Semi-real-time analyses of item characteristics for medical school admission tests. - Patrícia Martinková; Lubomír Stepánek; Adéla Drabinová; Jakub Houdek; Martin Vejrazka; Cestmír Stuka (FedCSIS, 2017)

Evaluation of facial attractiveness for purposes of plastic surgery using machine-learning methods and image analysis. - Lubomír Stepánek; Pavel Kasal; Jan Mesták (HealthCom, 2018)

Machine-learning at the service of plastic surgery: a case study evaluating facial attractiveness and emotions using R language. - Lubomír Stepánek; Pavel Kasal; Jan Mesták (FedCSIS, 2019)

Machine-Learning and R in Plastic Surgery - Evaluation of Facial Attractiveness and Classification of Facial Emotions. - Lubomír Stepánek; Pavel Kasal; Jan Mesták (ISAT (2), 2019)

Analysis of asymptotic time complexity of an assumption-free alternative to the log-rank test. - Lubomír Stepánek; Filip Habarta; Ivana Malá; Lubos Marek (FedCSIS, 2020)

Reducing the First-Type Error Rate of the Log-Rank Test: Asymptotic Time Complexity Analysis of An Optimized Test's Alternative. - Lubomír Stepánek; Filip Habarta; Ivana Malá; Lubos Marek (WCO@FedCSIS, 2020)

Feasibility of computerized adaptive testing evaluated by Monte-Carlo and post-hoc simulations. - Lubomír Stepánek; Patrícia Martinková (FedCSIS, 2020)

A random forest-based approach for survival curves comparing: principles, computational aspects and asymptotic time complexity analysis. - Lubomír Stepánek; Filip Habarta; Ivana Malá; Lubos Marek (FedCSIS, 2021)

Alternatives for greedy discrete subsampling: various approaches including cluster subsampling of COVID-19 data with no response variable. - Lubomír Stepánek; Filip Habarta; Ivana Malá; Lubos Marek (FedCSIS (Position Papers), 2021)

A short note on post-hoc testing using random forests algorithm: Principles, asymptotic time complexity analysis, and beyond. - Lubomír Stepánek; Filip Habarta; Ivana Malá; Lubos Marek (FedCSIS, 2022)

Dirichlet's principle revisited: An inverse Dirichlet's principle definition and its bound estimation improvement using stochastic combinatorics. - Lubomír Stepánek; Filip Habarta; Ivana Malá; Lubos Marek (FedCSIS (Communication Papers), 2022)

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. - Lubomír Stepánek; Filip Habarta; Ivana Malá; Lubos Marek; Stefka Fidanova (WCO, 2022)

Let's estimate all parameters as probabilities: Precise estimation using Chebyshev's inequality, Bernoulli distribution, and Monte Carlo simulations. - Lubomír Stepánek; Filip Habarta; Ivana Malá; Lubos Marek (FedCSIS, 2023)

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. - Lubomír Stepánek; Filip Habarta; Ivana Malá; Lubos Marek (FedCSIS, 2023)

Secretary problem revisited: Optimal selection strategy for top candidates using one try in a generalized version of the problem. - Lubomír Stepánek (FedCSIS, 2024)

Non-parametric comparison of survival functions with censored data: A computational analysis of greedy and Monte Carlo approaches. - Lubomír Stepánek; Filip Habarta; Ivana Malá; Lubos Marek (FedCSIS, 2024)