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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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2018

  1. D. Hoppe, Y. Sandoval, A. Sulistio, M. Malawski, B. Baliś, M. Pawlik, K. Figiela, D. Król, M. Orzechowski, J. Kitowski, M. Bubak, Bridging the Gap Between HPC and Cloud Using HyperFlow and PaaSage, in: R. Wyrzykowski et al. (Eds.): Proc. of 12th INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING AND APPLIED MATHEMATICS PPAM 2017, September 10-13, 2017, LNCS 10777, Springer, 2018, pp. 432–442
  2. M. Wrzeszcz, D. Nikolow, T. Lichoń, R. Słota, Ł. Dutka, R. G. Słota, J. Kitowski, Consistency Models for Global Scalable Data Access Services, in: R. Wyrzykowski et al. (Eds.): Proc. of 12th INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING AND APPLIED MATHEMATICS PPAM 2017, September 10-13, 2017, LNCS 10777, Springer, 2018, pp. 471–480
  3. Sz. Górowski, R. Maguda, P. Topa, Multi-agent Systems Programmed Visually with Google Blockly, in: R. Wyrzykowski et al. (Eds.): Proc. of 12th INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING AND APPLIED MATHEMATICS PPAM 2017, September 10-13, 2017, LNCS 10777, Springer, 2018, pp. 476–484
  4. K. Piętak, P. Topa, Towards Multi-Agent Simulations Accelerated by GPU, in: R. Wyrzykowski et al. (Eds.): Proc. of 12th INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING AND APPLIED MATHEMATICS PPAM 2017, September 10-13, 2017, LNCS 10777, Springer, 2018, pp. 456–465
  5. W. Dzwinel, A. Kłusek, R. Wcisło, M. Panuszewska, P. Topa, Continuous and Discrete Models of Melanoma Progression Simulated in Multi-GPU Environment, in: R. Wyrzykowski et al. (Eds.): Proc. of 12th INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING AND APPLIED MATHEMATICS PPAM 2017, September 10-13, 2017, LNCS 10777, Springer, 2018, pp. 505–518
  6. W. Funika, P. Koperek, Co-evolution of Fitness Predictors and Deep Neural Networks, in: R. Wyrzykowski et al. (Eds.): Proc. of 12th INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING AND APPLIED MATHEMATICS PPAM 2017, September 10-13, 2017, LNCS 10777, Springer, 2018, pp. 555–564
  7. Ł. Opioła, Ł. Dutka, M. Wrzeszcz, R. Słota, J, Kitowski, Two-Layer Load Balancing for Onedata System, COMPUTING AND INFORMATICS, 37 (1), 2018, pp. 1-22
  8. M. Bubak, D. Król, R. Słota, M. Orzechowski, J. Kitowski, D. Hoppe, Molecular Dynamics with HyperFlow and Scalarm on the PaaSage Platform, in proc. of
    Advances in Service-Oriented and Cloud Computing: Workshops of ESOCC 2016, Vienna, Austria, September 5–7, 2016, Revised Selected Papers vol. 707, Springer 2018, pp. 299-300
  9. A. Kłusek, W. Dzwinel, Multi-GPU k-Nearest Neighbor Search in the Context of Data Embedding, in: Advances in Parallel Computing, 32, 2018, pp 359 - 368
  10. M. Panuszewska, B. Minch, R. Wcisło, W. Dzwinel, PAM: Discrete 3-D model of tumor dynamics in presence of anti-tumor treatment, in proc. of ACRI International Conference on Cellular Automata for Research and Industry, Como, Italy, September 2018, prepared for submission
  11. W. Dzwinel, A. Kłusek, M. Łoś, M. Paszynski, Maciej, Efficient model of tumor progression simulated in multi-GPU environment, International Journal of High Performance Computing Applications, submitted
  12. W. Dzwinel, A. Kłusek, R. Wcisło, M. Panuszewska, P. Topa, Paweł, Continuous and Discrete Models of Melanoma Progression Simulated in Multi-GPU Environment, pp. 505-518
  13. W. Dzwinel, R. Wcisło, S. Matwin, ivhd: A fast and simple algorithm for embedding large and high-dimensional data, In Progress
  14. A. Debski, B. Szczepanik, M. Malawski, S. Spahr, D. Muthig, A Scalable, Reactive Architecture for Cloud Applications. IEEE Software 35(2): 62-71 (2018)
  15. P. Nowakowski, M. Bubak, T. Bartyński, T. Gubała, D. Haręźlak, M. Kasztelnik, M. Malawski, J. Meizner, Cloud computing infrastructure for the VPH community. J. Comput. Science 24: 169-179 (2018)
  16. A. Byrski, K. Rycerz, J. Hughes, K. Hammond, Special section on functional paradigm for high performance computing, In Future Generation Computer Systems, Volume 79, Part 2, 2018, Pages 643-644
  17. G. Skiba, M. Starzec, A. Byrski, K. Rycerz, M. Kisiel-Dorohinicki, W. Turek, D. Krzywicki, T. Lenaerts, J. C. Burguillo, Flexible asynchronous simulation of iterated prisoner’s dilemma based on actor model, Simulation Modelling Practice and Theory : international journal of the Federation of European Simulation Societies, 2018, vol. 83, pp. 75–92
  18. P. Faliszewski, M. Lackner, D. Peters, N. Talmon, Effective Heuristics for Committee Scoring Rules, Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-2018), pp. 1023--1030, February 2018.
  19. R. Bredereck, P. Faliszewski, A. Igarashi, M. Lackner, P. Skowron, Effective Heuristics for Committee Scoring Rules, Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-2018), pp. 933--940, February 2018.
  20. M. Wrzeszcz, R. G. Słota, J. Kitowski, Towards Transparent Data Access with Context Awareness, Computer Science Journal, 19(2), AGH, 2018, pp. 201-221
  21. P. Faliszewski, N. Talmon, Between Proportionality and Diversity: Balancing District Sizes under the Chamberlin-Courant Rule, Proceedings of the 17th Conference on Autonomous Agents and Multiagent Systems (AAMAS-2018), pp. 14-22, July 2018
  22. P. Faliszewski, S. Szufa, N. Talmon, Between Proportionality and Diversity: Balancing District Sizes under the Chamberlin-Courant Rule, Proceedings of the 17th Conference on Autonomous Agents and Multiagent Systems (AAMAS-2018), pp. 32-40, July 2018
  23. H. Aziz, P. Faliszewski, B. Grofman, A. Slinko, N. Talmon, Egalitarian Committee Scoring Rules, Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-2018), pp. 56-62, July 2018
  24. P. Faliszewski, R. Gonen, M. Koutecký, N. Talmon, Opinion Diffusion and Campaigning on Society Graphs, Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-2018), pp. 219-225, July 2018
  25. M. Łoś,  A. Kłusek, M. A. Hassan, K. Pingali, W.  Dzwinel, M.  Paszynski,. Parallel fast isogeometric L2 projection solver with GALOIS system for 3D tumor growth simulations. Computer Methods in Applied Mechanics and Engineering, electronic publication
  26. Siwik, Leszek,M.  Łoś, A. Kłusek, W. Dzwinel, M. Paszynski, Maciej.. TUNING TWO-DIMENSIONAL TUMOR GROWTH SIMULATIONS,  proc of. Conference: Conference: Summer Simulation,  9-12 July 2018, Bordeaux, France, 2018 Society for Modeling & Simulation International (SCS), electronic publication
  27. P. Faliszewski, A. Slinko, K. Stahl, N. Talmon: Achieving fully proportional representation by clustering voters, Journal of Heuristics, vol. 24(5). pp. 725-756, 2018
  28. A. Kłusek, M. Kurdziel, M. Paciorek, P. Wawryka, W. Turek, Driver profiling by using LSTM networks with Kalman filtering, in: proc. of the 2018 29-th IEEE Intelligent Vehicles symposium : June 26-30, 2018, Suzhou, China, IEEE, 2018, electronic document, access since 2018
  29. P. Faliszewski, P.Skowron, A. Slinko, N. Talmon: Multiwinner Analogues of the Plurality Rule: Axiomatic and Algorithmic Views, Social Choice and Welfare, Vol. 51(3), pp. 513--550, 2018
  30. M. Orzechowski, B. Baliś, K. Pawlik, M. Pawlik, M. Malawski, Transparent deployment of scientific workflows across clouds – Kubernetes approach, 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, (2018) 9-10, DOI 10.1109/UCC-Companion.2018.00020
  31. D. Nikolow, R. Slota, S. Polak, M. Pogoda, J. Kitowski, Policy-based SLA storage management model for distributed data storage services, Computer Science (AGH) 19(4) (2018)
  32. M. Pawlik, K. Figiela, M. Malawski, Performance considerations on execution of large scale workflow applications on cloud functions, ESSCA Symposium: http://essca2018.servicelaboratory.ch/
  33. P. Moczurad, M. Malawski, Visual-textual framework for serverless computation: a Luna Language approach, WOSC4: https://www.serverlesscomputing.org/wosc4/
  34. Valentina Avati, Milosz Blaszkiewicz, Enrico Bocchi, Luca Canali, Diogo Castro, Javier Cervantes, Leszek Grzanka, Enrico Guiraud, Jan Kaspar, Prasanth Kothuri, Massimo Lamanna, Maciej Malawski, Aleksandra Mnich, Jakub Moscicki, Shravan Murali, Danilo Piparo, Enric Tejedor, Big Data Tools and Cloud Services for High Energy Physics Analysis in TOTEM Experiment, 2018 IEEE/ACM International Conference on Utility and Cloud Computing (poster)
  35. W. Funika, Use of Self-Healing Techniques for Highly-Available Distributed Monitoring, in: Computing and Informatics, Vol. 37, 2018, 424–456, doi: 10.4149/cai 2018 2 424
  36. P. Batko, M. Kuta, Actor model of Anemone functional language, The Journal of Supercomputing 74(9), Published online: 8 January 2018