JetBrains Research unites scientists working in challenging new disciplines

JetBrains Research is a private enterprise created to unite scientific projects that really make a difference and strive to improve a current state of science and technology. With the support of JetBrains, researchers and teams can focus on the actual work, instead of grant seeking or dealing with other management issues.

Recent publications

  • Evgenii Novozhilov, Ivan Veselov, Mikhail Pravilov, Timofey Bryksin

    preprint

    3rd International Workshop on Refactoring (IWoR),
  • Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, Alberto Bacchelli

    preprint

    16th International Conference on Mining Software Repositories (MSR),
  • Semyon Grigorev and Polina Lunina

    We propose a way to combine formal grammars and artificial neural networks for biological sequences processing. Formal grammars encode the secondary structure of the sequence and neural networks deal with mutations and noise. In contrast to the classical way, when probabilistic grammars are used for secondary structure modeling, we propose to use arbitrary (not probabilistic) grammars which simplifies grammar creation. Instead of modeling the structure of the whole sequence, we create a grammar which only describes features of the secondary structure. Then we use matrix-based parsing to extract features: the fact that some substring can be derived from some nonterminal is a feature. After that, we use a dense neural network to process features.

    Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOINFORMATICS,