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The Computer Science Journal (https://journals.agh.edu.pl/csci/) is published by the AGH University of Science and Technology, Krakow, Poland. The Editors of the Journal are members of the Faculty of Computer Science, Electronics and Telecommunications and the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. The Editorial Board consists of many renowned researchers from all over the world.

Original papers on theoretical and applied computer science problems are published. Example areas of interest are: theoretical aspects of computer science, pattern recognition and processing, evolutionary algorithms, neural networks, multi-agent systems, computer networks management, distributed, grid and cloud computing.

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2019

  1. P. Skowron, P. Faliszewski, A. Slinko, Axiomatic Characterization of Committee Scoring Rules, Journal of Economic Theory, Vol. 180, pp. 244--273, 2019.
  2. P. Faliszewski, P. Skowron, A. Slinko, N. Talmon, Committee Scoring Rules: Axiomatic Characterization and Hierarchy, ACM Transactions on Economics and Computation, Vol. 7(1), Article 3, 2019.
  3. K. Wiatr, J. Kitowski and M. Bubak (eds.), Twelfth ACC Cyfronet AGH HPC users' conference , Zakopane, March 6-8, 2019, Prodeedings, Academic Computer Centre Cyfronet AGH, 2019.
  4. M. Orzechowski, B. Baliś, M. Ćwiertnia, Ł. Dutka, R. G. Słota and J. Kitowski, Scientific computing with application containers: onedata and hyperflow use cases, Twelfth ACC Cyfronet AGH HPC users' conference , Zakopane, March 6-8, 2019, Prodeedings, Academic Computer Centre Cyfronet AGH, 2019, pp. 51-52.
  5. Antchev, G., Aspell, P., Atanassov, I., Malawski, M., et al. Eur. Phys. J. C (2019) 79: 103. https://doi.org/10.1140/epjc/s10052-019-6567-0
  6. A. Kaczmarczyk, P. Faliszewski, Algorithms for Destructive Shift Bribery, Autonomous Agents and Multiagent Systems, Vol. 33(3), pp. 275--297, 2019
  7. M. Brill, P. Faliszewski, F. Sommer, N. Talmon, Approximation Algorithms for BalancedCC Multiwinner Rules, Proceedings of the 18th Conference on Autonomous Agents and Multiagent Systems (AAMAS-2019), pp. 494-502, May 2019
  8. P. Faliszewski, P. Skowron, S. Szufa, N. Talmon, Proportional Representation in Elections: STV vs PAV, Proceedings of the 18th Conference on Autonomous Agents and Multiagent Systems (AAMAS-2019), pp. 1946-1948, May 2019
  9. Wrzeszcz M., Opioła Ł., Kryza B., Dutka Ł., Słota R.G., Kitowski J. (2019) Harmonizing Sequential and Random Access to Datasets in Organizationally Distributed Environments. In: Rodrigues J. et al. (eds) Computational Science – ICCS 2019. ICCS 2019. Lecture Notes in Computer Science, vol 11536. Springer, Cham, pp 295-308
  10. Ł. Rauch, K. Bzowski, R. Kuziak, P. Uranga, I. Gutierrez, N. Isasti, R. Jacolot, J. Kitowski, M. Pietrzyk, Computer-Integrated Platform for Automatic, Flexible, and Optimal Multivariable Design of a Hot Strip Rolling Technology Using Advanced Multiphase Steels, Metals, 9(7), 737 (2019) 1-24 doi:10.3390/met9070737
  11. Wrzeszcz M., Opioła Ł., Kryza B., Dutka Ł., Słota R.G., Kitowski J. (2019) Harmonizing Sequential and Random Access to Datasets in Organizationally Distributed Environments. In: Rodrigues J. et al. (eds) Computational Science – ICCS 2019. ICCS 2019. Lecture Notes in Computer Science, vol 11536. Springer, Cham, https://doi.org/10.1007/978-3-030-22734-0_22
  12. Wójcik, P.I. & Kurdziel, M. Pattern Anal Applic (2019) 22: 1221. https://doi.org/10.1007/s10044-018-0697-0
  13. Przewięźlikowski M., Grabowski M., Kurzyk D., Rycerz K. (2019) Support for High-Level Quantum Bayesian Inference. In: Rodrigues J. et al. (eds) Computational Science – ICCS 2019. ICCS 2019. Lecture Notes in Computer Science, vol 11540. Springer, Cham DOI https://doi.org/10.1007/978-3-030-22750-0_76
  14. Krok M., Rycerz K., Bubak M. (2019) Application of Continuous Time Quantum Walks to Image Segmentation. In: Rodrigues J. et al. (eds) Computational Science – ICCS 2019. ICCS 2019. Lecture Notes in Computer Science, vol 11537. Springer, Cham DOI https://doi.org/10.1007/978-3-030-22741-8_2
  15. P. Faliszewski, P. Manurangsi, K. Sornat, Approximation and Hardness of Shift-Bribery, Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-2019), pp. 1901-1908, Jan.-Feb 2019.
  16. P. Faliszewski, P. Skowron, A. Slinko, S. Szufa, N. Talmon, How Similar Are Two Elections?, Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-2019), pp. 1909-1916, Jan.-Feb. 2019.
  17. N. Talmon, P. Faliszewski, A Framework for Approval-Based Budgeting Methods, Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-2019), pp. 2181-2188, Jan.-Feb. 2019.
  18. R. Bredereck, P. Faliszewski, A. Kaczmarczyk, R. Niedermeier, An Experimental View on Committees Providing Justified Representation, Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-2019), pp. 109-115, August 2019.
  19. M. Kocot, A. Kolonko, E. Elkind, P. Faliszewski, N. Talmon, Multigoal Committee Selection, Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-2019), pp. 385-391, August 2019.
  20. K. Magiera, P. Faliszewski, Recognizing Top-Monotonic Preference Profiles in Polynomial Time, Journal of Artificial Intelligence Research, Vol. 66, pp. 57-84, 2019.