Lubomír Stepánek

21 papers C 16Unranked 5
YearRankTypeTitle / Venue / Authors
2025 C conf
A statistical hypothesis test for primality based on random divisor sampling: Principles, properties, adaptive design, and algorithmic analysis.
FedCSIS
Lubomír Stepánek
2025 C conf
Bias in Classical Life Tables Under Censoring: A Comparative Study With Kaplan-Meier Estimation and Actuarial Estimation Using Real and Simulated Data.
FedCSIS
Lubomír Seif, Ondrej Vít, Lubomír Stepánek
2025 — conf
Claim Frequency Estimation in Motor Third-Party Liability (MTPL): Classical Statistical Models versus Machine Learning Methods.
FedCSIS (Communication Papers)
Ondrej Vít, Lubomír Seif, Lubomír Stepánek
2025 C conf
Improved upper bounds on the shortest watchman route in simple polygons: Dependence on reflex vertices and triangulation strategies.
FedCSIS
Lubomír Stepánek
2025 C conf
Machine learning for survival analysis: a comparative study on intensive care unit (ICU) patient data and simulations.
FedCSIS
Lukás Bocek, Lubomír Stepánek
2024 C conf
Non-parametric comparison of survival functions with censored data: A computational analysis of greedy and Monte Carlo approaches.
FedCSIS
Lubomír Stepánek, Filip Habarta, Ivana Malá, Lubos Marek
2024 C conf
Secretary problem revisited: Optimal selection strategy for top candidates using one try in a generalized version of the problem.
FedCSIS
Lubomír Stepánek
2023 C conf
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.
FedCSIS
Lubomír Stepánek, Filip Habarta, Ivana Malá, Lubos Marek
2023 C conf
Let's estimate all parameters as probabilities: Precise estimation using Chebyshev's inequality, Bernoulli distribution, and Monte Carlo simulations.
FedCSIS
Lubomír Stepánek, Filip Habarta, Ivana Malá, Lubos Marek
2022 C conf
A short note on post-hoc testing using random forests algorithm: Principles, asymptotic time complexity analysis, and beyond.
FedCSIS
Lubomír Stepánek, Filip Habarta, Ivana Malá, Lubos Marek
2022 C conf
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.
WCO
Lubomír Stepánek, Filip Habarta, Ivana Malá, Lubos Marek, Stefka Fidanova
2022 — conf
Dirichlet's principle revisited: An inverse Dirichlet's principle definition and its bound estimation improvement using stochastic combinatorics.
FedCSIS (Communication Papers)
Lubomír Stepánek, Filip Habarta, Ivana Malá, Lubos Marek
2021 C conf
A random forest-based approach for survival curves comparing: principles, computational aspects and asymptotic time complexity analysis.
FedCSIS
Lubomír Stepánek, Filip Habarta, Ivana Malá, Lubos Marek
2021 — conf
Alternatives for greedy discrete subsampling: various approaches including cluster subsampling of COVID-19 data with no response variable.
FedCSIS (Position Papers)
Lubomír Stepánek, Filip Habarta, Ivana Malá, Lubos Marek
2020 C conf
Analysis of asymptotic time complexity of an assumption-free alternative to the log-rank test.
FedCSIS
Lubomír Stepánek, Filip Habarta, Ivana Malá, Lubos Marek
2020 C conf
Feasibility of computerized adaptive testing evaluated by Monte-Carlo and post-hoc simulations.
FedCSIS
Lubomír Stepánek, Patrícia Martinková
2020 — conf
Reducing the First-Type Error Rate of the Log-Rank Test: Asymptotic Time Complexity Analysis of An Optimized Test's Alternative.
WCO@FedCSIS
Lubomír Stepánek, Filip Habarta, Ivana Malá, Lubos Marek
2019 — conf
Machine-Learning and R in Plastic Surgery - Evaluation of Facial Attractiveness and Classification of Facial Emotions.
ISAT (2)
Lubomír Stepánek, Pavel Kasal, Jan Mesták
2019 C conf
Machine-learning at the service of plastic surgery: a case study evaluating facial attractiveness and emotions using R language.
FedCSIS
Lubomír Stepánek, Pavel Kasal, Jan Mesták
2018 C conf
Evaluation of facial attractiveness for purposes of plastic surgery using machine-learning methods and image analysis.
HealthCom
Lubomír Stepánek, Pavel Kasal, Jan Mesták
2017 C conf
Semi-real-time analyses of item characteristics for medical school admission tests.
FedCSIS
Patrícia Martinková, Lubomír Stepánek, Adéla Drabinová, Jakub Houdek, Martin Vejrazka, Cestmír Stuka