2017

  1. M. Łoś, M. Paszyński, A. Kłusek, W. Dzwinel, Application of fast isogeometric L2 projection solver for tumor growth simulations, in: Computer Methods in Applied Mechanics and Engineering · January 2017, DOI: 10.1016/j.cma.2016.12.039
  2. I. Schlotter, P. Faliszewski, E. Elkind, Campaign Management Under Approval-Driven Voting Rules, Algorithmica, Vol. 77(1), pp. 84-115, 2017.
  3. P. Faliszewski, J. Sawicki, R. Schaefer, M. Smółka, Multiwinner Voting in Genetic Algorithms, IEEE Intelligent Systems, Vol. 32(1), pp. 40-48, 2017.
  4. E. Elkind, P. Faliszewski, J.-F. Laslier, P. Skowron, A. Slinko, N. Talmon, What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain, Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, pp. 494--501, February 2017.
  5. J. Kudzia, R. Słota, T. Lichoń, M. Wrzeszcz, Ł. Dutka, R. G. Słota, J. Kitowski, Using Onedata for Global Sharing and Processing of Legacy Large Data Sets, in: KU KDM 2017 : tenth ACC Cyfronet AGH users' conference : Zakopane, 8-10 Mar, 2017 : proceedings. — Kraków : ACK Cyfronet AGH, [2017], pp. 49-50
  6. D. Król, R. Słota, J. Kitowski, Parameter studies on heterogeneous computing infrastructures with the Scalarm platform, in: KU KDM 2017 : tenth ACC Cyfronet AGH users' conference : Zakopane, 8-10 Mar, 2017 : proceedings. — Kraków : ACK Cyfronet AGH, [2017], pp. 55-56
  7. E. Elkind, P. Faliszewski, P. Skowron, A. Slinko, Properties of Multiwinner Voting Rules, Social Choice and Welfare, Vol. 48(3), pp. 599--632, 2017.
  8. J. Sawicki, M. Smolka, M. Los, R. Schaefer, P. Faliszewski, Two-Phase Strategy Managing Insensitivity in Global Optimization, in proceedings of EvoApplications, pp. 266--281, April 2017.
  9. K. Magiera, P. Faliszewski, How hard is control in single-crossing elections?, Autonomous Agents and Multiagent Systems, Vol. 31(3), pp. 606--627, 2017
  10. W. Dzwinel, R. Wcisło, W. Czech,  A fast force-directed method for interactive visualization of complex networks, Journal of Computational Science 20 (1), April 2017
  11. W. Dzwinel, A. Kłusek, M. Paszyński, A concept of a prognostic system for personalized anti-tumor therapy based on supermodeling, International Conference on Computational Science ICCS 2017, Zurich, Procedia Computer Science. 108C. . 10.1016/j.procs.2017.05.013.
  12. W. Czech, W. Mielczarek, W. Dzwinel, Distributed computing of distance‐based graph invariants for analysis and visualization of complex network, Concurrency and Computation Practice and Experience 29(9),  April 2017
  13. W. Dzwinel, R. Wcisło, M. Strzoda, Visualization of the network of historical events, 13h International Conference on Machine Learning and Data Mining MLDM, New York , July 15-20, 2017, working paper
  14. M. Łoś, M. Paszyński, A. Kłusek, W. Dzwinel, Application of fast isogeometric L2 projection solver for tumor growth simulations, Computer Methods in Applied Mechanics and Engineering 316 · January 2017
  15. W. Dzwinel, A. Kłusek, O. V. Vasilyev, Supermodeling in Simulation of Melanoma Progression, in: proc. of The International Conference on Computational Science (ICCS 2016), Volume 80, Procedia Computer Science, 2016, pp. 999–1010
  16. M. Antkiewicz, M. Kuta, J.  Kitowski, Author Profiling with Classification Restricted Boltzmann Machines, in: L .Rutkowski,  M. Korytkowski, R. Scherer, R. Tadeusiewicz, Ryszard, L. A. Zadeh, J. M. Zurada (eds), proc. of Artificial Intelligence and Soft Computing: 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017,  LNAI vol. 10245, Springer, 2017
  17. D. Bachniak, Ł. Rauch, D. Król, J. Liput, R. Słota, J. Kitowski, M. Pietrzyk, Sensitivity analysis on HPC systems with Scalarm platform, Concurrency Computat.: Pract. Exper. 2017; 29:e4025, pubblished on-line, 10.1002/cpe.4025
  18. P. Faliszewski, P. Skowron, N. Talmon, Bribery as a Measure of Candidate Success: Complexity Results for Approval-Based Multiwinner Rules, in proceedings of AAMAS-2017, Maj 2017, pp. 6-14.
  19. W. Dzwinel, A. Kłusek, M. Paszyński, A concept of a prognostic system for A concept of a prognostic system for personalized anti-tumor therapy based on supermodeling, in: proc. of International Conference on Computational Science, ICCS 2017, 12-14 June 2017, Zurich, Switzerland, Procedia Computer Science, 108C (2017), pp. 1832–1841
  20. B. Baliś , M. Bubak , D. Haręźlak , P. Nowakowski , M.Pawlik, B. Wilk, Towards an operational database for real-time environmental early warning systems, in: proc. of International Conference on Computational Science, ICCS 2017, 12-14 June 2017, Zurich, Switzerland, Procedia Computer Science, 108C (2017), pp 2250–2259
  21. B, Baliś, T. Bartyński, M. Bubak, D. Haręźlak, M. Kasztelnik, M. Malawski, P. Nowakowski, M. Pawlik, B. Wilk, Smart levee monitoring and flood decision support system: reference architecture computing management, in: proc. of International Conference on Computational Science, ICCS 2017, 12-14 June 2017, Zurich, Switzerland, Procedia Computer Science, 108C (2017), pp. 2220–2229
  22. M. Wrzeszcz, Ł. Opioła, K. Zemek, B. Kryza, Ł. Dutka, R. Słota, J. Kitowski, Effective and Scalable Data Access Control in Onedata Effective and Scalable Data Control in Onedata Large Distributed Virtual File System, in: proc. of International Conference on Computational Science, ICCS 2017, 12-14 June 2017, Zurich, Switzerland, Procedia Computer Science, 108C (2017), pp. 445-454
  23. L. Kangkang, M. Malawski, J. Nabrzyski, Topology-aware Topology-aware Job Hard Allocation in 3D Torus-based HPC Systems with Job Priority Constraints in: proc. of International Conference on Computational Science, ICCS 2017, 12-14 June 2017, Zurich, Switzerland, Procedia Computer Science, 108C (2017), pp. 515–524
  24. H. Aziz, E. Elkind, P. Faliszewski, M. Lackner, P. Skowron, The Condorcet Principle for Multiwinner Elections: From Shortlisting to Proportionality, in Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-2017), pp. 84--90, August 2017.
  25. P. Faliszewski, P. Skowron, A. Slinko, N. Talmon, Multiwinner Rules on Paths From k-Borda to Chamberlin-Courant, in Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-2017), pp. 192--198, August 2017.
  26. K. Magiera, P. Faliszewski, Recognizing Top-Monotonic Preference Profiles in Polynomial Time, in Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-2017), pp. 324--330, August 2017.
  27. P. Faliszewski, Committee Scoring Rules: A Call to Arms, in Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-2017), pp. 5121--5125, August 2017
  28. R. Bredereck, P. Faliszewski, A. Kaczmarczyk, R. Niedermeier, P. Skowron, N. Talmon, Robustness Among Multiwinner Voting Rules, in Proceedings of the Tenth International Symposium on Algorithmic Game Theory (SAGT-2017), pp. 80--92, September 2017
  29. M. Kuta, M. Morawiec, J. Kitowski, Sentiment Analysis with Tree-Structured Gated Recurrent Units, . In: Ekštein K., Matoušek V. (eds) Text, Speech, and Dialogue. TSD 2017. Lecture Notes in Computer Science, vol 10415. Springer, Cham, 2017, pp 74-82
  30. P. Nowakowski , M. Bubak, T. Bartyński, T. Gubała, D. Harężlak, M. Kasztelnik, M. Malawski, J. Meizner, Cloud computing infrastructure for the VPH community, Journal of Computational Science, 2017 (in press)
  31. W. Dzwinel, R.  Wcisło, S. Matwin, ivhd: A fast and simple algorithm for embedding large and high-dimensional data. 2017 . 10.13140/RG.2.2.28959.15520/2
  32. W. Dzwinel, R. Wcisło,  ivhd: A robust linear-time and memory efficient method for visual exploratory data analysis. 2017. 10.13140/RG.2.2.32288.99843/1
  33. W. Dzwinel, R. Wcisło, M. Strzoda, ivga: Visualization of the network of historical events. 2017 (working paper)
  34. W. Dzwinel, R. Wcisło, W. Czech, Ivga: A fast force-directed method for interactive visualization of complex networks. Journal of Computational Science. 21. 2017, pp. 448-459. 10.1016/j.jocs.2016.09.001
  35. W. Dzwinel, A. Kłusek, R. Wcisło, M. Panuszewska, P. Topa, Continuous and discrete models of melanoma progression simulated in multi-GPU environment. 2017 . 10.13140/RG.2.2.35287.68007
  36. A. Kłusek, W. Dzwinel,  Multi-GPU k-Nearest Neighbor search in the context of data embedding. 2017. 10.13140/RG.2.2.17733.04326/1 
  37. A. H. Eckes, T. Gubała, P. Nowakowski, T. Szymczyszyn, R. Wells, J. A. Irwin, C. Horro, J. M. Hancock, G. King, S. C. Dyer, W. Jurkowski: Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data [version 1; referees: 3 approved]. F1000Research 2017, 6:465 (doi: 10.12688/f1000research.11301.1) (2017)
  38. D. Król, R. F. da Silva, E. Deelman, V. E. Lynch, Workflow Performance Profiles: Development and Analysis, in: F. Desprez, P.-F. Dutot, et al. (Eds.), proc. of Euro-Par 2016 International Workshops, Grenoble, France, August 24-26, 2016, LNCS 10104, Springer, 2017, pp. 108-120
  39. P. Faliszewski, P. Skowron, A. Slinko, N. Talmon. Multiwinner Voting: A New Challenge for Social Choice Theory. In Ulle Endriss (editor), Trends in Computational Social Choice, chapter 2, pages 27–47. AI Access, 2017.
  40. P. Skowron, P. Faliszewski, Chamberlin--Courant Rule with Approval Ballots: Approximating the MaxCover Problem with Bounded Frequencies in FPT Time, Journal of Artificial Intelligence Research, Vol. 60, pp. 687--716, 2017.

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