Publications

  • Shpilman A.A, Nadezhdina E.S.
    In silico vs in vitro: Mimitation v1.0 program allows to predic morphological and dynamic changes of tubulin cytoskeleton caused by microtubule stabilization
    Biological Motility: Achievements and Perspectives,
  • Chivilikhin D., Ivanov I., Shalyto A.
    Proceedings of 17th Genetic and Evolutionary Computation Conference companion (GECCO'15 companion), pp. 1185-1188,
  • Maxim N. Artyomov, Alexey Sergushichev, Joel D. Schilling
    Seminars in Immunology, Volume 28, Issue 5,
  • M. Li, T. Brys, D. Kudenko
    Introspective Reinforcement Learning and Learning from Demonstration
    17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS),
  • M. Li, T. Brys, D. Kudenko
    Introspective Reinforcement Learning and Learning from Demonstration
    17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS),
  • Shpilman A.A., Chudinova E.V., Lubitelev A., Ivanov P.A. Nadezhdina E.S.
    Investigation on Dependence of Stress Granules Formation on Microtubule Network Parameters and Stress Agent Concentration Through Numerical Model
    V ICMBB,
  • Sharmila Nair, Jeremy P. Huynh, Vicky Lampropoulou, Ekaterina Loginicheva, View ORCID ProfileEkaterina Esaulova, Anshu P. Gounder, View ORCID ProfileAdrianus C.M. Boon, Elizabeth A. Schwarzkopf, Tara R. Bradstreet, Brian T. Edelson, Maxim N. Artyomov, Christina L. Stallings, Michael S. Diamond
    Journal of Experimental Medicine,
  • N. Al-Roussais, D. Kudenko
    iSynchronizer: A Tool for Extracting, Integration and Analysis of MovieLens and IMDb Datasets
    Holistic User Modelling Workshop at UMAP '18,
  • V. Lampropoulou, A. Sergushichev, M. Bambouskova, S. Nair, E. Vincent, E. Loginicheva, L. Cervantes-Barragan, X. Ma, S. Huang, T. Griss, C. Weinheimer, S. Khader, G. Randolph, E. Pearce, R. G. Jones, A. Diwan, M. Diamond,M. N. Artyomov
    Cell Metabolism,
  • Valentin Grigorev and George Chernishev
    In Proceedings of the 2016 International Conference on Management of Data (SIGMOD '16). ACM, New York, NY, USA, 2251-2252.,
  • Ilya Kuzmin, Sergey Krendelev
    Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 793–795,
  • Chivilikhin D., Ulyantsev V.
    Lecture Notes in Computer Science, Vol. 7461/2012, pp. 268-275,
  • A. Malysheva, A. Shpilman, and D. Kudenko
    Learning to Run with Reward Shaping from Video Data
    Workshop on Adaptive and Learning Agents (ALA) at ICML-AAMAS,
  • Marina Polubelova, Semyon Grigorev
    Systems and Means of Informatics,

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