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  1. 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, 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 proceeding › Conference contribution › Research › peer-review

  2. Representative families for matroid intersections, with applications to location, packing, and covering problems

    van Bevern, R., Tsidulko, O. Y. & Zschoche, P., 31 Jul 2021, In: Discrete Applied Mathematics. 298, p. 110-128 19 p.

    Research output: Contribution to journal › Article › peer-review

  3. 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, 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 proceeding › Conference contribution › Research › peer-review

  4. 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 proceeding › Conference contribution › Research › peer-review

  5. 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 proceeding › Conference contribution › Research › peer-review

  6. 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 proceeding › Conference contribution › Research › peer-review

  7. Searching for optimal classifier using a combination of cluster ensemble and kernel method

    Berikov, V. B. & Cherikbayeva, L. S., 1 Jan 2018, In: CEUR Workshop Proceedings. 2098, p. 45-60 16 p.

    Research output: Contribution to journal › Conference article › peer-review

  8. 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, 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 proceeding › Conference contribution › Research › peer-review

  9. Semi-supervised classification with cluster ensemble

    Berikov, V., Karaev, N. & Tewari, A., 14 Nov 2017, Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., p. 245-250 6 p. 8109880

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  10. Semi-supervised regression using cluster ensemble and low-rank co-association matrix decomposition under uncertainties

    Berikov, V. & Litvinenko, A., 2019, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019. Papadrakakis, M., Papadopoulos, V. & Stefanou, G. (eds.). National Technical University of Athens, p. 229-242 14 p. (Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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