| 2025 | FedCSIS | Machine learning for survival analysis: a comparative study on intensive care unit (ICU) patient data and simulations. | Luks Bocek, Lubomr Stepnek |
| 2025 | FedCSIS | Bias in Classical Life Tables Under Censoring: A Comparative Study With Kaplan-Meier Estimation and Actuarial Estimation Using Real and Simulated Data. | Lubomr Seif, Ondrej Vt, Lubomr Stepnek |
| 2025 | FedCSIS | Improved upper bounds on the shortest watchman route in simple polygons: Dependence on reflex vertices and triangulation strategies. | Lubomr Stepnek |
| 2025 | FedCSIS | A statistical hypothesis test for primality based on random divisor sampling: Principles, properties, adaptive design, and algorithmic analysis. | Lubomr Stepnek |
| 2025 | FedCSIS | Claim Frequency Estimation in Motor Third-Party Liability (MTPL): Classical Statistical Models versus Machine Learning Methods. | Ondrej Vt, Lubomr Seif, Lubomr Stepnek |
| 2024 | FedCSIS | Secretary problem revisited: Optimal selection strategy for top candidates using one try in a generalized version of the problem. | Lubomr Stepnek |
| 2024 | FedCSIS | Non-parametric comparison of survival functions with censored data: A computational analysis of greedy and Monte Carlo approaches. | Lubomr Stepnek, Filip Habarta, Ivana Mal, Lubos Marek |
| 2023 | FedCSIS | Let's estimate all parameters as probabilities: Precise estimation using Chebyshev's inequality, Bernoulli distribution, and Monte Carlo simulations. | Lubomr Stepnek, Filip Habarta, Ivana Mal, Lubos Marek |
| 2023 | FedCSIS | A lower bound for proportion of visibility polygon's surface to entire polygon's surface: Estimated by Art Gallery Problem and proven that cannot be greatly improved. | Lubomr Stepnek, Filip Habarta, Ivana Mal, Lubos Marek |
| 2022 | FedCSIS | A short note on post-hoc testing using random forests algorithm: Principles, asymptotic time complexity analysis, and beyond. | Lubomr Stepnek, Filip Habarta, Ivana Mal, Lubos Marek |
| 2022 | FedCSIS | Dirichlet's principle revisited: An inverse Dirichlet's principle definition and its bound estimation improvement using stochastic combinatorics. | Lubomr Stepnek, Filip Habarta, Ivana Mal, Lubos Marek |
| 2022 | WCO | Application of an Inverse Dirichlet's Principle to Discrete Recreational Problems: Bound Estimation's Optimization Using Combinatorial Probability and Comparison of Numerical Bound Estimation Using Various Algorithms, Including Recursive Inclusion-Exclusion Principle. | Lubomr Stepnek, Filip Habarta, Ivana Mal, Lubos Marek, Stefka Fidanova |
| 2021 | FedCSIS | A random forest-based approach for survival curves comparing: principles, computational aspects and asymptotic time complexity analysis. | Lubomr Stepnek, Filip Habarta, Ivana Mal, Lubos Marek |
| 2021 | FedCSIS | Alternatives for greedy discrete subsampling: various approaches including cluster subsampling of COVID-19 data with no response variable. | Lubomr Stepnek, Filip Habarta, Ivana Mal, Lubos Marek |
| 2020 | FedCSIS | Analysis of asymptotic time complexity of an assumption-free alternative to the log-rank test. | Lubomr Stepnek, Filip Habarta, Ivana Mal, Lubos Marek |
| 2020 | FedCSIS | Reducing the First-Type Error Rate of the Log-Rank Test: Asymptotic Time Complexity Analysis of An Optimized Test's Alternative. | Lubomr Stepnek, Filip Habarta, Ivana Mal, Lubos Marek |
| 2020 | FedCSIS | Feasibility of computerized adaptive testing evaluated by Monte-Carlo and post-hoc simulations. | Lubomr Stepnek, Patrcia Martinkov |
| 2019 | FedCSIS | Machine-learning at the service of plastic surgery: a case study evaluating facial attractiveness and emotions using R language. | Lubomr Stepnek, Pavel Kasal, Jan Mestk |
| 2018 | HealthCom | Evaluation of facial attractiveness for purposes of plastic surgery using machine-learning methods and image analysis. | Lubomr Stepnek, Pavel Kasal, Jan Mestk |
| 2017 | FedCSIS | Semi-real-time analyses of item characteristics for medical school admission tests. | Patrcia Martinkov, Lubomr Stepnek, Adla Drabinov, Jakub Houdek, Martin Vejrazka, Cestmr Stuka |