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Global Sensitivity Analysis Applied to a Contamination Assessment Model of Listeria monocytogenes in Cold Smoked Salmon at Consumption

Risk analysis, 2010-05, Vol.30 (5), p.841-852

2010

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Dietary intervention impact on gut microbial gene richness

Nature (London), 2013-08, Vol.500 (7464), p.585-588

2013

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Simplifying a complex computer model: Sensitivity analysis and metamodelling of an 3D individual-based crop-weed canopy model

Ecological modelling, 2021-08, Vol.454, p.109607, Article 109607

2021

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Polymorphism of paracetamol: Relative stabilities of the monoclinic and orthorhombic phases inferred from topological pressure‐temperature and temperature‐volume phase diagrams

Journal of pharmaceutical sciences, 2005-03, Vol.94 (3), p.524-539

2005

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Selecting both latent and explanatory variables in the PLS1 regression model

Chemometrics and intelligent laboratory systems, 2003-06, Vol.66 (2), p.117-126

2003

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Predictive Control of Discrete Time Stochastic Nonlinear State Space Dynamical Systems: A Particle Nonparametric Approach

Applied mathematics & optimization, 2019-08, Vol.80 (1), p.165-194

2019

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Quantitative Assessment of Exposure to the Mycotoxin Ochratoxin A in Food

Risk analysis, 2002-04, Vol.22 (2), p.219-234

2002

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Nonparametric particle filtering approaches for identification and inference in nonlinear state-space dynamic systems

Statistics and computing, 2013-07, Vol.23 (4), p.523-533

2013

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Comparison of selection methods of explanatory variables in PLS regression with application to manufacturing process data

Chemometrics and intelligent laboratory systems, 2001-10, Vol.58 (2), p.171-193

2001

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Computer-aided optimal designs for improving neural network generalization

Neural networks, 2008-09, Vol.21 (7), p.945-950

2008

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New Prediction Interval and Band in the Nonlinear Regression Model: Application to Predictive Modeling in Foods

Communications in statistics. Simulation and computation, 2010-02, Vol.39 (2), p.322-334

2010

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Local optimality of replications from a minimal X -optimal design in regression: A sufficient and quasi-necessary condition

Statistical methodology, 2010, Vol.7 (1), p.41-57

2010

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Optimal Sensitivity Analysis under Constraints: Application to fisheries

Procedia, social and behavioral sciences, 2010, Vol.2 (6), p.7658-7659

2010

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Metamodeling and global sensitivity analysis for computer models with correlated inputs: A practical approach tested with a 3D light interception computer model

Environmental modelling & software : with environment data news, 2017-06, Vol.92 (92), p.40-56

2017

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N2 Gas Flushing Limits the Rise of Antibiotic-Resistant Bacteria in Bovine Raw Milk during Cold Storage

Frontiers in microbiology, 2017-04, Vol.8, p.1-12

2017

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Efficiency of N2 Gas Flushing Compared to the Lactoperoxidase System at Controlling Bacterial Growth in Bovine Raw Milk Stored at Mild Temperatures

Frontiers in microbiology, 2016, Vol.7 (juin), p.839-839

2016

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Quantitative dietary exposure assessment of the Catalonian population (Spain) to the mycotoxin deoxynivalenol

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment, 2011-08, Vol.28 (8), p.1098-1109

2011

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Use of global sensitivity analysis in quantitative microbial risk assessment: Application to the evaluation of a biological time temperature integrator as a quality and safety indicator for cold smoked salmon

Food microbiology, 2011-06, Vol.28 (4), p.755-769

2011

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Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature

Mathematical biosciences, 2014-04, Vol.250 (250), p.69-80

2014

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Local optimality of replications from a minimal -optimal design in regression: A sufficient and quasi-necessary condition

Statistical methodology, 2010-01, Vol.7 (1), p.41-57

2010

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Global Sensitivity Analysis Applied to a Contamination Assessment Model of Listeria monocytogenes in Cold Smoked Salmon at Consumption: Global Sensitivity Analysis for Food Bacterial Contamination

Risk analysis, 2010-05, Vol.30 (5), p.841-852

2010

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New prediction interval and band in the nonlinear regression model: Application to predictive modelling in food science

Communications in statistics. Simulation and computation, 2009-12, Vol.39 (2), p.322-334

2009

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Trends of Antibiotic Resistance in Mesophilic and Psychrotrophic Bacterial Populations during Cold Storage of Raw Milk

ISRN microbiology, 2012, Vol.2012 (2012), p.1-13

2012

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Designs in nonlinear regression by stochastic minimization of functionals of the mean square error matrix

Journal of statistical planning and inference, 2006-03, Vol.136 (3), p.1135-1152

2006

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Sensitivity analysis for high quantiles of ochratoxin A exposure distribution

International journal of food microbiology, 2002-05, Vol.75 (1), p.143-155

2002

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Global Sensitivity Analysis Applied to a Contamination Assessment Model of Listeria monocytogenes in Cold Smoked Salmon at Consumption

Dietary intervention impact on gut microbial gene richness

Simplifying a complex computer model: Sensitivity analysis and metamodelling of an 3D individual-based crop-weed canopy model

Polymorphism of paracetamol: Relative stabilities of the monoclinic and orthorhombic phases inferred from topological pressure‐temperature and temperature‐volume phase diagrams

Selecting both latent and explanatory variables in the PLS1 regression model

Predictive Control of Discrete Time Stochastic Nonlinear State Space Dynamical Systems: A Particle Nonparametric Approach

Quantitative Assessment of Exposure to the Mycotoxin Ochratoxin A in Food

Nonparametric particle filtering approaches for identification and inference in nonlinear state-space dynamic systems

Comparison of selection methods of explanatory variables in PLS regression with application to manufacturing process data

Computer-aided optimal designs for improving neural network generalization

New Prediction Interval and Band in the Nonlinear Regression Model: Application to Predictive Modeling in Foods

Local optimality of replications from a minimal X -optimal design in regression: A sufficient and quasi-necessary condition

Optimal Sensitivity Analysis under Constraints: Application to fisheries

Metamodeling and global sensitivity analysis for computer models with correlated inputs: A practical approach tested with a 3D light interception computer model

N2 Gas Flushing Limits the Rise of Antibiotic-Resistant Bacteria in Bovine Raw Milk during Cold Storage

Efficiency of N2 Gas Flushing Compared to the Lactoperoxidase System at Controlling Bacterial Growth in Bovine Raw Milk Stored at Mild Temperatures

Quantitative dietary exposure assessment of the Catalonian population (Spain) to the mycotoxin deoxynivalenol

Use of global sensitivity analysis in quantitative microbial risk assessment: Application to the evaluation of a biological time temperature integrator as a quality and safety indicator for cold smoked salmon

Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature

Local optimality of replications from a minimal -optimal design in regression: A sufficient and quasi-necessary condition

Global Sensitivity Analysis Applied to a Contamination Assessment Model of Listeria monocytogenes in Cold Smoked Salmon at Consumption: Global Sensitivity Analysis for Food Bacterial Contamination

New prediction interval and band in the nonlinear regression model: Application to predictive modelling in food science

Trends of Antibiotic Resistance in Mesophilic and Psychrotrophic Bacterial Populations during Cold Storage of Raw Milk

Designs in nonlinear regression by stochastic minimization of functionals of the mean square error matrix

Sensitivity analysis for high quantiles of ochratoxin A exposure distribution

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