1. Logical probabilistic biologically inspired cognitive architecture

    Vityaev, E. E., Demin, A. V. & Kolonin, Y. A., 1 Aug 2020, Artificial General Intelligence - 13th International Conference, AGI 2020, Proceedings. Goertzel, B., Potapov, A., Panov, A. I. & Yampolskiy, R. (eds.). Springer Gabler, p. 337-346 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12177 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  2. Interpretable logical-probabilistic approximation of neural networks

    Vityaev, E. & Korolev, A., Dec 2024, In: Cognitive Systems Research. 88, 101301.

    Research output: Contribution to journalArticlepeer-review

  3. How to predict consistently?

    Vityaev, E. & Odintsov, S., 2019, Studies in Computational Intelligence. Springer, p. 35-41 7 p. (Studies in Computational Intelligence; vol. 796).

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

  4. Formalization of «natural» classification and systematics as fix-points ofpredictions

    Vityaev, E. E. E. & Martinovich, V. V. E., 2015, In: Сибирские электронные математические известия. 12, p. 1006-1031 26 p.

    Research output: Contribution to journalArticlepeer-review

  5. Formalization of ⇜natural⇝ classification and ⇜natural⇝ concepts by probabilistic generalization of formal concepts analysis

    Vityaev, E. E., Degtiarev, V., Pak, B. & Meister, Y., Oct 2020, In: CEUR Workshop Proceedings. 2648, p. 59-73 15 p.

    Research output: Contribution to journalConference articlepeer-review

  6. Explainable Rule-Based Clustering based on Cyclic Probabilistic Causal Models

    Vityaev, E. E. & Pak, B., Sept 2020, 2020 24th International Conference Information Visualisation, IV 2020. Banissi, E., Khosrow-Shahi, F., Ursyn, A., McK. Bannatyne, M. W., Pires, J. M., Datia, N., Nazemi, K., Kovalerchuk, B., Counsell, J., Agapiou, A., Vrcelj, Z., Chau, H-W., Li, M., Nagy, G., Laing, R., Francese, R., Sarfraz, M., Bouali, F., Venturin, G., Trutschl, M., Cvek, U., Muller, H., Nakayama, M., Temperini, M., Di Mascio, T., Rossano, F. S. V. R., Dorner, R., Caruccio, L., Vitiello, A., Huang, W., Risi, M., Erra, U., Andonie, R., Ahmad, M. A., Figueiras, A. & Mabakane, M. S. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 307-312 6 p. 9373131. (Proceedings of the International Conference on Information Visualisation; vol. 2020-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  7. Development of artificial cognitive systems based on models of the brain of living organisms

    Putintsev, N. I., Vishnevsky, O. V. & Vityaev, E. E., 1 Nov 2015, In: Russian Journal of Genetics: Applied Research. 5, 6, p. 589-600 12 p.

    Research output: Contribution to journalArticlepeer-review

  8. Consciousness as a logically consistent and prognostic model of reality

    Vityaev, E., 1 Jan 2020, In: Cognitive Systems Research. 59, p. 231-246 16 p.

    Research output: Contribution to journalArticlepeer-review

  9. Consciousness as a Brain Complex Reflection of the Outer World Causal Relationships

    Vityaev, E., 1 Jan 2020, Biologically Inspired Cognitive Architectures 2019 - Proceedings of the 10th Annual Meeting of the BICA Society. Samsonovich, A. V. (ed.). Springer, p. 556-561 6 p. (Advances in Intelligent Systems and Computing; vol. 948).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  10. Computer analysis of colocalization of the TFs’ binding sites in the genome according to the ChIP-seq data

    Dergilev, A. I., Spitsina, A. M., Chadaeva, I. V., Svichkarev, A. V., Naumenko, F. M., Kulakova, E. V., Galieva, E. R., Vityaev, E. E., Chen, M. & Orlov, Y. L., 1 Jul 2017, In: Russian Journal of Genetics: Applied Research. 7, 5, p. 513-522 10 p.

    Research output: Contribution to journalArticlepeer-review

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