Personal information

Data science, Machine Learning, Stochastic Simulation, Applied Probability
Australia

Activities

Employment (1)

University of Queensland: Brisbane, QLD, AU

2017-01-01 to present | Lecturer (School of Mathematics and Physics)
Employment
Source: Self-asserted source
Radislav Vaisman

Education and qualifications (1)

Technion Israel Institute of Technology: Haifa, Haifa, IL

2010-10-10 to 2014-12-31 | Ph.D. ( information system engineering)
Education
Source: Self-asserted source
Radislav Vaisman

Works (32)

On Alternative Monte Carlo Methods for Parameter Estimation in Gamma Process Models With Intractable Likelihood

IEEE Transactions on Reliability
2024 | Journal article
Contributors: Daniel Z. Herr; Radislav Vaisman; Mitchell Scovell; Nikolai Kinaev
Source: check_circle
Crossref

Ukrainization and the Effect of Russian Language on the Web: The Google Trends Case Study

Problems of Post-Communism
2024-07-03 | Journal article
Contributors: Hui Yao; Andrew Crowden; Radislav Vaisman
Source: check_circle
Crossref

Optimal balanced chain decomposition of partially ordered sets with applications to operating cost minimization in aircraft routing problems

Public Transport
2023-03 | Journal article
Contributors: Radislav Vaisman; Ilya B. Gertsbakh
Source: check_circle
Crossref

Finding minimum label spanning trees using cross‐entropy method

Networks
2022-03 | Journal article
Contributors: Radislav Vaisman
Source: check_circle
Crossref

Reliability and importance measure analysis of networks with shared risk link groups

Reliability Engineering & System Safety
2021-07 | Journal article
Contributors: Radislav Vaisman; Yuting Sun
Source: check_circle
Crossref

Subset selection via continuous optimization with applications to network design

Environmental Monitoring and Assessment
2020-06 | Journal article
Contributors: Radislav Vaisman
Source: check_circle
Crossref

Data science and machine learning : mathematical and statistical methods / Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman.

Data science and machine learning : mathematical and statistical methods
2019 | Book
Source: Self-asserted source
Radislav Vaisman

Reliability of a network with heterogeneous components

Springer Series in Reliability Engineering
2018 | Book chapter
EID:

2-s2.0-85027404540

Source: Self-asserted source
Radislav Vaisman
grade
Preferred source (of 2)‎

On the analysis of independent sets via multilevel splitting

Networks
2018-04-10 | Journal article
Source: Self-asserted source
Radislav Vaisman
grade
Preferred source (of 2)‎

Decision-Making with Cross-Entropy for Self-Adaptation

Proceedings - 2017 IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017
2017 | Conference paper
EID:

2-s2.0-85027152677

Contributors: Moreno, G.A.; Strichman, O.; Chaki, S.; Vaisman, R.
Source: Self-asserted source
Radislav Vaisman via Scopus - Elsevier
grade
Preferred source (of 2)‎

On a single discrete scale for preventive maintenance with two shock processes affecting a complex system

Applied Stochastic Models in Business and Industry
2017 | Journal article
EID:

2-s2.0-85006100693

Contributors: Finkelstein, M.; Gertsbakh, I.; Vaisman, R.
Source: Self-asserted source
Radislav Vaisman via Scopus - Elsevier

Stochastic enumeration method for counting trees

Methodology and Computing in Applied Probability
2017 | Journal article
EID:

2-s2.0-84939231991

Source: Self-asserted source
Radislav Vaisman
grade
Preferred source (of 2)‎

The Multilevel Splitting algorithm for graph colouring with application to the Potts model

Philosophical Magazine
2017 | Journal article
EID:

2-s2.0-85017407704

Contributors: Vaisman, R.; Roughan, M.; Kroese, D.P.
Source: Self-asserted source
Radislav Vaisman via Scopus - Elsevier
grade
Preferred source (of 2)‎

D-Spectra for networks with binary and ternary components

Proceedings - 2nd International Symposium on Stochastic Models in Reliability Engineering, Life Science, and Operations Management, SMRLO 2016
2016 | Conference paper
EID:

2-s2.0-84964860831

Contributors: Gertsbakh, I.B.; Shpungin, Y.; Vaisman, R.
Source: Self-asserted source
Radislav Vaisman via Scopus - Elsevier

Estimating the mumber of vertices in convex polytopes

Proceedings of the Annual International Conference on Operations Research and Statistics, ORS
2016 | Conference paper
Source: Self-asserted source
Radislav Vaisman

Improved sampling plans for combinatorial invariants of coherent systems

IEEE Transactions on Reliability
2016 | Journal article
EID:

2-s2.0-84937707388

Source: Self-asserted source
Radislav Vaisman
grade
Preferred source (of 2)‎

New sampling plans for estimating residual connectedness reliability

Proceedings of the Annual International Conference on Operations Research and Statistics, ORS
2016 | Conference paper
Source: Self-asserted source
Radislav Vaisman

Sequential monte carlo for counting vertex covers in general graphs

Statistics and Computing
2016 | Journal article
EID:

2-s2.0-84922166667

Source: Self-asserted source
Radislav Vaisman
grade
Preferred source (of 2)‎

Splitting sequential Monte Carlo for efficient unreliability estimation of highly reliable networks

Structural Safety
2016 | Journal article
EID:

2-s2.0-84978254403

Contributors: Vaisman, R.; Kroese, D.P.; Gertsbakh, I.B.
Source: Self-asserted source
Radislav Vaisman via Scopus - Elsevier
grade
Preferred source (of 2)‎

Resilience of finite networks against simple and combined attack on their nodes

Electronic Journal: Reliability: Theory & Applications
2016-12 | Other
Source: Self-asserted source
Radislav Vaisman
grade
Preferred source (of 2)‎

D-spectrum and reliability of a binary system with ternary components

Probability in the Engineering and Informational Sciences
2015 | Journal article
EID:

2-s2.0-84943752560

Source: Self-asserted source
Radislav Vaisman
grade
Preferred source (of 2)‎

Model counting of monotone conjunctive normal form formulas with spectra

INFORMS Journal on Computing
2015 | Journal article
EID:

2-s2.0-84982283798

Contributors: Vaisman, R.; Strichman, O.; Gertsbakh, I.
Source: Self-asserted source
Radislav Vaisman via Scopus - Elsevier

Monte carlo for estimating exponential convolution

Communications in Statistics: Simulation and Computation
2015 | Journal article
EID:

2-s2.0-84937460110

Source: Self-asserted source
Radislav Vaisman
grade
Preferred source (of 2)‎

Network reliability monte carlo with nodes subject to failure

International Journal of Performability Engineering
2014 | Journal article
EID:

2-s2.0-84898079312

Contributors: Gertsbakh, I.; Shpungin, Y.; Vaisman, R.
Source: Self-asserted source
Radislav Vaisman via Scopus - Elsevier

Permutational methods for performance analysis of stochastic flow networks

Probability in the Engineering and Informational Sciences
2014 | Journal article
EID:

2-s2.0-84910651034

Contributors: Gertsbakh, I.; Rubinstein, R.; Shpungin, Y.; Vaisman, R.
Source: Self-asserted source
Radislav Vaisman via Scopus - Elsevier

Reliability of stochastic flow networks with continuous link capacities

Winter Simulation Conference 2014
2014 | Conference paper
Source: Self-asserted source
Radislav Vaisman

Ternary networks - reliability and monte carlo

Springer Briefs in Electrical and Computer Engineering
2014 | Book
Source: Self-asserted source
Radislav Vaisman

Fast sequential monte carlo methods for counting and optimization

Wiley
2013 | Book
EID:

2-s2.0-84939253082

Source: Self-asserted source
Radislav Vaisman
grade
Preferred source (of 2)‎

Counting with combined splitting and capture-recapture methods

Stochastic Models
2012 | Journal article
EID:

2-s2.0-84864653793

Contributors: Dupuis, P.; Kaynar, B.; Ridder, A.; Rubinstein, R.; Vaisman, R.
Source: Self-asserted source
Radislav Vaisman via Scopus - Elsevier

The splitting method for decision making

Communications in Statistics: Simulation and Computation
2012 | Journal article
EID:

2-s2.0-84862870845

Contributors: Rubinstein, R.; Dolgin, A.; Vaisman, R.
Source: Self-asserted source
Radislav Vaisman via Scopus - Elsevier

On the use of smoothing to improve the performance of the splitting method

Stochastic Models
2011 | Journal article
EID:

2-s2.0-84855793904

Source: Self-asserted source
Radislav Vaisman
grade
Preferred source (of 2)‎

How to generate uniform samples on discrete sets using the splitting method

Probability in the Engineering and Informational Sciences
2010 | Journal article
EID:

2-s2.0-77953618525

Contributors: Glynn, P.W.; Dolgin, A.; Rubinstein, R.Y.; Vaisman, R.
Source: Self-asserted source
Radislav Vaisman via Scopus - Elsevier