Institute of Information and Communication Technologies - Bulgarian Academy of Sciences

Publications

  1. K. D. Naydenov, M. K. Naydenov, A. Alexandrov, T. Gurov, S. Ivanovska and et al., Speciation and historical migration pattern interaction: examples from P. nigra and P. sylvestris phylogeography, European Journal of Forest Research, Springer, vol. 142 (1), pp.1- 26, 2023, doi.org/10.1007/s10342-022-01513-0, (Q1, IF:3.140 (2021)).
  2. E. Atanassov, T. Gurov, D. Georgiev, S. Ivanovska, On the Use of Low-discrepancy Sequences in the Training of Neural Networks. In: Lirkov, I., Margenov, S. (eds) Large-Scale Scientific Computing. LSSC 2021. Lecture Notes in Computer Science, vol 13127. Springer, Cham., pp 421-430, 2022. doi.org/10.1007/978-3-030-97549-4_48 (SJR(2021)=0.407)
  3. E. Atanassov, A. Karaivanova, S. Ivanovska, M. Durchova, A Monte Carlo Method for Image Classification Using SVM, Digital Presentation and Preservation of Cultural and Scientific Heritage, vol. 11, pp.237-244, Sofia: IMI-BAS, 2021, ISSN: 1314-4006. link
  4. E. Atanassov, S. Ivanovska,A. Karaivanova, (2020) Optimization of the Direction Numbers of the Sobol Sequences. In: Dimov I., Fidanova S. (eds) Advances in High Performance Computing. HPC 2019. Studies in Computational Intelligence, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-55347-0_13.
  5. E. Atanassov, A. Karaivanova, S. Ivanovska, M. Durchova, Quasi-Monte Carlo simulation of fractional Brownian motion for option pricing using GPUs, PROCEEDINGS OF INTERNATIONAL WORKSHOP NSFDE&A'20, pp. 7-11, 2020, ISBN 978-619-7320-09-1 (eBook) .
  6. E. Atanassov, T. Gurov, M. Durchova, S. Ivanovska, A. Karaivanova, Study of Scalability and Energy Efficiency of QMC Algorithmd on Hybrid HPC Systems. Proceedings of Int. Conf. "Numerical methods for Scientific Computations and Advanced Applications" (NMSCAA'18 ), ed. Kr. Georgiev, Fastprint, 2018, pp. 6-9, ISBN:978-954-91700-7-8.
  7. E. Atanassov, T. Gurov, S. Ivanovska, A. Karaivanova, T. Simchev, On the Parallel Implementation of Quasi-Monte Carlo Algorithms, LNCS 2018, volume 10665, 2018, pp. 258-265, DOI 10.1007/978-3-319-73441-5, SJR =0.315 (2016).
  8. A. Karaivanova, V. Alexandrov, T. Gurov, S. Ivanovska, On the Monte Carlo Matrix Computations on Intel MIC Architecture , CYBERNETICS AND INFORMATION TECHNOLOGIES, Volume 17, No 5, 2017, pp. 49-59, Print ISSN: 1311-9702; Online ISSN: 1314-4081 DOI: 10.1515/cait-2017-0054, SJR: 0.203 .
  9. E. Atanassov, T. Gurov, S. Ivanovska and A. Karaivanova, "Parallel Monte Carlo on Intel MIC Architecture", Procedia Computer Science, Volume 108, 2017, Pages 1803-1810, (Open Access), https://doi.org/10.1016/j.procs.2017.05.149.
  10. E. Atanassov, M. Durchova, T., Gurov, S. Ivanovska, A. Karaivanova, On Improving the QRN Generation Performance on Intel MIC Architectures. Proceedings of Int. Conf. "Numerical methods for Scientific Computations and Advanced Applications", ed. Kr. Georgiev, Fastprint, 2016, ISBN:978-619-7223-18-7, pp.7-10.
  11. E. Atanassov, T. Gurov, A. Karaivanova, S. Ivanovska, M. Durchova and D. Dimitrov, On the Parallelization Approaches for Intel MIC Architecture, Citation: AIP Conf. Proc. 1773, 070001 (2016), http://dx.doi.org/10.1063/1.4964983, SJR=0.198. (2015).
  12. V. Alexandrov, O. Esquivel-Flores, S. Ivanovska, A. Karaivanova, On the Preconditioned quasi-Monte Carlo Algorithm for Matrix Computations, Springer LNCS 9374, 2015, pp. 157-165, 2015, SJR 0.339, (2014).
  13. E. Atanassov, T. Gurov, A. Karaivanova, S. Ivanovska, M. Durchova, D. Georgiev, D. Dimitrov, Tuning for Scalability on Hybrid HPC Cluster, In: Angela Slavova (Ed.) Mathematics in Industry, Cambridge Scholar Publishing, 64-77, 2014, ISBN (10): 1-4438-6401-3, ISBN (13): 978-1-4438-6401-5.
  14. A. Karaivanova, S. Ivanovska, and T. Gurov, Monte Carlo for density reconstruction based on insufficient datať, Procedia Computer Science 12/2015; 51:1782-1790. DOI:10.1016/j.procs.2015.05.390, ScienceDirect and Thomson Reuters Conference Proceedings Citation (former ISI Proceedings) an integrated index within Web of Science, 2015.
  15. T. Gurov, S. Ivanovska, A. Karaivanova, and N. Manev, Monte Carlo Methods Using a New Class of Congruential Generators, L. Kocarev (Ed.), ICT Innovations 2011, Advances in Intelligent Soft Computing, Springer, 2012, Volume 150/2012, pp. 257-267, DOI: 10.1007/978-3-642-28664-3_24, ISSN: 1867-5662.
  16. R. Hristova, S. Ivanovska, M. Durchova, Performance Analysis of the Regional Grid Resources for an Environmental Modeling Application, LSSC 2013, LNCS 8353, pp. 507-514, 2014, DOI: 10.1007/978-3-662-43880-0_58, Springer- Verlag, Berlin, Heidelberg, ISSN: 03029743 ISBN: 978-366243879-4, SJR (2013) : 0.310.
  17. S. Ivanovska, A. Karivanova, and N. Manev, Numerical Integration Using Sequences Generating Permutations, LSSC 2011, LNCS, Springer, 2012, Volume 7116/2012, pp. 455-463, DOI: 10.1007/978-3-642-29843-1_51, ISSN: 0302-9743.
  18. E. Atanassov, S. Ivanovska, Computation and Analysis of Sobol Coefficients for Air Pollution Concentrations over the Territory of Bulgaria, MIPRO 2013, Proceedings of the 36th International Convention,IEEE, pp. 254-257, ISSN: 1847-3946.
  19. E. Atanassov, S. Ivanovska, D. Dimitrov, Parallel implementation of option pricing methods on multiple GPUs, MIPRO, 2012 Proceedings of the 35th International Convention, IEEE, pp.368-373, ISBN: 978-953233072-4.
  20. E. Atanassov, S. Ivanovska, Sensitivity study of heston stochastic volatility model using GPGPU, International Conference on Large-Scale Scientific Computing, pp. 439-446, DOI:10.1007/978-3-642-29843-1_49.
  21. R. Georgieva, S. Ivanovska, Visualization Tool of Sensitivity Studies Results, BGSIAM'11 Proceedings, 2012, pp. 50-55, ISSN: 1313-3357.
  22. T. Gurov, S., Ivanovska, A. Karaivanova, N. Manev, A Study of a New Class of Random Number Generators for Monte Carlo Methods. Journal Information Technologies and Control, 3, 2012, ISSN:1312-2622, pp. 2-7.
  23. K. Shterev, S. Ivanovska, Comparison of some approximation schemes for convective terms for solving gas flow past a square in a microchannel, AIP Conf. Proc. 1487, 2012, pp.79-87, ISSN: 0094243X ISBN: 978-073541099-2.
  24. E. Atanassov, D. Dimitrov, S. Ivanovska, Ef?cient Implementation of the Heston Model Using GPGPU, Monte Carlo Methods and Applications: Proceedings of the 8th IMACS Seminar on Monte Carlo Methods, August 29-September 2, 2011, ISBN: 978-3-11-029358-6.
  25. E. Atanassov, A. Karaivanova, S. Ivanovska, Tuning the Generation of Sobol Sequence with Owen Scrambling. Large-Scale Scientific Computing, 5910, 2010, DOI:10.1007/978-3-642-12535-5_54, pp. 459-466. SJR:0.322(2010).
  26. I. Dimov, R. Georgieva, S. Ivanovska, T. Ostromsky, Z. Zlatev, Studying the sensitivity of pollutants' concentrations caused by variations of chemical rates, Journal of Computational and Applied Mathematics, Vol. 235, Issue 2, 15 November 2010, pp. 391-402, ISSN: 0377-0427, DOI: 10.1016/j.cam.2010.05.041, SJR:0.920(2010), IF: 1.328.
  27. E. Atanassov, T. Gurov, A.Karaivanova, S.Ivanovska, M.Durchova, Using Sobol Sequence in Grid Environment. Proceeding of 32nd International Convention MIPRO/GVS 2009, 1, 2009, ISBN:978-953-233-044-1, pp. 290-294.
  28. E. Atanassov, A. Karaivanova, T.Gurov, S.Ivanovska, M.Durchova, Parallel Quasi-Monte Carlo Integration with Application in Environmental Studies. SEE-GRID-SCI User Forum, 2009, ISBN:978-975-403-510-0, pp. 67-71.
  29. Dimov, I., R. Georgieva, S. Ivanovska, Tz. Ostromsky, Z. Zlatev. Sensitivity Analysis of Air Pollution Models. -In: BGSIAM proceeding of the 3nd Annual Meeting of Bulgarian Section of SIAM. 2009, pp. 28 - 31.ISSN:1313-3357.