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2019
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5
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Димитър Иванов Василев, Търсене и откриване на протеинови отпечатъци - модели и софтуерна реализация, дипломна работа:Моника Бойкова Димитрова
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2018
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| Статия в научно списание |
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1
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Maya Zhelyazkova, Roumyana Yordanova, Iliyan Mihailov, Stefan Tsonev, Dimitar Vassilev, In silico discovering relationship between bacteriophages and antimicrobial resistance, Biotechnology and Biotechnological Equipment, vol:37, issue:1, 2023, pages:14-23, ISSN (online):1310-2818, doi:10.1080/13102818.2022.2151378, Ref, IF, IF (1.762 - 2021), Web of Science Quartile: Q4 (2023)
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2023
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2
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Danko D., Bezdan D., Afshin E., Ahsanuddin S., Bhattacharya C., Butler D., Chng K., Donnellan D., Vassilev D., Mason C., A Global Metagenomic Map of Urban Microbiomes and Antimicrobial Resistance, Cell, vol:184, issue:13, 2021, pages:3376-3393, ISSN (print):0092-8674, doi:10.1016/j.cell.2021.05.002, Ref, Web of Science, IF (38.637 - 2019), Web of Science Quartile: Q1 (2021), SCOPUS, SJR (26.3 - 2020), SCOPUS Quartile: Q1 (2021), International
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2021
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3
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I. Avdjieva, I. Terziyski, G. Zahmanova, A. Dragieva, M. Nisheva, D. Vassilev, Enhancing viral immunogenicity – fusion protein design with computational homology-based structure prediction, Comptes rendus de l'Académie bulgare des Sciences, vol:74, issue:7, 2021, pages:1003-1011, ISSN (print):1310–1331, ISSN (online):2367–5535, Ref, Web of Science, IF (0.326 - 2021), Web of Science Quartile: Q4 (2021), SCOPUS, SJR (0.19 - 2021), SCOPUS Quartile: Q3 (2021)
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2021
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4
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Irena Avdjieva, Ivan Terziyski, Gergana Zahmanova, Anelia Dragieva, Maria Nisheva, Dimitar Vassilev, FUSION PROTEIN DESIGN WITH COMPUTATIONAL HOMOLOGY-BASED STRUCTURE PREDICTION, Comptes Rendus de L'Academie Bulgare des Sciences, vol:74, issue:7, 2021, pages:1003-1011, Ref, Web of Science Quartile: Q4 (2021), SCOPUS Quartile: Q3 (2021)
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2021
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5
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Maya Zhelyazkova, Royamana Yordanova, Iliyan Mihailov, Stefan Kirov, Stefan Tsonev, David Danko, Christopher Mason, Dimitar Vassilev, Origin sample prediction and spatial modeling of antimicrobial resistance in metagenomic sequencing data, Frontiers in genetics, vol:12, 2021, ISSN (print):1664-8021, doi:doi:10.3389/fgene.2021.642991, Ref, Web of Science, IF (4.772 - 2021), Web of Science Quartile: Q1 (2021), SCOPUS, SJR (1.41 - 2021), SCOPUS Quartile: Q1 (https://www.scimagojr.com/journalsearch.php?q=2110), International, PhD
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2021
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6
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K. Chng, C. Li, D. Bertrand, A. Ng, J. Kwah, H. Meng, D. Danko, C. Mason, D. Vassilev, N. Nagarjan, Cartography of opportunistic pathogens and antibiotic resistance genes in a tertiary hospital environment, Nature Medicine, vol:26, issue:6, 2020, doi:https://doi.org/10.1038/s41591-020-0894-4, Ref, Web of Science, IF (3613 - 2019), Web of Science Quartile: Q1 (2020), SCOPUS, SJR (1582 - 2019), SCOPUS Quartile: Q1 (2020), International
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2020
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7
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David Danko, Ebrahim Afshinnekoo, Daniela Bezdan, Sofia Ahsanuddin, Chandrima Bhattacharya, Daniel J Butler, Kern Rei Chng, Scott W Tighe, Dimitar Vassilev, Christopher Mason, Global Genetic Cartography of Urban Metagenomes and Anti-Microbial Resistance, bioRxiv, 2020, pages:724526-0, doi:10.1101/724526, Ref, International
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2020
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8
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Maria Nisheva, Stoyan Hadzhiyski, Iliyan Mihaylov, Irena Avdjieva, Dimitar Vassilev, Linking data for ontology based advising in healthcare, IEEE Xplore, 2020, Ref, Web of Science, PhD
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2020
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9
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Katerina Serafimova, Iliyan Mihaylov, Dimitar Vassilev, Irena Avdjieva, Piotr Zielenkiewicz, Szymon Kaczanowski, Using Machine Learning in Accuracy Assessment of Knowledge-Based Energy and Frequency Base Likelihood in Protein Structures, Lecture Notes in Computer Science, vol:12139, 2020, pages:572-584, ISSN (online):978-3-030-50420-5, doi:https://doi.org/10.1007/978-3-030-50420-5_43, Ref, Web of Science, International
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2020
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10
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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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11
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Iliyan Mihaylov, Maria Nisheva, Dimitar Vassilev, An Approach for Semantic Data Integration in Cancer Studies, Lecture Notes in Computer Science, vol:11538, 2019, pages:173-185, ISSN (print):0302-9743, Ref, IR , SCOPUS, SJR (0.283 - 2018), PhD
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2019
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12
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Iliyan Mihaylov, Maria Nisheva, Dimitar Vassilev, Application of Machine Learning Models for Survival Prognosis in Breast Cancer Studies, Information, vol:10, issue:3, 2019, pages:1-13, ISSN (online):2078-2489, doi:10.3390/info10030093, Ref, IR , SCOPUS, SJR (0.222 - 2018), SCOPUS Quartile: Q2 (2019)
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2019
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13
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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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14
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Avdjieva I., Krachunov M., Vassilev D., In silico prediction of C4 related genes by finding duplications causing pattern deviation and analysis of phylogenetic trees , Serdica Journal of Computing, vol:12, issue:3, 2018, pages:163-174, ISSN (online):1314-7897
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2018
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15
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Dimitrova M., Vassilev D., Object-oriented analysis for design of protein fingerprints, Serdica Journal of Computing, vol:12, issue:3, 2018, pages:175190-0, ISSN (online):1314-7897, MSc
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2018
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16
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Krachunov M., Sokolova M., Simeonova V., Nisheva M., Avdjieva I., Vassilev D., Quality of different machine learning models for error discovery for parallel genome sequencing., Comptes Rendus de l'Academie Bulgare de Scinces, vol:71, issue:7, 2018, pages:922-929, doi:10.7546/crabs.2018.07.08, Ref, IF (0.321 - 2018), SCOPUS, SJR (0.205 - 2018), SCOPUS Quartile: Q2 (2018), MSc
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2018
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17
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Krachunov M., Nisheva M., Vassilev D., Application of machine learning models in error and variant detection in high-throughtput genomic datasets, Computers, vol:6, 2017, doi:doi:10.3390/computers6040029, Ref, SCOPUS, SJR (0.319 - 207), PhD
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2017
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18
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Zoric M., Terzic S., Sikora V., Brdar-Jokanovic M., Vassilev D., Effect of environmental variables on performance of Jerusalem artichoke (Helianthus tuberosus L.) cultivars in a long term trial: a statistical approach , Euphytica, vol:213, 2017, pages:23-30, doi:DOI 10.1007/s10681-016-1819-7, Ref, Web of Science, International
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2017
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19
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Krachunov M., Nisheva M., Vassilev D., Machine Learning Models in Error and Variant Detection in High-throughput Sequencing datasets, Procedia Computer Science, vol:108, 2017, pages:1145-1154, Ref, IR , SCOPUS, SJR (0.267 - 2016), PhD
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2017
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20
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Dodig D., Rancic D., Vucelic-Radovic B., Zoric M., Savic J., Kandic V., Percinar I., Stanojevic S., Sesilja A., Vassilev D., Responses of wheat plants under post-anthesis stress induced by defoliation: II. Contribution of peduncle morpho-anatomical traits and carbon reserve to grain yield, Journal of Agricultural Science (Cambridge University Press)., vol:155, issue:3, 2017, pages:475-493, doi:DOI: https://doi.org/10.1017/S0021859616000551, Ref, Web of Science, International
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2017
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21
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Krachunov M., Petrov P., Nisheva M., Vassilev D., Validity of Automated Inferences in Mapping of Anatomical Ontologies, Lecture Notes in Artificial Intelligence, vol:10352, 2017, pages:251-260, Ref, IR , SCOPUS, SJR (0.315 - 2016), PhD
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2017
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22
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Avdjieva I., Slase J., Peychev D., Hadzimateva D., Vassilev D., Function annotation enrichment assisting function prediction of plant genes., Journal of Bioscience and Biotechnology, vol:SPECIAL EDTION/ONLINE: , 2016, pages:39-42, International, MSc
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2016
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23
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Kirov K., Krachunov M., Kulev O., Nisheva M., Vassilev D., Improving SNP differentiation in bread wheat: a computational approach, Comptes Rendus de l'Academie Bulgare de Sciences, vol:69, issue:2, 2016, pages:155-160, Ref, Web of Science, PhD, MSc
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2016
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24
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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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25
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Hadzimateva D., Avdjieva I., Todorovska E., Vassilev D., A comparative phylogenetic analysis of hexaploid wheat evolution., Journal of Bioscience and Biotechnology, vol:SPECIAL EDITION/ONLINE, 2015, pages:31-37, PhD, MSc
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2015
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26
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Spujt O., Bongcam-Rudloff E., Guimera R.V., Kallio A., Korpelinen E., Kandula M., Krachunov M., Kreil D., Kulev O., Vassilev D., Experiences with workflows for automating data-intensive bioinformatics, Biology Direct, vol:10, 2015, pages:43-51, doi:doi:10.1186/s13062-015-0071-8, Ref, Web of Science, International, PhD
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2015
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27
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Krachunov M., Vassilev D., Nisheva M., Kulev O., Simeonova V., Dimitrov V., Fuzzy indication of relaibility in metagenomics NGS data analysis, Journal IT Professional IEEE Life Sciences Computing. ICSS 2015, Procedia Computer Science , vol:51, 2015, pages:2859-2863, Ref, MSc
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2015
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28
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Krachunov M., Kulev O., Nisheva M., Simeonova V., Dimitrov V., Vassilev D., Machine learning in de novo metagenomics error discovery, Comptes Rendus de l'Academie Bulgare de Sciences, vol:68, issue:4, 2015, pages:479-484, Ref, Web of Science, PhD
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2015
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29
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Krachunov M., Kulev O., Nisheva M., Simeonova V., Peychev D., Vassilev D., Using neural Networks to Filter Predicted Errors in NGS Data, EMBnet.journal, vol:21, 2015, Ref, PhD
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2015
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30
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Krachunov M., Vassilev D., An approach to a metagenomic data processing workflow, Journal of Computational Science , vol:5, issue:3, 2014, pages:357-362, doi:DOI: 10.1016/ j.jocs.2013.08.003., Ref, Web of Science, PhD
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2014
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31
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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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32
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Galina Radeva, Anelia Kenarova, Velina Bachvarova, Katrin Flemming, Ivan Popov, Dimitar Vassilev, Sonja Selenska-Pobell, Phylogenetic diversity of Archaea and archaeal ammonia monooxygenase gene in uranium mining impacted locations in Bulgaria, Archaea, 2014, ISSN (print):1472-3646, ISSN (online):1472-3654, doi:10.1155/2014/196140, Ref, IR , SCOPUS, SJR (1.23 - 2014), SCOPUS Quartile: Q1 (2014)
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2014
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33
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D. Lazarova, D. Stanoeva, A. Popova, D. Vassilev, M. Velitchkova, UV-B induced alteration of oxygen evolving reactions in pea thylakoid membranes as affected by scavengers of reactive oxygen species, Biologia Plantarum, vol:58, issue:2, 2014, pages:319-327, ISSN (print):00063134, ISSN (online):1573-8264, doi:10.1007/s10535-014-0402-0, Ref, Web of Science, IF (1.849 - 2014), Web of Science Quartile: Q2 (2014), SCOPUS, SJR (0.688 - 2014), SCOPUS Quartile: Q1 (2014)
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2014
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34
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Petrov P., Krachunov M., Vassilev D., A Semi-Automated Approach for Anatomical Ontology Mapping, Journal of Integrative Bioinformatics, vol:10, issue:2, 2013, pages:221-232, Ref, PhD
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2013
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35
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B. Assenov, V. Andjelkovic, D. Ignjatovic-Micic, J. Vancetovic, A. Nikolic, N. K. Christov, S. Tsonev, N. Abu-Mhadi, D. Vassilev, Y. Muhovski, Identification of SNP mutations in MYBЕ-1 gene involved in drought stress tolerance in maize, Bulgarian Journal of Agricultural Science, 2013, Ref, IR , SCOPUS, SJR (0.223 - 2016), в сътрудничество с чуждестранни учени
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2013
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36
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Petrov P., Krachunov M., van Ophuizen E.A.A., Vassilev D., An algorithmic approach to inferring cross-ontology links while mapping anatomical ontologies, Serdica Journal of Computing, vol:6, issue:3, 2012, pages:309-332, International, PhD
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2012
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37
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Petrov P., Krachunov M., Todorovska E., Vassilev D., An intelligent system approach for integrating anatomical ontologies, Biotechnology and Biotechnological Equipment, vol:26, issue:4, 2012, pages:3173-3181, Ref, Web of Science, PhD
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2012
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38
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Valeriya Simeonova, Ivan Popov, Dimitar Vassilev, Estimation of Sequencing Error Rates Present in
Genome Databases, Biotechnology & Biotechnological Equipment, vol:26, issue:5, 2012, pages:3302-3305, doi:10.5504/BBEQ.2012.0070, Ref, Web of Science, PhD
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2012
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39
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Petrov P., Krachunov M., Kulev O., Nisheva M., Vassilev D., Predicting and scoring links in anatomical ontology mapping, International Journal on Mathematical Methods and Models in Biosciences BIOMATH, vol:2, issue:1, 2012, PhD
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2012
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40
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Stefan Ivanov, Ivan Minchev, Dimitar Vassilev, The optimal constant in the L2 Folland-Stein inequality on the quaternionic Heisenberg group , ANNALI DELLA SCUOLA NORMALE SUPERIORE DI PISA-CLASSE DI SCIENZE , vol:11, issue:4, 2012, pages:635-652, ISSN (print):0391-173X, Ref, IF, IF (683 - 2012), Web of Science Quartile: Q2 (2012), International
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2012
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41
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Stojanovski, S., Dimov, S. G., Ivanova, I., Vassilev, D., ASSESSMENT OF CELL DENSITY AND ACIDIFYING PROPERTIES VARIATION OF FORTY-TWO LACTOBACILLUS STRAINS ISOLATED FROM "LUKANKA" SAUSAGE, BIOTECHNOLOGY & BIOTECHNOLOGICAL EQUIPMENT, vol:24, issue:2, 2010, pages:708-711, ISSN (print):1310-2818, ISSN (online):1314-3530
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2010
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42
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Grekova-Vasileva, M., I. Popov, D. Vassilev, Y. Topalova, Isolation and characterisation of microbial strain AZO29 capable of azo dye decolourization, Biotechnology and Biotechnological Equipment, том:23, брой:2SE, 2009, стр.:318-322, Ref, PhD
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2009
|
| Статия в поредица |
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1
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M. Nisheva-Pavlova, S. Hadzhiyski, I. Mihaylov, D. Vassilev, Implementation of an Ontology-Based Decision Support System for Dietary Recommendations for Diabetes Mellitus, CEUR Workshop Preceedings, issue:2933, editor/s:Vladimir Dimitrov, Vasil Georgiev, 2021, pages:144-154, ISSN (online):1613-0073, Ref, IR , SCOPUS, SJR (0.23 - 2021), PhD
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2021
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2
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M. Nisheva-Pavlova, I. Mihaylov, S. Hadzhiyski, D. Vassilev, Ontology-Based Decision Support System for Dietary Recommendations for Type 2 Diabetes Mellitus, Lecture Notes in Computer Science, vol:Computational Science – ICCS 2021, issue:12744, editor/s:M. Paszynski et al. , Publisher:Springer, 2021, pages:735-741, ISSN (online):0302-9743, ISBN:978-3-030-77967-2, doi:https://doi.org/10.1007/978-3-030-77967-2_61, Ref, IR , SCOPUS, SJR (0.41 - 2021), SCOPUS Quartile: Q2 (2021)
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2021
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3
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K. Serafimova, I. Mihaylov, D. Vassilev, I. Avdjieva, P. Zielenkiewicz, S. Kaczanowski, Using Machine Learning in Accuracy Assessment of Knowledge-Based Energy and Frequency Base Likelihood in Protein Structures, Lecture Notes in Computer Science (LNCS), vol:ICCS 2020 Computational Science, issue:12139, 2020, pages:572-584, ISSN (print):978-3-030-50419-9, ISSN (online):978-3-030-50420-5, doi:https://doi.org/10.1007/978-3-030-50420-5_43, Ref, IF (117 - 2019), Web of Science Quartile: Q1 (2020), SCOPUS, SJR (0.283 - 2019), SCOPUS Quartile: Q1 (2020), International, PhD, MSc
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2020
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4
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I. Mihaylov, M. Nisheva, D. Vassilev, Machine Learning Techniques for Survival Time Prediction in Breast Cancer, 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:186-194, ISSN (print):0302-9743, Ref, IR , SCOPUS, SJR (0.283 - 2018), SCOPUS Quartile: Q2 (Scopus)
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2018
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5
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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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| Статия в сборник (на конференция и др.) |
|
1
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Димитър Василев, Традиционните занаяти като средство за оцеляване на изолирани общности в градска среда по време на криза., С малко помощ от близки и приятели. Криза и справяне при изолирани етнически и конфесионални общности в България, издателство:Университетско издателство „Св. Климент Охридски“, 2024, стр.:99-112, ISBN:978-954-07-5938-8
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2024
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2
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Maya Zhelyazkova, Roumyana Yordanova, Iliyan Mihailov, Stefan Tsonev, Dimitar Vassilev, Bioinformatics and Biostatistical Models for Analysis and Prognosis of Antimicrobial Resistance, Recent Contribution to Bioinformatics and Biomedical Sciences and Engineering, editor/s:Lecture Notes in Networks and Systems, Publisher:Springer, 2023, pages:53-62, ISBN:378-3-031-31068-3, doi:10.1007/978-3-031-31069-0_7, Ref, SCOPUS, SJR (0.151 - 2021)
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2023
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3
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Boryana Pulova-Mihaylova, Iliyan Mihaylov, Irena Avdjieva, Dimitar Vassilev, A system for compression of sequencing data, ISGT, 2020, pages:223-235, PhD, MSc
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2020
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4
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Maria Nisheva, Stoyan Hadzhiyski, Iliyan Mihaylov, Irena Avdjieva, Dimitar Vassilev, Linking data for ontology based advising in healthcare, Proceedings of 2020 International Conference Automatics and Informatics (ICAI), 2020, ISBN:978-172819308-3, doi:10.1109/ICAI50593.2020.9311382, Ref, Web of Science, PhD
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2020
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5
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Maya Zhelyazkova, Roumyana Yordanova, Iliyan Mihailov, Stefan Kirov, Stefan Tsonev, David Danko, Dimitar Vassilev, Spatial models for assessment of bacterial classification relevant to AMR, International Society of MicroBiology/International Society of Computational Biology 2020 Critical Assessment of Massive Data Analysis2020, 2020, International, PhD
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2020
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6
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Simeonova V., Vassilev D., A methodology behind applying adapted QSAR as a cost-effective method for in silico biotechnology experiments , ISGT ISSN 1314-4855, editor/s:Dimitrov V., Georgiev V., Publisher:Sofia University Press, 2017, Ref
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2017
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7
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Dimitrov A., Vassilev D., Challenges in Data Anonymity, Protection and Privacy in Medical Research and Services, ISGT ISSN 1314-4855, editor/s:Dimitrov V., Georgiev V., Publisher:Sofia University Press, 2017, Ref, MSc
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2017
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8
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Avdjieva I., Krachunov M., Kulev O., Vassilev D., Discovery of Pattern Deviations Caused by Gene Duplication in Plant Evolutionary Trees , ISGT ISSN 1314-4855, editor/s:Dimitrov V., Georgiev V., Publisher:Sofia University Press, 2017, Ref, PhD
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2017
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9
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Dilyana Hadzhimateva, Irena Avdjieva, Valeriya Simeonova, Dimitar Vassilev, Hierarchical clustering in evolutionary analysis – data
preparation and validation, Proceedings of the 10th Jubilee International Conference on Information Systems & Grid Technologies, 2017
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2017
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10
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Peychev D., Vassilev D., Integrated Semantic Data Model for Functional Annotation of Protein Sequences, ISGT ISSN 1314-4855, editor/s:Diimitrov V., Georgiev V., Publisher:Sofia University Press, 2017, Ref, PhD
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2017
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11
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Dimitrova M., Vassilev D., Object Oriented Analysis and Design of Protein Fingerprints, ISGT ISSN 1314-4855, editor/s:Dimitrov V., Georgiev V., Publisher:Sofia University Press, 2017, Ref, MSc
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2017
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12
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Светослав Савов, Владимир Димитров, Димитър Василев, Management of heterogeneous data collections from external sources through PostgreSQL FDW, Information Systems & Grid Technologies, editor/s:Владимир Димитров, Васил Георгиев, 2016, pages:97-105, ISSN (print):13144855, PhD
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2016
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13
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Diulgerova Zh., Avdjieva I., Peychev D., Vassilev D., PhyloEdit: a web-based GUI for visualization and analysis of evolutionary trees, Proceedings of the 9th International Conference on Information Systems & Grid Technologies (ISGT), editor/s:Dimitrov V., Goergiev V., 2015, pages:82-89, PhD, MSc
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2015
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14
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Светослав Савов, Димитър Василев, Possible improvements in the Big Data management with InnoDB Memcached integration., Information Systems & Grid Technologies, editor/s:Владимир Димитров, Васил Георгиев, 2015, pages:73-82
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2015
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15
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Savov S., Vassilev D., Possible improvements in the BigData management with InnoDB memcached integration, Proceedings of the 9th International Conference on Information Systems & Grid Technologies (ISGT), editor/s:Georgiev V., Dimitrov V., Publisher:St. Kliment Ohridski University Press,ISSN 1314-4855, 2015, pages:73-81, PhD
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2015
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16
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Dimitrov A., Attwood T., Kulev O., Vassilev D., PRINTS data base modernisation, Proceedings of the 9th International Conference on Information Systems & Grid Technologies (ISGT), editor/s:Dimitrov V., Georgiev V., Publisher:St. Kliment Ohridski University Press, ISSN 1314-4855, 2015, pages:124-137, International, PhD, MSc
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2015
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17
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D. Vassilev, M. Nisheva, N. Ranchev, V. Ilchev, An Ontology-Based Approach for Integrating of Clinical and Molecular Information for Assistance in Medical Diagnostics, Information Systems & Grid Technologies: Proceedings of the Eighth International Conference ISGT’2014 (Sofia, Bulgaria, May 30-31, 2014), editor/s:V. Dimitrov, V. Georgiev , Publisher:St. Kliment Ohridski University Press, 2014, pages:74-80, ISSN (print):1314-4855
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2014
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18
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Krachunov M., Nisheva M., Vassilev D., Intelligent Approach for Automated Error Detection in Metagenomic Data from High-Throughput Sequencing, Proceedings of the 7th International Conference on Information Systems & Grid Technologies (ISGT), editor/s:Dimitrov V. Georgiev V., Publisher:St. KLiment Ohridski University Press ISSN 1314-4855, 2013, pages:147-155, PhD
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2013
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19
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Kulev O., Nisheva M., Simeonova V., Vassilev D., Knowledge Representation in High-Throughput Sequencing, Proceedings of the 7th International Conference on Information Systems & Grid Technologies (ISGT), editor/s:Dimitrov V., Georgiev V., Publisher:St. Kliment Ohridski University Press, ISSN 1314-4855, 2013, pages:160-168, PhD
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2013
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20
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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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21
|
Vassilev D., Simeonova V., Krachunov M., Todorovska E., Niseva M., Peychev D., Kulev O., Petrov P., Shiyachki D., Avdjieva I., Data analysis for next generation sequencing – parallel computing approaches in de novo assembly algorithms, Proceedings of the 6th International Conference on Information Systems & Grid Technologies (ISGT), editor/s:Dimitrov V., Georgiev V., Publisher:St. Kliment Ohridski University Press, ISSN 1314-4855, 2012, pages:249-279, PhD
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2012
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| Студия в научно списание |
|
1
|
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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2
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Simeonova V.,, Tasheva K., Kosturkova G., Vassilev D., A cost-effective method based on artificial neural networks to identify nutrient media combinations, producing plants with maximum bioctive substances, Serdica Journal of Computing, vol:приета за печат, 2018, Ref
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2018
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| Участие в конференция |
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1
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Секционен доклад, Димитър Василев, Title: Implementation of an ontology-based decision support system for dietary recommendations for diabetes mellitus
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2021
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2
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Секционен доклад, Димитър Василев, Spatial Models Assessment of Bacterial Classification Relevant to AMR
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2020
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3
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Секционен доклад, Димитър Василев, Modelling Bacterial Classification for Antimicrobial Resistance
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2020
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4
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Секционен доклад, Димитър Василев, Linking Data for Ontology Based Advising in Healthcare
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2020
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5
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Присъствие, Dimitar Vassilev, Using Machine Learning in Accuracy Assessment of Knowledge-Based Energy and Frequency Base Likelihood in Protein Structures
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2020
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6
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Секционен доклад, Димитър Василев, Илиян Михайлов, Използване на модели за машинно обучение за предсакзване на време на преживяване при ракови заболявания
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2019
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7
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Секционен доклад, Dimitar Vassilev, Data integration and survival time prediction models in cancer studies
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2018
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|
8
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Секционен доклад, Димитър Василев, Data integration and machine learning for metagenomics.
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2018
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