Sergei S. Kucherenko

36 papers C 1Journal 32Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Active subspace methods and derivative-based Shapley effects for functions with non-independent variables.
CoRR
Matieyendou Lamboni, Sergei S. Kucherenko
2026 J jnl
Active subspace methods and derivative-based Shapley effects for functions with non-independent variables.
Math. Comput. Simul.
Matieyendou Lamboni, Sergei S. Kucherenko
2025 J jnl
Analytical identification of process design spaces using R-functions.
Comput. Chem. Eng.
Sergei S. Kucherenko, Nilay Shah, Oleksiy V. Klymenko
2025 J jnl
Identification of Feasible Regions Using R-Functions.
CoRR
Sergei S. Kucherenko, Nilay Shah, Oleksiy V. Klymenko
2024 J jnl
Analytical Identification of Design and Multidimensional Spaces Using R-Functions.
CoRR
Sergei S. Kucherenko, Oleksiy V. Klymenko, Nilay Shah
2024 J jnl
Design space identification of a coupled two-stage batch reactor system.
Comput. Chem. Eng.
Sergei S. Kucherenko, Nannapat Sopittakamol, Nilay Shah
2023 — conf
Application of Active Subspaces for Model Reduction and Identification of Design Space.
LSSC
Sergei S. Kucherenko, Nilay Shah, Oluyemi Zaccheus
2022 J jnl
A unified approach for global sensitivity analysis based on active subspace and Kriging.
Reliab. Eng. Syst. Saf.
Changcong Zhou, Zhuangke Shi, Sergei S. Kucherenko, Haodong Zhao
2021 J jnl
Multivariate sensitivity analysis and derivative-based global sensitivity measures with dependent variables.
Reliab. Eng. Syst. Saf.
Matieyendou Lamboni, Sergei S. Kucherenko
2021 J jnl
Quantile sensitivity measures based on subset simulation importance sampling.
Reliab. Eng. Syst. Saf.
Shufang Song, Zhiwei Bai, Sergei S. Kucherenko, Lu Wang, Caiqiong Yang
2020 J jnl
Computationally efficient identification of probabilistic design spaces through application of metamodeling and adaptive sampling.
Comput. Chem. Eng.
Sergei S. Kucherenko, Dimitrios Giamalakis, Nilay Shah, Salvador García Muñoz
2020 — conf
Global Sensitivity Analysis of Various Numerical Schemes for the Heston Model.
ICCS (7)
Emanouil I. Atanassov, Sergei S. Kucherenko, Aneta Karaivanova
2019 J jnl
Derivative-based new upper bound of Sobol' sensitivity measure.
Reliab. Eng. Syst. Saf.
Shufang Song, Tong Zhou, Lu Wang, Sergei S. Kucherenko, Zhenzhou Lu
2019 J jnl
Higher-order sensitivity analysis of a final repository model with discontinuous behaviour using the RS-HDMR meta-modeling approach.
Reliab. Eng. Syst. Saf.
Sabine M. Spiessl, Sergei S. Kucherenko, Dirk-A. Becker, Oluyemi Zaccheus
2019 J jnl
Quantile based global sensitivity measures.
Reliab. Eng. Syst. Saf.
Sergei S. Kucherenko, Shufang Song, Lu Wang
2017 J jnl
Different numerical estimators for main effect global sensitivity indices.
Reliab. Eng. Syst. Saf.
Sergei S. Kucherenko, Shufang Song
2017 J jnl
Sobol' indices for problems defined in non-rectangular domains.
Reliab. Eng. Syst. Saf.
Sergei S. Kucherenko, Oleksiy V. Klymenko, Nilay Shah
2016 J jnl
Global sensitivity analysis using sparse high dimensional model representations generated by the group method of data handling.
Math. Comput. Simul.
Romain S. C. Lambert, Frank Lemke, Sergei S. Kucherenko, Shufang Song, Nilay Shah
2015 J jnl
Application of the control variate technique to estimation of total sensitivity indices.
Reliab. Eng. Syst. Saf.
Sergei S. Kucherenko, B. Delpuech, Bertrand Iooss, Stefano Tarantola
2014 — conf
Derivative-Based Global Sensitivity Measures and Their Link with Sobol' Sensitivity Indices.
MCQMC
Sergei S. Kucherenko, Shufang Song
2013 J jnl
Metamodelling with independent and dependent inputs.
Comput. Phys. Commun.
Miguel Munoz Zuniga, Sergei S. Kucherenko, Nilay Shah
2012 J jnl
Estimation of global sensitivity indices for models with dependent variables.
Comput. Phys. Commun.
Sergei S. Kucherenko, Stefano Tarantola, Paola Annoni
2011 J jnl
The identification of model effective dimensions using global sensitivity analysis.
Reliab. Eng. Syst. Saf.
Sergei S. Kucherenko, Balazs Feil, Nilay Shah, Wolfgang Mauntz
2010 J jnl
A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices.
Comput. Phys. Commun.
Ilya M. Sobol, Sergei S. Kucherenko
2009 J jnl
Calculating first-order sensitivity measures: A benchmark of some recent methodologies.
Reliab. Eng. Syst. Saf.
Debora Gatelli, Sergei S. Kucherenko, Marco Ratto, Stefano Tarantola
2009 J jnl
Derivative based global sensitivity measures and their link with global sensitivity indices.
Math. Comput. Simul.
Ilya M. Sobol, Sergei S. Kucherenko
2009 J jnl
Monte Carlo evaluation of derivative-based global sensitivity measures.
Reliab. Eng. Syst. Saf.
Sergei S. Kucherenko, Maria Rodriguez-Fernandez, Constantinos C. Pantelides, Nilay Shah
2007 J jnl
Estimating the approximation error when fixing unessential factors in global sensitivity analysis.
Reliab. Eng. Syst. Saf.
Ilya M. Sobol, Stefano Tarantola, Debora Gatelli, Sergei S. Kucherenko, Wolfgang Mauntz
2007 J jnl
New formulations for the Kissing Number Problem.
Discret. Appl. Math.
Sergei S. Kucherenko, Pietro Belotti, Leo Liberti, Nelson Maculan
2005 J jnl
Application of Deterministic Low-Discrepancy Sequences in Global Optimization.
Comput. Optim. Appl.
Sergei S. Kucherenko, Yury Sytsko
2005 J jnl
Comparison of deterministic and stochastic approaches to global optimization.
Int. Trans. Oper. Res.
Leo Liberti, Sergei S. Kucherenko
2005 J jnl
On global sensitivity analysis of quasi-Monte Carlo algorithms.
Monte Carlo Methods Appl.
Ilya M. Sobol, Sergei S. Kucherenko
2004 J jnl
A flexible and generic approach to dynamic modelling of supply chains.
J. Oper. Res. Soc.
Wing Yan Hung, Sergei S. Kucherenko, Nouri J. Samsatli, Nilay Shah
2004 C conf
The Kissing Number Problem: A New Result from Global Optimization.
CTW
Leo Liberti, Nelson Maculan, Sergei S. Kucherenko
2004 J jnl
The Kissing Number Problem: A New Result from Global Optimization.
Electron. Notes Discret. Math.
Leo Liberti, Nelson Maculan, Sergei S. Kucherenko
1998 J jnl
Time-Dependent Solution of a Full Hydrodynamic Model Including Convective Terms and Viscous Effect.
VLSI Design
Deyin Xu, Ting-Wei Tang, Sergei S. Kucherenko