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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, Lecture Notes in Computer Science, ISSN 0302-9743 ; 11115, Springer, 2018, pp. 4
    2-54
  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. A. Debski, B. Szczepanik, M. Malawski, S. Spahr, D. Muthig, A Scalable, Reactive Architecture for Cloud Applications. IEEE Software 35(2): 62-71 (2018)
  13. 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)
  14. 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
  15. 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
  16. 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.
  17. 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.
  18. M. Wrzeszcz, R. G. Słota, J. Kitowski, Towards Transparent Data Access with Context Awareness, Computer Science Journal, 19(2), AGH, 2018, pp. 201-221
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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), p. 9, electronic publication
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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)
  30. M. Pawlik, K. Figiela, M. Malawski, Performance considerations on execution of large scale workflow applications on cloud functions, ESSCA Symposium: http://essca2018.servicelaboratory.ch/
  31. P. Moczurad, M. Malawski, Visual-textual framework for serverless computation: a Luna Language approach, WOSC4: https://www.serverlesscomputing.org/wosc4/
  32. 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)
  33. 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
  34. P. Batko, M. Kuta, Actor model of Anemone functional language, The Journal of Supercomputing 74(9), Published online: 8 January 2018
  35. Ł. Opioła, Ł. Dutka, R. G. Słota, Jacek Kitowski, Trust-driven, Decentralized Data Access Control for Open Network of Autonomous Data Providers, 2018 16th Annual Conference on Privacy, Security and Trust (PST), pp.1-10, 2018 IEEE Conferences
  36. R. Wiatr, R. G. Słota, J. Kitowski, Optimising Kafka for stream processing in latency sensitive systems, Proc. of 7th International Young Scientist Conference on Computational Science, Procedia Computer Science 136 (2018), pp. 99-108
  37. K. Grzegorczyk, M. Kurdziel "Disambiguated skip-gram model", Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 1445-1454, 2018, Association for Computational Linguistics, http://www.aclweb.org/anthology/D18-1174
  38. B. Baliś, R. Brzoza-Woch, M. Bubak, M. Kasztelnik, B. Kwolek, P. Nawrocki, P. Nowakowski, T. Szydło, K. Zieliński, Holistic approach to management of IT infrastructure for environmental monitoring and decision support systems with urgent computing capabilities, Future Generation Computer Systems, vol. 79 Pt. 1, 2018, pp. 128–143,  available online since 2016-08-31
  39. P. Batko and M. Kuta. Actor model of a new functional language - anemone, in: R. Wyrzykowski, J. Dongarra, E. Deelman, and K. Karczewski (Eds), Proceedings of the 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, volume 10778, Springer International Publishing, 2018, pp. 213–223
  40. H. Pomorski, A. Bańkowska, P. Winkowska, and M. Kuta. Stacked denoising autoencoders in author profiling. In K. Wiatr, J. Kitowski, and M. Bubak (Eds), KU KDM 2018: 11th ACC Cyfronet AGH HPC Users’ Conference, Zakopane, Poland, 2018. ACC Cyfronet AGH, pp 15–16
  41. M. Radzio and M. Kuta. Depth in multi-headed recurrent neural networks. In K. Wiatr, J. Kitowski, and M. Bubak (Eds), KU KDM 2018: 11th ACC Cyfronet AGH HPC Users’ Conference, Zakopane, Poland, 2018. ACC Cyfronet AGH, pp. 19–20
  42. Kłusek, A., Łoś, M., Paszyński, M., Dzwinel, W., Efficient model of tumor progression simulated in multi-GPU environment, International Journal of High Performance Computing Applications, on-line, First Published: December 13, 2018 
  43. Dzwinel W., Computer modeling of cancer evolution. Toy or tool?, Proceedings of Mechanisms and Models of Cancer, Cold Spring Harbor Laboratory, Long Island, USA 14-18 August 2018
  44. Panuszewska M., Minch B., Dzwinel W., Particle automata model of renal cancer progression, in: Hołub M., Paplicki P., Stawicki K., proc. of 2PhDW 2018 : 8th International Interdisciplinary PhD Workshop : 9–12 May 2018, Świnoujście, Poland, IEEE, cop. 2018, pp. 30-31
  45. Ciołczyk, M, Wojakowski, M, Malawski, M. Tracing of large‐scale actor systems. Concurrency Computat Pract Exper. 2018; 30:e4637. https://doi.org/10.1002/cpe.4637
  46. Figiela, K, Gajek, A, Zima, A, Obrok, B, Malawski, M. Performance evaluation of heterogeneous cloud functions. Concurrency Computat Pract Exper. 2018; 30:e4792. https://doi.org/10.1002/cpe.4792
  47. J. Kijak, P. Martyna, M. Pawlik, B. Balis and M. Malawski, "Challenges for Scheduling Scientific Workflows on Cloud Functions," 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), San Francisco, CA, 2018, pp. 460-467. doi: 10.1109/CLOUD.2018.00065
  48. P. Moczurad and M. Malawski, "Visual-Textual Framework for Serverless Computation: A Luna Language Approach," 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion), Zurich, 2018, pp. 169-174. doi: 10.1109/UCC-Companion.2018.00052
  49. The CMS collaboration, Sirunyan, A.M., Tumasyan, A., Malawski, M., et al. J. High Energ. Phys. (2018) 2018: 153. https://doi.org/10.1007/JHEP07(2018)153
  50. W. Pater, A. Kłusek, P. Topa, Factorization with Ulam Spiral on GPU, in:  M.  Bubak, M. Turała, K. Wiatr (eds,), proc. of  CGW Workshop'18 : Kraków, Poland, October 22–24, 2018, Academic Computer Centre CYFRONET AGH, pp. 41-42
  51. W. Funika, P. Koperek, Towards co-evolution of fitness predictors and Deep Neural Networks. CoRR abs/1801.00119 (2018)
  52. W. Funika, P. Koperek, J. Kitowski, Repeatable Experiments in the Cloud Resources Management Domain with Use of Reinforcement Learning, in: M. Bubak, M. Turała, K. Wiatr (Eds.), Proceedings of Cracow Grid Workshop - CGW'18, October 22-24 2018, ACC-Cyfronet AGH, 2018, Krakow
  53. P. Knapczyk, M. Nowak, M. Pluta, W. Funika, Use of Recurrent Neural Network for Grammatical Error Detection, in: KU KDM 2018 : ninth ACC Cyfronet AGH users' conference : Zakopane, 7-9 Mar, 2018 : proceedings. — Kraków : ACK Cyfronet AGH, 2018
  54. M. Woś, M. Matusiak, W. Funika, A Workflow Visualisation Model for Pegasus WMS, in: KU KDM 2018 : ninth ACC Cyfronet AGH users' conference : Zakopane, 7-9 Mar, 2018 : proceedings. — Kraków : ACK Cyfronet AGH, 2018
  55. A. Marciniec, D. Prokopek, W. Funika, An Experimental Study of Sensitivity Analysis Methods, in: KU KDM 2018 : ninth ACC Cyfronet AGH users' conference : Zakopane, 7-9 Mar, 2018 : proceedings. — Kraków : ACK Cyfronet AGH, 2018