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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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2016

  1. D. Król, J.Kitowski, Self-scalable Services in Service Oriented Software for Cost-effective Data Farming, Future Generation Computer Systems, 54 (2016), pp. 1-15, http://dx.doi.org/10.1016/j.future.2015.07.003, electronic access 2015
  2. W. Funika, P. Koperek: Scaling Evolutionary Programming with use of Apache Spark. Accepted for publication in Computer Science (AGH), 17(1):69-82, 2300-7036, 2016
  3. P. Faliszewski, I. Rothe, J. Rother, Noncooperative game theory, chapter in: Economics and computation : An introduction to algorithm game theory, computational social choice, and fair division (ed. Jörg Rothe): Springer, 2016
  4. Rafał Wcisło, S. Shea Miller, Witold Dzwinel, PAM: Particle automata model in simulation of Fusarium graminearum pathogen expansion, Journal of Theoretical Biology, vol. 389, 2016, pp. 110 - 122
  5. R. Bredereck, P. Faliszewski, R. Niedermeier, N. Talmon, Large-Scale Election Campaigns: Combinatorial Shift Bribery, Journal of Artificial Intelligence Research, Vol. 55, pp. 603--652, 2016
  6. P. Faliszewski, P. Skowron, A. Slinko, N. Talmon, Multiwinner Analogues of the Plurality Rule: Axiomatic and Algorithmic Perspectives, Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, pp. 482--488, February 2016.
  7. R. Bredereck, P. Faliszewski, R. Niedermeier, N. Talmon, Complexity of Shift Bribery in Committee Elections, Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, pp. 2452--2458, February 2016.
  8. M. Bubak, B. Baliś, D. Harężlak, M. Kasztelnik, P. Nowakowski, T. Bartyński, T. Gubała, M. Malawski, M. Pawlik, B. Wilk, The ISMOP IT Platform for Smart Levee Monitoring and Flood Decision Support, in: KU KDM 2016 : ninth ACC Cyfronet AGH users' conference : Zakopane, 16-18 Mar, 2016 : proceedings. — Kraków : ACK Cyfronet AGH, [2016], pp. 35-36
  9. P. Nowakowski, B. Wilk, B. Baliś, M. Bubak, Reliable Data Storage for Smart Levees, in: KU KDM 2016 : ninth ACC Cyfronet AGH users' conference : Zakopane, 16-18 Mar, 2016 : proceedings. — Kraków : ACK Cyfronet AGH, [2016], pp. 37-38
  10. M. Malawski, B. Baliś, T. Bartyński, M. Pawlik, M. Kasztelnik, M. Bubak, Optimization of Execution of Deadline-Constrained Bag-of-Task Application for Flood Risk Assessment, in: KU KDM 2016 : ninth ACC Cyfronet AGH users' conference : Zakopane, 16-18 Mar, 2016 : proceedings. — Kraków : ACK Cyfronet AGH, [2016], pp. 39-40
  11. D. Haręźlak, M. Kasztelnik, B. Wilk, B. Balis, M. Bubak: Data processing and presentation in a decision support system for levees monitoring, in: KU KDM 2016 : ninth ACC Cyfronet AGH users' conference : Zakopane, 16-18 Mar, 2016 : proceedings. — Kraków : ACK Cyfronet AGH, [2016], pp. 41-42
  12. W. Jarosz, J. Mościcki and M. Bubak, A Study of Optimizations for HTTP/WebDav Synchronization Protocols, in: KU KDM 2016 : ninth ACC Cyfronet AGH users' conference : Zakopane, 16-18 Mar, 2016 : proceedings. — Kraków : ACK Cyfronet AGH, [2016], pp. 43-44
  13. M. Liszcz, W. Funika, Ł. Żytniak, TangoJS – a Web-Based Interface for TANGO Control System, in: KU KDM 2016 : ninth ACC Cyfronet AGH users' conference : Zakopane, 16-18 Mar, 2016 : proceedings. — Kraków : ACK Cyfronet AGH, [2016], pp. 29-30
  14. D. Burdzy, J. Marchewka, J. Siembab, M. Sumera, W. Funika, Predictive Visualization Tool for Distributed Resources Usage, in: KU KDM 2016 : ninth ACC Cyfronet AGH users' conference : Zakopane, 16-18 Mar, 2016 : proceedings. — Kraków : ACK Cyfronet AGH, [2016], pp. 31-32
  15. W. Baszczyk, W. Funika, Building a High-Level Interface with ESP8266 for Management of Devices in IoT, in: KU KDM 2016 : ninth ACC Cyfronet AGH users' conference : Zakopane, 16-18 Mar, 2016 : proceedings. — Kraków : ACK Cyfronet AGH, [2016], pp. 33-34
  16. J. Kitowski, K. Wiatr, Ł. Dutka, T. Szepieniec, M. Sterzel, R. Pająk, IT Solutions and Hardware Resources Extending the National Grid Infrastructure for Polish Science, in: KU KDM 2016 : ninth ACC Cyfronet AGH users' conference : Zakopane, 16-18 Mar, 2016 : proceedings. — Kraków : ACK Cyfronet AGH, [2016], pp. 1-2
  17. Ł. Rauch, D. Bachniak, M. Pietrzyk, D. Król, R. Słota, J. Kitowski, Computer System for Flexible Design of the Hot Strip Rolling Mill Design Based on Data Farming, in: KU KDM 2016 : ninth ACC Cyfronet AGH users' conference : Zakopane, 16-18 Mar, 2016 : proceedings. — Kraków : ACK Cyfronet AGH, [2016], pp. 49-50
  18. M. Orzechowski, D. Król, R. Słota, J. Kitowski, Modeling of Data Farming Application for Multi-cloud Execution, in: KU KDM 2016 : ninth ACC Cyfronet AGH users' conference : Zakopane, 16-18 Mar, 2016 : proceedings. — Kraków : ACK Cyfronet AGH, [2016], pp. 51-52
  19. M. Żmuda, B. Kryza, M. Wrzeszcz, Ł. Dutka, R. G. Słota, J. Kitowski, Implementation of Open Data at Global Scale in Low-Trust Environment, in: KU KDM 2016 : ninth ACC Cyfronet AGH users' conference : Zakopane, 16-18 Mar, 2016 : proceedings. — Kraków : ACK Cyfronet AGH, [2016], pp. 53-54
  20. P. Faliszewski, J. Sawicki, R. Schaefer, M. Smolka, Multiwinner Voting in Genetic Algorithms for Solving Ill-Posed Global Optimization Problems, Proceedings of the Nineteenth European Conference on Applications of Evolutionary Computation (Lecture Notes in Computer Science #9597), April 2016.
  21. P. Faliszewski, J. Rothe, Control and Bribery in Voting, chapter in Handbook of Computational Social Choice (red. F. Brandt, V. Conitzer, U. Endriss, J. Lang, A. D. Procaccia). pp. 146--168, Cambridge University Press, April 2016.
  22. P. Faliszewski, A. Slinko, K. Stahl, N. Talmon, Achieving Fully Proportional Representation by Clustering Voters, Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), pp. 296--304, Maj 2016.
  23. A. Kaczmarczyk, P. Faliszewski, Algorithms for Destructive Shift Bribery, Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), pp. 305--313, Maj 2016.
  24. Bartosz Baliś, Kamil Figiela, Maciej Malawski, Maciej Pawlik, and Marian Bubak, A Lightweight Approach for Deployment of Scientific Workflows in Cloud Infrastructures, in: R. Wyrzykowski, et al., (eds.), Proc. of Parallel Processing and Applied Mathematics Conf., PPAM 2015, Kraków, Sept. 6–9, 2015, Lecture Notes in Computer Science, vol. 9573, Springer 2016,  pp.281-290
  25. Katarzyna Rycerz and Marian Bubak, Using Akka Actors for Managing Iterations in Multiscale Applications,   in: R. Wyrzykowski, et al., (eds.), Proc. of Parallel Processing and Applied Mathematics Conf., PPAM 2015, Kraków, Sept. 6–9, 2015, Lecture Notes in Computer Science, vol. 9573, Springer 2016, pp.332-341
  26. Wlodzimierz Funika and Pawel Koperek, Towards a Scalable Distributed Fitness Evaluation Service, in: R. Wyrzykowski, et al., (eds.), Proc. of Parallel Processing and Applied Mathematics Conf., PPAM 2015, Kraków, Sept. 6–9, 2015, Lecture Notes in Computer Science, vol. 9573, Springer 2016,  pp.493-502
  27. Wojciech Czech, Wojciech Mielczarek, and Witold Dzwinel, Comparison of Large Graphs Using Distance Information, in: R. Wyrzykowski, et al., (eds.), Proc. of Parallel Processing and Applied Mathematics Conf., PPAM 2015, Kraków, Sept. 6–9, 2015, Lecture Notes in Computer Science, vol. 9573, Springer 2016, pp.195-206
  28. Daniel Bachniak , Jakub Liput, Łukasz Rauch, Renata Słota and Jacek Kitowski, Massively Parallel Approach to Sensitivity Analysis on HPC Architectures by Using Scalarm Platform, in: R. Wyrzykowski, et al., (eds.), Proc. of Parallel Processing and Applied Mathematics Conf., PPAM 2015, Kraków, Sept. 6–9, 2015, Lecture Notes in Computer Science, vol. 9573, Springer 2016,  pp.172-181
  29. D. Bachniak, Ł. Rauch, D. Król, J. Liput, R. Słota, J. Kitowski, M. Pietrzyk, Sensitivity analysis on HPC systems with Scalarm platform, Concurrency and Computation: Practice and Experience, 2016, doi: 10.1002/cpe.4025.
  30. Jacek Kitowski, Kazimierz Wiatr, Lukasz Dutka, Maciej Twardy, Tomasz Szepieniec, Mariusz Sterzel, Renata Słota, and Robert Pajak, Distributed Computing Instrastructure as a Tool for e-Science, in: R. Wyrzykowski, et al., (eds.), Proc. of Parallel Processing and Applied Mathematics Conf., PPAM 2015, Kraków, Sept. 6–9, 2015, Lecture Notes in Computer Science, vol. 9573, Springer 2016, pp.271-280
  31. Michal Wrzeszcz, Krzysztof Trzepla, Rafał Słota, Konrad Zemek, Tomasz Lichoń, Łukasz Opioła, Darin Nikolow, Łukasz Dutka, Renata Słota, and Jacek Kitowski, Metadata Organization and Management for Globalization of Data Access with Onedata, in: R. Wyrzykowski, et al., (eds.), Proc. of Parallel Processing and Applied Mathematics Conf., PPAM 2015, Kraków, Sept. 6–9, 2015, Lecture Notes in Computer Science, vol. 9573, Springer 2016,  pp. 312-321
  32. Bartosz Kryza and Jacek Kitowski, Hypergraph Based Abstraction for File-Less Data Management, in: R. Wyrzykowski, et al., (eds.), Proc. of Parallel Processing and Applied Mathematics Conf., PPAM 2015, Kraków, Sept. 6–9, 2015, Lecture Notes in Computer Science, vol. 9573, Springer 2016,  pp. 322-331
  33. Adrian Kłusek, Witold Dzwinel, Arkadiusz Z. Dudek, Computer simulation of necrosis in melanoma cancer, SummerSim-SCSC 2016 July 24-27 Montreal, Quebec, Canada, At Montreal, Quebec, Canada, (online source)
  34. Witold Dzwinel · Adrian Kłusek · Oleg V Vasilyev, Supermodeling in simulation of melanoma progression, International Conference on Computational Science, ICCS 2016, At San Diego, US, Procedia Computer Science 80, pp. 999-1010
  35. Witold Dzwinel, Rafał Wcisło and Wojciech Czech, A fast force-directed method for interactive visualization of complex network, Journal of Computational Science, Elsevier, 2016
  36. Witold Dzwinel, Rafał Wcisło, Dave A. Yuen, Shea Miller, PAM: A concept of Particle Automata Model, ACM Transactions on Modeling and Computer Simulation, 02/2016; 26(3):A20:1-21. DOI: 10.1145/2827696
  37. D. Król, R. Słota, J. Kitowski, Ł. Rauch, K. Bzowski, M. Pietrzyk, "Model-based approach to study hot rolling mills with data farming", in: T. Claus, et al. (eds.), Proc. of 30th European Conf. on Modelling and Simulations, Regensburg, May 31-June 3, 2016, OTH Regensburg 2016, pp. 495-501.
  38. Marcin Kuta, Bartłomiej Puto, Jacek Kitowski, Authorship Attribution of Polish Newspaper Articles, in: Leszek Rutkowski, Marcin Korytkowski, et al. (eds.), Proc. of Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II, Lecture Notes in Artificial Intelligence, vol. 9693, Springer 2016, pp. 474-483
  39. D. Król, R. Słota, J. Kitowski, Parameter studies on heterogeneous computing infrastructures with the Scalarm platform, in: Waleed W. Smari, et al. (eds.), Proceedings of the 2016 International Conference on High Performance Computing & Simulation (HPCS 2016), Innsbruck, Austria, July 18 – 22, 2016, pp. 9 – 17, ISBN: 978-1-5090-2086-7.
  40. P. Gaikwad, A. Mandal, P. Ruth, G. Juve, D. Król, E. Deelman, Anomaly Detection for Scientific Workflow Applications on Networked Clouds, in: Waleed W. Smari, et al. (eds.), Proceedings of the 2016 International Conference on High Performance Computing & Simulation (HPCS 2016), Innsbruck, Austria, July 645 – 652, 2016, pp. 9 – 17, ISBN: 978-1-5090-2086-7.
  41. Ł. RAUCH, K. BZOWSKI, R. Kuziak, J. KITOWSKI, M. PIETRZYK, The off-line computer system for design of the hot rolling and laminar cooling technology for steel strips, in: Machines and manufacturing optimization : XXVII CIRP sponsored conference on Supervising and diagnostics of machining systems, Karpacz, Poland 13th–17th March 2016, pp. 13-14
  42. D. Król, E. Deelman, R. F. Da Silva, G. Juve, J. Kitowski, M. Rynge and K, Vahi, Science Automation in Practice - Performance Data Farming in Workflows, in: Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, Berlin, Germany, September 6 - 9, 2016.
  43. D. Król, R. Ferreira da Silva, E. Deelman, V. Lynch, Workflow Performance Profiles: Development and Analysis, in: Proceedings of the Fourteenth International Workshop Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPAR 2016), 22nd International European Conference on Parallel and Distributed Computing (Euro-Par 2016), Grenoble, France, August 23, 2016.
  44. P. Faliszewski, M. Smołka, R. Schaefer, M. Paszynski, On the Computational Cost and Complexity of Stochastic Inverse Solvers, Computer Science, Vol. 17(2), pp. 225-264, 2016
  45. P. Skowron, P. Faliszewski, J. Lang, Finding a Collective Set of Items: From Proportional Multirepresentation to Group Recommendation, Artificial Intelligence, Vol. 241, pp. 191--216, 2016.
  46. T. Miąsko, P. Faliszewski, The Complexity of Priced Control in Elections, Annals of Mathematics and Artificial Intelligence, Vol. 77(3-4), pp. 225--250, 2016.
  47. R. Bredereck, J. Chen, P. Faliszewski, A. Nichterlein, R. Niedermeier, Prices Matter for the Parameterized Complexity of Shift Bribery, Information and Computation, Vol. 251, pp. 140--160, 2016.
  48. T. Put, P. Faliszewski, The Complexity of Voter Control and Shift Bribery Under Parliament Choosing Rules, Transactions on Computational Collective Intelligence, Vol. 23, pp. 29--50, 2016.
  49. P. Faliszewski, P. Skowron, A. Slinko, N. Talmon, Committee Scoring Rules: Axiomatic Classification and Hierarchy, 25th International Joint Conference on Artificial Intelligence (IJCAI-16), pp. 250--256, July 2016.
  50. P. Faliszewski, L. Gourves, J. Lang, J. Lesca, J. Monnot, How Hard Is It for a Party to Nominate an Election Winner?, 25th International Joint Conference on Artificial Intelligence (IJCAI-16), pp. 257--263, July 2016.
  51. P. Faliszewski, A. Slinko, N. Talmon, Voting-Based Group Formation, 25th International Joint Conference on Artificial Intelligence (IJCAI-16), pp. 243--249, July 2016.
  52. P. Faliszewski, A. Muscholl, R. Niedermeier, 41st International Symposium on Mathematical Foundations of Computer Science, MFCS 2016, August 2016 (LIPIcs 58, Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik 2016, ISBN 978-3-95977-016-3).
  53. Ł. Dutka, M. Wrzeszcz, R. Słota, M. Orzechowski, J. Kitowski, Onedata: High-performance Globally Distributed Data Access
    Platform, in: B. Chan (ed.), Book of abstracts of the 2016 Cloud Services for Synchronisation and Sharing conference (CS3), 18-19 January 2016, Zürich, ETH, 2016, pp. 14
  54. A. Kłusek, P. Topa, J. Wąs,  R. Lubaś, An implementation of the Social Distances Model using multi-GPU systems, The International Journal of High Performance Computing Applications, 2016, vol. 32 iss. 4, pp. 482–495, DOI: 10.1177/1094342016679492
  55. G. A. Trunfio, P. Topa, J. Wąs, A new algorithm for adapting the configuration of subcomponents in large-scale optimization with cooperative coevolution, Information Sciences, Volume 372, 1 December 2016, Pages 773-795, ISSN 0020-0255, http://dx.doi.org/10.1016/j.ins.2016.08.080.
  56. P. Topa, Ł. Faber, J. Tyszka, M. Komosinski, Modelling ecology and evolution of Foraminifera in the agent-oriented distributed platform, Journal of Computational Science, Available online 8 August 2016, ISSN 1877-7503, http://dx.doi.org/10.1016/j.jocs.2016.07.009.
  57. M. Komosiński, A. Mensfelt, P. Topa, J. Tyszka, Application of a morphological similarity measure to the analysis of shell morphogenesis in foraminifera, in: A. Gruca, et al. (eds.), proc. of Man-Machine interactions 4 : 4th International Conference on Man-Machine Interactions, ICMMI 2015 : Kocierz Pass, Poland, October 6–9, 2015, Advances in Intelligent Systems and Computing, vol. 391, Springer, 2016, 215–224
  58. P. Topa, M. Komosiński, M. Bassara, J. Tyszka, eVolutus: a configurable platform designed for ecological and evolutionary experiments tested on foraminifera, in: A. Gruca, et al. (eds.), proc. of Man-Machine interactions 4 : 4th International Conference on Man-Machine Interactions, ICMMI 2015 : Kocierz Pass, Poland, October 6–9, 2015, Advances in Intelligent Systems and Computing, vol. 391, Springer, 2016, 269–278
  59. P. Topa, M. Komosinski, J. Tyszka, A. Mensfelt, S. Rokitta, A. Byrski, M. Bassara, eVolutus: a new platform for evolutionary experiments, in: R. Wyrzykowski, et al., arallel Processing and Applied Mathematics :11th international conference, PPAM 2015 : Krakow, Poland, September 6–9, 2015, revised selected papers, Pt. 2, Lecture Notes in Computer Science, Springer, 2016, pp. 578–580
  60. A. Kłusek, Paweł Topa, J. Wąs, Towards effective GPU implementation of social distances model for mass evacuation, in: R. Wyrzykowski, et al., arallel Processing and Applied Mathematics :11th international conference, PPAM 2015 : Krakow, Poland, September 6–9, 2015, revised selected papers, Pt. 2, Lecture Notes in Computer Science, Springer, 2016, pp. 558–559
  61. M. Żmuda, Ł. Opioła, Ł. Dutka, R. Słota, J. Kitowski, Kademlia with Consistency Checks as a Foundation of Borderless Collaboration in Open Science Services, in: proc. of 5th International Young Scientist Conference on Computational Science, YSC 2016, 26-28 October 2016, Krakow, Poland, Procedia Computer Science, Volume 101, 2016, pp. 304–312
  62. W. Czech, W. Mielczarek, W. Dzwinel, Distributed computing of distance‐based graph invariants for analysis and visualization of complex networks, in Concurrency and Computation Practice and Experience · December 2016, Published online in Wiley InterScience (www.interscience.wiley.com), DOI: 10.1002/cpe.4054
  63. W. Dzwinel, A. Kłusek, O. V. Vasilyev, Supermodeling in Simulation of Melanoma Progression, in: Procedia Computer Science 80:999-1010 · December 2016, DOI: 10.1016/j.procs.2016.05.396
  64. Ł Rauch, K. Bzowski, R. Kuziak, J. Kitowski, M. Pietrzyk, The Off-Line Computer System for Design of the Hot Rolling and Laminar Cooling Technology for Steel Strips, in: Journal of Machine Engineering, Vol. 16, No. 2, 2016
  65. D. Król, R. Słota, Jacek Kitowski, Parameter studies on heterogeneous computing infrastructures with the Scalarm platform, 2016 International Conference on High Performance Computing & Simulation (HPCS), 18-22 July 2016, 2016, pp: 9 - 17
  66. A. Mandal. P. Ruth, G. Juve., D. Król, E. Deelman, Anomaly detection for scientific workflow applications on networked clouds Prathamesh Gaikwad, 2016 International Conference on High Performance Computing & Simulation (HPCS), 18-22 July 2016, 2016, pp: 645 - 652
  67. A. Mandal, P. Ruth, I. Baldin, D. Król, et. al., Toward an End-to-End Framework for Modeling, Monitoring and Anomaly Detection for Scientific Workflows, 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2016 pp: 1370 - 1379, DOI: 10.1109/IPDPSW.2016.202
  68. T. Jurczyk, B. Głut, Tree Structures for Adaptive Control Space in 3D Meshing, Computer Science 17(4) 2016, pp. 541-560, http://dx.doi.org/10.7494/csci.2016.17.4.541
  69. P. Bryk, M. Malawski, Gideon Juve, Ewa Deelman: Storage-aware Algorithms for Scheduling of Workflow Ensembles in Clouds. J. Grid Comput. 14(2), 2016, pp.359-378
  70. M. Wrzeszcz, J Otfinowski, R. Słota, J. Kitowski, Computer Aided Distributed Post-stroke Rehabilitation Environment, Computer Science 17 (1) 2016, pp. 3-21
  71. R. Cushing, A. Belloum, M. Bubak, C. de Laat: Towards a data processing plane: An automata-based distributed dynamic data processing model. Future Generation Comp. Syst. 59, 2016, pp. 21-32
  72. S. Koulouzis, A. S. Z. Belloum, M. Bubak, Z. Zhao, M. Zivkovic, C. T. A. M. de Laat: SDN-aware federation of distributed data. Future Generation Comp. Syst. 56, 2016, pp.64-76
  73. S. Koulouzis, A. Belloum, M. Bubak, P. Lamata, D. Nolte, D. Vasyunin, C. de Laat: Distributed Data Management Service for VPH Applications. IEEE Internet Computing 20(2), 2016, pp. 34-41
  74. B. Baliś: Hyperflow: A model of computation, programming approach and enactment engine for complex distributed workflows. Future Generation Computer Systems, 55, 2016, pp. 147 - 162
  75. T. Dziok, K. Figiela, M. Malawski, Adaptive Multi-level Workflow Scheduling with Uncertain Task Estimates, in: R. Wyrzykowski, E. Deelman, J. Dongarra, K. Karczewski, J. Kitowski, K. Wiatr (eds.), Parallel Processing and Applied Mathematics - 11th International Conference, PPAM 2015, Krakow, Poland, September 6-9, 2015. Revised Selected Papers, Part II. Lecture Notes in Computer Science 9574, Springer 2016, ISBN 978-3-319-32151-6 2015, pp. 90-100
  76. P. Wiewiura, M. Malawski, M. Piwowar, Distributed Execution of Dynamically Defined Tasks on Microsoft Azure, in: R. Wyrzykowski, E. Deelman, J. Dongarra, K. Karczewski, J. Kitowski, K. Wiatr (Eds.), Parallel Processing and Applied Mathematics - 11th International Conference, PPAM 2015, Krakow, Poland, September 6-9, 2015. Revised Selected Papers, Part I. Lecture Notes in Computer Science 9574, Springer 2016, ISBN 978-3-319-32151-6 2015, pp. 291-301
  77. Kyriakos Kritikos, Tom Kirkham, Bartosz Kryza, Philippe Massonet, Security Enforcement for Multi-Cloud Platforms - The Case of PaaSage, in proc. of 1st International Conference on Cloud Forward: From Distributed to Complete Computing, Procedia Computer Science Volume 68, 2015, Elsevier, 2016,  pp. 103–115
  78. Tomasz Dziok, Multi-stage Optimization of Workflow Execution in Clouds, Master of Science Thesis supervised by Maciej Malawski; AGH University of Science and Technology, Krakow, Poland (2016)
  79. G. Gurgul, M. Łoś, A. Kłusek, W. Dzwinel, Fast isogeometric L2 projections algorithm with GPU accelerators for modeling of tumor growth, in proc. of USACM thematic conference on isogeometric analysis and meshfree methods, 2016 (online source)
  80. K. Grzegorczyk, M. Kurdziel, P. I. Wójcik "Encouraging orthogonality between weight vectors in pretrained deep neural networks", Neurocomputing, vol. 202, 84-90, 2016, https://doi.org/10.1016/j.neucom.2016.03.044
  81. W. Funika, P. Koperek, Spatial-oriented neural network encoding for neuro-evolution, in: M. Bubak, M. Turała, K. Wiatr (Eds.), Proceedings of Cracow Grid Workshop - CGW'16, October 24-26 2016, ACC-Cyfronet AGH, 2016, Krakow
  82. K. Gąsiorowska, D. Trybała,W. Funika, Storage of monitoring data in NoSQL database, in: M. Bubak, M. Turała, K. Wiatr (Eds.), Proceedings of Cracow Grid Workshop - CGW'16, October 24-26 2016, ACC-Cyfronet AGH, 2016, Krakow
  83. A. Byczyńska, A. Gontarz, W. Funika, Text comparison: similarity detection with determination of possible source of plagiarism, in: M. Bubak, M. Turała, K. Wiatr (Eds.), Proceedings of Cracow Grid Workshop - CGW'16, October 24-26 2016, ACC-Cyfronet AGH, 2016, Krakow
  84. W. Czech, R. Łazarz, A method of analysis and visualization of structured datasets based on centrality information, in: L. Rudkowski, et al., (eds.), Proc. of Artificial intelligence and soft computing: 15th international conference, ICAISC 2016 : Zakopane, Poland, June 12–16, 2016, Springer International Publishing, 2016, LLiAN, pp. 429-441

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