- A. Karaivanova, E. Atanassov, T. Gurov, On the HPC/HPDA/AI Competences in Bulgaria, Digital Presentation and Preservation of Cultural and Scientific Heritage, DiPP 2022, vol. 12, pp.291-298, 2022 , doi.org/10.55630/dipp.2022.12.28
- A. Karaivanova, E. Atanassov, T. Gurov , P. Stanchev, G. Simeonov, Bulgarian Contribution to the Open Science Services in NI4OS-Europe, Digital Presentation and Preservation of Cultural and Scientific Heritage, DiPP 2022, vol. 12, pp. 299-306, 2022, doi.org/10.55630/dipp.2022.12.29
- D. Dimov, S. Ivanovska, K. Alexiev, A. Hristov, Anastylosis of Frescos an Optimized Performance on Avitohol HPC, BGSIAM’22 Extended abstracts, Fastumprint, Sofia, 2022, ISSN:ISSN: 1313-3357 (print), ISSN: 1314-7145 (electronic)
- 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)
- P. Stanchev, A. Karaivanova, Y. Zherkova, H. Klisarova, R. Pavlov, G. Simeonov, The 13th National Information Day: Open Science, Open Data, Open Access, Bulgarian Open Science Cloud, Digital Presentation and Preservation of Cultural and Scientific Heritage, DiPP 2022, vol. 12, pp. 309-316, 2022, doi.org/10.55630/dipp.2022.12.30
- S-M. Gurova, A. Karaivanova, Monte Carlo Method for Estimating Eigenvalues Using Error Balancing. In: Lirkov, I., Margenov, S. (eds) Large-Scale Scientific Computing. LSSC 2021. Lecture Notes in Computer Science, vol 13127. Springer, Cham., pp 447–455, 2022 , doi.org/10.1007/978-3-030-97549-4_51 (SJR(2021)=0.407)
- E. Atanassov, Deterministic algorithm for optimising the direction numbers of the Sobol sequence, Proceedings of the 50th Spring Conference of the Union of Bulgarian Mathematicians, 2021 , pp.83-94, 2021, ISSN 1313-3330. link
- E. Atanassov, A. Karaivanova, S. Ivanovska, M. Durchova, A Monte Carlo Method for Image Classification Using SVM, 11th International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage, DiPP 2021 , vol. 11, pp.237-244, 2021, ISSN: 1314-4006. link
- P. Stanchev, H. Ancheva, A. Karaivanova, R. Pavlov, G. Simeonov, The 12th National Information Day: Open Science, Open Data, Open Access, Bulgarian Open Science Cloud, 11th International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage, DiPP 2021, vol. 11, pp.333-340, 2021, ISSN: 1314-4006. link
- S.-M. Gurova, A. Karaivanova, Fast Monte Carlo Method for Condition Number Estimation, 11th International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage, DiPP 2021, vol. 11, pp.247-25, 2021, ISSN: 1314-4006. link
- S.-M. Gurova, COVID-19: Study of the spread of the pandemic in Bulgaria, 22nd European Young Statisticians Meeting – Proceedings, Published by: Department of Psychology & Department of Sociology, School of Social Science, 136, Syggrou Ave 17671 Athens, Greece, pp.40-44, 2021, ISBN: 978-960-7943-23-1. link
- A. Karaivanova, S. Margenov, Preface, Special Issue on New Developments in Scalable Computing, Cybernetics and Information Technologies, Volume 20, No=6, Sofia 2020 , pp.5-7, Online ISSN: 1314-4081.
- D. Georgiev, T. Gurov , „Distributed Deep Learning on Heterogeneous Computing Resources Using Gossip Communication“, LNCS 2019, vol. 11958, pp. 220-227, 2020 , DOI: 10.1007/978-3-030-41032-2_25 .(SJR=0.427, 2019)
- E. Atanassov, M. Durchova, „Efficient quasi-Monte Carlo sampling for quantum random walks“, AIP Conference Proceedings, vol.2302, pp. 110001-1 -110001-6, 2020, DOI:10.1063/5.0034824 , (SJR=0.190, 2019).
- 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.
- E. Atanassov, S. Kucherenko, A. Karaivanova, 2020, Global Sensitivity Analysis of Various Numerical Schemes for the Heston Model. In: Krzhizhanovskaya V. et al. (eds) Computational Science – ICCS 2020. ICCS 2020. Lecture Notes in Computer Science, vol 12143. Springer, Cham. https://doi.org/10.1007/978-3-030-50436-6_38 .
- 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) (available at: http://parallel.bas.bg/Conferences/NSFDE&A2020/NSFDE&A’20.pdf).
- M. Lazarova, S.-M. Gurova, „A Comparative Numerical Analysis for Finding The Exact Solution for The Zero Coupon Bond’s Price in The Classical Vasicek Model Influenced by The Impact of The Market Price of Risk“, 9th International Conference on Application of Information and Communication Technology and Statistics in Economy and Education, ICAICTSEE-2019, Conference Proceedings, UNWE, vol. 100, pp. 295-304, 2020, ISSN: 2367-7643 (Onlilne): http://icaictsee.unwe.bg/past-conferences/ICAICTSEE-2019.pdf
- S.-M. Gurova, T. Gurov, A. Karaivanova, „Scalability study of MPI algorithm for a predator-prey model with SEIRS epidemic disease“, AIP Conference Proceedings, vol.2302, pp. 030001-1- 030001-7, 2020, DOI:10.1063/5.0033697 , (SJR=0.190, 2019).
- T. Simchev, E. Atanassov, „Performance Effects of Running Container-Based Open-MPI Cluster in Public Cloud“, LNCS 2019, vol.11958, pp. 254-262, 2020, DOI:10.1007/978-3-030-41032-2_29 . (SJR=0.427, 2019)
- V. Koleva-Efremova, T. Gurov, G. Nikolov, D. Efremov, „Performance Comparison of Parallel CFD Simulation of Ship Motion at Adverse Sea Conditions“, Proceedings of 15th International Conference on Marine Sciences and Technologies Black Sea’2020, COPYRIGHT-2020 by the Varna Scientific and Technical Unions, Bulgaria, ISSN 1314 – 0957, pp.88-96, 2020, (link)