1. Conference contribution › Research › Peer-reviewed
  2. Public-private partnership models with tax incentives: Numerical analysis of solutions

    Lavlinskii, S., Panin, A. A. & Plyasunov, A. V., 1 Jan 2018, Optimization Problems and Their Applications - 7th International Conference, OPTA 2018, Revised Selected Papers. Springer-Verlag GmbH and Co. KG, p. 220-234 15 p. (Communications in Computer and Information Science; vol. 871).

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

  3. Randomized algorithms for some clustering problems

    Kel’manov, A., Khandeev, V. & Panasenko, A., 1 Jan 2018, Optimization Problems and Their Applications - 7th International Conference, OPTA 2018, Revised Selected Papers. Springer-Verlag GmbH and Co. KG, p. 109-119 11 p. (Communications in Computer and Information Science; vol. 871).

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

  4. Randomized algorithms for some sequence clustering problems

    Khamidullin, S., Khandeev, V. & Panasenko, A., 1 Jun 2020, Learning and Intelligent Optimization - 14th International Conference, LION 14, 2020, Revised Selected Papers. Kotsireas, I. S. & Pardalos, P. M. (eds.). Springer Gabler, p. 96-101 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12096 LNCS).

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

  5. Recognition of Tomographic Images in the Diagnosis of Stroke

    Kalmutskiy, K., Tulupov, A. & Berikov, V., 2021, Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J. & Vezzani, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 166-171 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12665 LNCS).

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

  6. Regression analysis with cluster ensemble and kernel function

    Berikov, V. & Vinogradova, T., 1 Jan 2018, Analysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Revised Selected Papers. Panchenko, A., van der Aalst, W. M., Khachay, M., Pardalos, P. M., Batagelj, V., Loukachevitch, N., Glavaš, G., Ignatov, D. I., Kuznetsov, S. O., Koltsova, O., Lomazova, I. A., Savchenko, A. V., Napoli, A. & Pelillo, M. (eds.). Springer-Verlag GmbH and Co. KG, p. 211-220 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11179 LNCS).

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

  7. Routing open shop with two nodes, unit processing times and equal number of jobs and machines

    Golovachev, M. & Pyatkin, A. V., 1 Jan 2019, Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings. Khachay, M., Pardalos, P. & Kochetov, Y. (eds.). Springer-Verlag GmbH and Co. KG, p. 264-276 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11548 LNCS).

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

  8. Scheduling Malleable Jobs under Topological Constraints

    Bampis, E., Dogeas, K., Kononov, A., Lucarelli, G. & Pascual, F., 1 May 2020, Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020. Institute of Electrical and Electronics Engineers Inc., p. 316-325 10 p. 9139853. (Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020).

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

  9. Scheduling under uncertainty: A Query-based Approach

    Arantes, L., Bampis, E., Kononov, A., Letsios, M., Lucarelli, G. & Sens, P., 1 Jan 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. International Joint Conferences on Artificial Intelligence, Vol. 2018-July. p. 4646-4652 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2018-July).

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

  10. Scheduling with Untrusted Predictions

    Bampis, E., Dogeas, K., Kononov, A., Lucarelli, G. & Pascual, F., 2022, Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022. De Raedt, L. (ed.). International Joint Conferences on Artificial Intelligence, p. 4581-4587 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

  11. Semi-supervised classification using multiple clustering and low-rank matrix operations

    Berikov, V., 1 Jan 2019, Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings. Khachay, M., Pardalos, P. & Kochetov, Y. (eds.). Springer-Verlag GmbH and Co. KG, p. 529-540 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11548 LNCS).

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

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