Lubos Marek

12 papers C 7Journal 1Unranked 4
YearRankTypeTitle / Venue / Authors
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
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 — 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
2016 J jnl
Using mixture density functions for modelling of wage distributions.
Central Eur. J. Oper. Res.
Lubos Marek, Michal Vrabec
2015 — conf
Analysis of Neurosurgery Data Using Statistical and Data Mining Methods.
MICAI (2)
Petr Berka, Josef Jablonsky, Lubos Marek, Michal Vrabec