Research Areas Areas

    Bioinformatics

    Research is done in three areas of bioinformatics: sequencing data analysis; expression data analysis; integrating different types of biological data

    Machine Learning

    Machine learning methods are developed, including methods for the analysis of big data

    Programming Technologies

    All software developers dream of the times when computers will write programs for them, or, if it is not possible, that computers will at least help them in this hard task

      News

      Last publications Publications

      2018 year
      • Lavrentyeva G., Kudashev O., Melnikov A., De Marsiko M., Matveev Y.

        Interactive Photo Liveness for Presentation Attacks Detection // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2018, Vol. 10882, pp. 252-258

      • Abuhay T.M.

        Investigating Application of Change Point Analysis in Monitoring Health Condition of Acute Coronary Syndrome Patients // Investigating Application of Change Point Analysis in Monitoring Health Condition of Acute Coronary Syndrome Patient - 2018, pp. 10-18

      • Баранюк О.А.

        Ontology-Based Human-Robot Interaction: An Approach and Case Study on Adaptive Remote Control Interface // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2018, pp. 1-11

      • Putin E., Asadulaev A.A., Vanhaelen Q., Ivanenkov Y., Aladinskaya A.V., Aliper A., Zhavoronkov A.

        Adversarial Threshold Neural Computer for Molecular de Novo Design // Molecular Pharmaceutics - 2018, pp. in press

      • Putin E., Asadulaev A.A., Ivanenkov Y., Aladinskiy V., Sanchez-Lengeling B., Zhavoronkov A.

        Reinforced Adversarial Neural Computer for de Novo Molecular Design // Journal of Chemical Information and Modeling - 2018, Vol. 58, No. 6, pp. 1194-1204

      • Simonov A.O., Lebin A.E., Shcherbak B.D., Zagarskikh A.S., Karsakov A.S.

        Multi-agent crowd siimulation on large areas with utility-based behavior models: Sochi Olympic Park Station use case // Procedia Computer Science - 2018, pp. 1-10

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