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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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2020

  1. E. Elkind, P. Faliszewski, P. Skowron, A Characterization of the Single-Peaked Single-Crossing Domain, Social Choice and Welfare, Vol. 54(1), pp. 167--187, 2020
  2. R. Bredereck, P. Faliszewski, R. Niedermeier, P. Skowron, N.Talmon, Mixed Integer Programming with Convex/Concave Constraints: Fixed-Parameter Tractability and Applications to Multicovering and Voting, Theoretical Computer Science, Vol. 814, pp. 86--105, 2020.
  3. R. Wiatr,  L. Lyutenko, M. Demczuk, R. Słota, J. Kitowski, Click-fraud Detection for Online Advertising, in: R. Wyrzykowski et al. (Eds.), proc. of PPAM 2019 conference, LNCS 12043, Springer, 2020, pp. 261-271
  4. B. Baliś, M. Orzechowski, K. Pawlik, M. Pawlik, and M. Malawski,Cloud Infrastructure Automation for Scientific Workflows : in: R. Wyrzykowski et al. (Eds.), proc. of Parallel Processing and Applied Mathematics: 13th international conference, PPAM 2019 : Bialystok, Poland, September 8-11, 2019 : revised selected papers, Pt. 1. Cham: Springer, Lecture Notes in Computer Science, pp. 287-297.
  5. W. Funika, P. Koperek, Co-evolution of fitness predictors and deep neural networks, : in: R. Wyrzykowski et al. (Eds.), proc. of Parallel Processing and Applied Mathematics: 13th international conference, PPAM 2019 : Bialystok, Poland, September 8-11, 2019 : revised selected papers, Pt. 1. Cham: Springer, Lecture Notes in Computer Science, pp. 467-478.
  6. E. Elkind, P. Faliszewski, S. Gupta, S. Roy, Algorithms for Swap and Shift Bribery in Structured Elections, In Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), p. 366--374, May 2020
  7. S. Szufa, P. Faliszewski, P.Skowron, A. Slinko, N. Talmon, Drawing a Map of Elections in the Space of Statistical Cultures, In Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), p. 1341--1349, May 2020
  8. S. Obraztsova, E. Elkind, P. Faliszewski, On Swap Convexity of Voting Rules, In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-2020), p. 1910--1917, February 2020.
  9. R. Bredereck, P. Faliszewski, A. Kaczmarczyk, D. Knop, R. Niedermeier, Parameterized Algorithms for Finding a Collective Set of Items, In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-2020), p. 1838--1845, February 2020.
  10. P. Faliszewski, P. Skowron, A. Slinko, S. Szufa, N. Talmon, Isomorphic Distances Among Elections, In Proceedings of the 15th International Computer Science Symposium in Russia (CSR-2020), pp. 64-78, June-July 2020.
  11. M. Kromka, W. Czech, and W. Dzwinel, Community aware models of meme spreading in micro-blog social networks, in: V. V. Krzhizhanovskaya et al. (Eds.), Proc. ICCS 2020 Inter. Conference, LNCS 12137, pp. 623-637, Springer 2020
  12. M. Sendera, G. Duane, and W. Dzwinel, Supermodeling: the second level of abstraction of data assimilation procedure, in: V. V. Krzhizhanovskaya et al. (Eds.), Proc. ICCS 2020 Inter. Conference, LNCS 12142, pp. 133-147, Springer 2020
  13. B. Minch, M. Nowak, R. Wcisło, and W. Dzwinel, GPU-Embedding of kNN-Graph Reprezenting Large and High_Dimentional Data, in: V. V. Krzhizhanovskaya et al. (Eds.), Proc. ICCS 2020 Inter. Conference, LNCS 12138, pp. 322-336, Springer 2020
  14. W. Funika, P. Koperek, and J. Kitowski, Automatic management of cloud applications with use of Proximal Policy Optimization, in: V. V. Krzhizhanovskaya et al. (Eds.), Proc. ICCS 2020 Inter. Conference, LNCS 12137, pp. 73-87, Springer 2020
  15. G. Lippa, K. Makieła, and M. Kuta, Simulations of Quantum Finite Automata, in: V. V. Krzhizhanovskaya et al. (Eds.), Proc. ICCS 2020 Inter. Conference, LNCS 12142, pp. 441-450, Springer 2020
  16. M. Biel, M. Kuta, and J. Kitowski, Personality Recognition from Source Code Based on Lexical, Syntactic and Semantic Features, in: V. V. Krzhizhanovskaya et al. (Eds.), Proc. ICCS 2020 Inter. Conference, LNCS 12138, pp. 351-363, Springer 2020
  17. J. Kruczek and P. Kruczek and M. Kuta, Are n-gram Categories Helpful in Text Classi cation?, in: V. V. Krzhizhanovskaya et al. (Eds.), Proc. ICCS 2020 Inter. Conference, LNCS 12138, pp. 524-537, Springer 2020
  18. M. Orzechowski, B. Baliś, R. G. Słota, and J. Kitowski, Reproducibility of computational experiments on Kubernetes-managed container clouds with HyperFlow, in: V. V. Krzhizhanovskaya et al. (Eds.), Proc. ICCS 2020 Inter. Conference, LNCS 12137, pp. 220-233, Springer 2020
  19. D. Tomasiewicz, M. Pawlik, M. Malawski, and K. Rycerz, Foundations for Workflow Application Scheduling on D-Wave System, in: V. V. Krzhizhanovskaya et al. (Eds.), Proc. ICCS 2020 Inter. Conference, LNCS 12142, pp. 516-530, Springer 2020
  20. M. Biel, M. Kuta , and J. Kitowski, Personality Recognition from Source Code Based on Lexical, Syntactic and Semantic Features, in: V. V. Krzhizhanovskaya et al. (Eds.): ICCS 2020, LNCS 12138, pp. 351–363, Springer 2020. https://doi.org/10.1007/978-3-030-50417-5 _ 26
  21. M. Orzechowski, B. Baliś, Ł. Dutka, R. G. Słota, J. Kitowski, Transparent data access for scientific workflows across clouds, Proc. of Euro-Par 2019 Workshops, Aug.26-30, 2019, LNCS 11997, pp. 751-755, Springer 2020.