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

Journal of statistical planning and inference, 2005, Vol.136 (3), p.1135-1152

2005

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Sequential and optimal experimental design. An example of application to the synthesis of metal alloys

Analusis, 1998-10, Vol.26 (8), p.284-290

Gauchi, J.-P.

1998

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Sequential and optimal experimental design. An example of application to the synthesis of metal alloys

Analusis (Imprimé), 1998, Vol.26 (8), p.284-290

GAUCHI, J.-P

1998

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Small Size Designs in Nonlinear Models Computed by Stochastic Optimization

mODa 7 — Advances in Model-Oriented Design and Analysis, p.71-79

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The use of partial least squares estimation for the analysis of experimental design in chemical mixture formulation problems

Revue de statistique appliquée, 1995-03, Vol.XLIII (1), p.65-90

Gauchi, J.-P.

1995

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Utilisation de la régression PLS pour l'analyse des plans d'expériences en chimie de formulation

Revue de statistique appliquée, 1995, Vol.43 (1), p.65-89

GAUCHI, J.-P

1995

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Partial least squares regression and its applications

Revue de statistique appliquée, 1995-03, Vol.XLIII (1), p.7-64

1995

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Small size designs in nonlinear models computed by stochastic optimization

Contributions to Statistics, 2004, Vol.7

2004

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Régression PLS et applications

Revue de statistique appliquée, 1995, Vol.43 (1), p.7-63

1995

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A 35.6 TOPS/W/mm² 3-Stage Pipelined Computational SRAM With Adjustable Form Factor for Highly Data-Centric Applications

IEEE journal of solid-state circuits, 2020, Vol.3, p.286-289

2020

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Computational SRAM Design Automation using Pushed-Rule Bitcells for Energy-Efficient Vector Processing

2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020, p.1187-1192

2020

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Computational SRAM design automation using pushed-rule bitcells for energy-efficient vector processing

Proceedings of the 23rd Conference on Design, Automation and Test in Europe, 2020, p.1187-1192

2020

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A 35.6TOPS/W/mm$^2$ 3-Stage Pipelined Computational SRAM with Adjustable Form Factor for Highly Data-Centric Applications

IEEE solid-state circuits letters, 2020-07, Vol.3, p.286-289

2020

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Memory Sizing of a Scalable SRAM In-Memory Computing Tile Based Architecture

2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC), 2019, p.166-171

2019

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Reconfigurable tiles of computing-in-memory SRAM architecture for scalable vectorization

Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design, 2020, p.121-126

2020

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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

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

Sensitivity analysis for high quantiles of ochratoxin A exposure distribution

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

Quantitative Assessment of Exposure to the Mycotoxin Ochratoxin A in Food

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

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

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

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

Sequential and optimal experimental design. An example of application to the synthesis of metal alloys

Sequential and optimal experimental design. An example of application to the synthesis of metal alloys

Small Size Designs in Nonlinear Models Computed by Stochastic Optimization

The use of partial least squares estimation for the analysis of experimental design in chemical mixture formulation problems

Utilisation de la régression PLS pour l'analyse des plans d'expériences en chimie de formulation

Partial least squares regression and its applications

Small size designs in nonlinear models computed by stochastic optimization

Régression PLS et applications

A 35.6 TOPS/W/mm² 3-Stage Pipelined Computational SRAM With Adjustable Form Factor for Highly Data-Centric Applications

Computational SRAM Design Automation using Pushed-Rule Bitcells for Energy-Efficient Vector Processing

Computational SRAM design automation using pushed-rule bitcells for energy-efficient vector processing

A 35.6TOPS/W/mm$^2$ 3-Stage Pipelined Computational SRAM with Adjustable Form Factor for Highly Data-Centric Applications

Memory Sizing of a Scalable SRAM In-Memory Computing Tile Based Architecture

Reconfigurable tiles of computing-in-memory SRAM architecture for scalable vectorization

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