Lista de obras - Alberto Ferrer - Dominio Público Uruguay

A Logistic Regression Model Applied to Evaluate the Influence of Operating Time of AgI Ground Acetonic Generators on the Size and Hardness of Hail

article by Sebastián Balasch et al published July 2004 in Natural Hazards

A comparison of different discriminant analysis techniques in a steel industry welding process

A kernel-based approach for fault diagnosis in batch processes

A multiway approach to data integration in systems biology based on Tucker3 and N-PLS

article

ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experiments

artículo científico publicado en 2011

Automatic individual arterial input functions calculated from PCA outperform manual and population-averaged approaches for the pharmacokinetic modeling of DCE-MR images.

artículo científico publicado en 2014

Batch process diagnosis: PLS with variable selection versus block-wise PCR

Bilinear modeling of batch processes. Part III: parameter stability

Bilinear modelling of batch processes. Part I: theoretical discussion

Bilinear modelling of batch processes. Part II: a comparison of PLS soft-sensors

Building covariance matrices with the desired structure

Chemometric approaches to improve PLSDA model outcome for predicting human non-alcoholic fatty liver disease using UPLC-MS as a metabolic profiling tool

article

Comparison of different predictive models for nutrient estimation in a sequencing batch reactor for wastewater treatment

article by Daniel Aguado et al published December 2006 in Chemometrics and Intelligent Laboratory Systems

Comparison of multivariate statistical methods for dynamic systems modeling

Corrigendum to “The best approaches in the on-line monitoring of batch processes based on PCA: Does the modelling structure matter?” [Anal. Chim. Acta Volume 642 (2009) 59–68]

scholarly article published in Analytica Chimica Acta

Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: Practical aspects

article published in 2014

Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: theoretical aspects

Data understanding with PCA: Structural and Variance Information plots

Dealing with missing data in MSPC: several methods, different interpretations, some examples

Differential expression in RNA-seq: a matter of depth

artículo científico publicado en 2011

Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA.

artículo científico publicado en 2007

Discussion of “Opportunities and Issues in Multiple Data Type Meta-Analyses”

Dynamic elementary mode modelling of non-steady state flux data.

artículo científico publicado en 2018

Effect of Synchronization on Bilinear Batch Process Modeling

Enabling network inference methods to handle missing data and outliers

artículo científico publicado en 2015

Evaluation of the effect of chance correlations on variable selection using Partial Least Squares-Discriminant Analysis

artículo científico publicado en 2013

Feature extraction and classification in surface grading application using multivariate statistical projection models

Framework for regression-based missing data imputation methods in on-line MSPC

Functional assessment of time course microarray data

artículo científico publicado en 2009

Fusion of genomic, proteomic and phenotypic data: the case of potyviruses

artículo científico publicado en 2015

How to simulate normal data sets with the desired correlation structure

Integration of colour and textural information in multivariate image analysis: defect detection and classification issues

Latent Structures-Based Multivariate Statistical Process Control: A Paradigm Shift

MCR-ALS on metabolic networks: Obtaining more meaningful pathways

article published in 2015

MIA and NIR Chemical Imaging for pharmaceutical product characterization

MVBatch: A matlab toolbox for batch process modeling and monitoring

Metabolic flux understanding of Pichia pastoris grown on heterogenous culture media

article

Missing Data Imputation Toolbox for MATLAB

Multi-phase analysis framework for handling batch process data

article by José Camacho Páez et al published November 2008 in Journal of Chemometrics

Multisynchro: a novel approach for batch synchronization in scenarios of multiple asynchronisms

Multivariate SPC of a sequencing batch reactor for wastewater treatment

article by Daniel Aguado et al published January 2007 in Chemometrics and Intelligent Laboratory Systems

Multivariate image analysis: A review with applications

N-way modeling for wavelet filter determination in multivariate image analysis

NIR hyperspectral imaging to evaluate degradation in captopril commercial tablets

artículo científico publicado en 2016

Near infrared hyperspectral imaging for forensic analysis of document forgery.

artículo científico publicado en 2014

PCA model building with missing data: New proposals and a comparative study

PLS: A versatile tool for industrial process improvement and optimization

Performance evaluation of soft color texture descriptors for surface grading using experimental design and logistic regression

scholarly article by Fernando López et al published May 2008 in Pattern Recognition

Pixel classification methods for identifying and quantifying leaf surface injury from digital images

Prediction of skin quality properties by different Multivariate Image Analysis methodologies

Principal elementary mode analysis (PEMA).

artículo científico publicado en 2016

Process understanding of a wastewater batch reactor with block-wise PLS

article by Daniel Aguado et al published 2007 in Environmetrics

Prostate Diffusion Weighted-Magnetic Resonance Image analysis using Multivariate Curve Resolution methods

article by E. Aguado-Sarrió et al published January 2015 in Chemometrics and Intelligent Laboratory Systems

Prostate functional magnetic resonance image analysis using multivariate curve resolution methods

article by José M. Prats-Montalbán et al published 18 December 2013 in Journal of Chemometrics

Pseudo-sample based contribution plots: innovative tools for fault diagnosis in kernel-based batch process monitoring

Real-time synchronization of batch trajectories for on-line multivariate statistical process control using Dynamic Time Warping

Rejoinder

Self-tuning run to run optimization of fed-batch processes using unfold-PLS

Sparse N-way partial least squares with R package sNPLS

article by D. Hervás et al published August 2018 in Chemometrics and Intelligent Laboratory Systems

Statistical process control based on Multivariate Image Analysis: A new proposal for monitoring and defect detection

The best approaches in the on-line monitoring of batch processes based on PCA: Does the modelling structure matter?

artículo científico publicado en 2009

Topology analysis and visualization of Potyvirus protein-protein interaction network

artículo científico publicado en 2014

Uniformity of SCC properties cast in vertical column

Using Unfold-PCA for batch-to-batch start-up process understanding and steady-state identification in a sequencing batch reactor

Using warping information for batch process monitoring and fault classification

VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits

Variable selection for multifactorial genomic data

maSigPro: a method to identify significantly differential expression profiles in time-course microarray experiments

artículo científico publicado en 2006

‘Nonstationarity in statistical process control - issues, cases, ideas’ by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker

Lista de obras de Alberto Ferrer

A Logistic Regression Model Applied to Evaluate the Influence of Operating Time of AgI Ground Acetonic Generators on the Size and Hardness of Hail

A comparison of different discriminant analysis techniques in a steel industry welding process

A kernel-based approach for fault diagnosis in batch processes

A kernel-based approach for fault diagnosis in batch processes

A multiway approach to data integration in systems biology based on Tucker3 and N-PLS

ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experiments

Automatic individual arterial input functions calculated from PCA outperform manual and population-averaged approaches for the pharmacokinetic modeling of DCE-MR images.

Batch process diagnosis: PLS with variable selection versus block-wise PCR

Bilinear modeling of batch processes. Part III: parameter stability

Bilinear modelling of batch processes. Part I: theoretical discussion

Bilinear modelling of batch processes. Part II: a comparison of PLS soft-sensors

Building covariance matrices with the desired structure

Chemometric approaches to improve PLSDA model outcome for predicting human non-alcoholic fatty liver disease using UPLC-MS as a metabolic profiling tool

Comparison of different predictive models for nutrient estimation in a sequencing batch reactor for wastewater treatment

Comparison of multivariate statistical methods for dynamic systems modeling

Corrigendum to “The best approaches in the on-line monitoring of batch processes based on PCA: Does the modelling structure matter?” [Anal. Chim. Acta Volume 642 (2009) 59–68]

Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: Practical aspects

Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: theoretical aspects

Data understanding with PCA: Structural and Variance Information plots

Dealing with missing data in MSPC: several methods, different interpretations, some examples

Differential expression in RNA-seq: a matter of depth

Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA.

Discussion of “Opportunities and Issues in Multiple Data Type Meta-Analyses”

Dynamic elementary mode modelling of non-steady state flux data.

Effect of Synchronization on Bilinear Batch Process Modeling

Enabling network inference methods to handle missing data and outliers

Evaluation of the effect of chance correlations on variable selection using Partial Least Squares-Discriminant Analysis

Feature extraction and classification in surface grading application using multivariate statistical projection models

Framework for regression-based missing data imputation methods in on-line MSPC

Functional assessment of time course microarray data

Fusion of genomic, proteomic and phenotypic data: the case of potyviruses

How to simulate normal data sets with the desired correlation structure

Integration of colour and textural information in multivariate image analysis: defect detection and classification issues

Latent Structures-Based Multivariate Statistical Process Control: A Paradigm Shift

MCR-ALS on metabolic networks: Obtaining more meaningful pathways

MIA and NIR Chemical Imaging for pharmaceutical product characterization

MVBatch: A matlab toolbox for batch process modeling and monitoring

Metabolic flux understanding of Pichia pastoris grown on heterogenous culture media

Missing Data Imputation Toolbox for MATLAB

Multi-phase analysis framework for handling batch process data

Multisynchro: a novel approach for batch synchronization in scenarios of multiple asynchronisms

Multivariate SPC of a sequencing batch reactor for wastewater treatment

Multivariate image analysis: A review with applications

N-way modeling for wavelet filter determination in multivariate image analysis

NIR hyperspectral imaging to evaluate degradation in captopril commercial tablets

Near infrared hyperspectral imaging for forensic analysis of document forgery.

PCA model building with missing data: New proposals and a comparative study

PLS: A versatile tool for industrial process improvement and optimization

Performance evaluation of soft color texture descriptors for surface grading using experimental design and logistic regression

Pixel classification methods for identifying and quantifying leaf surface injury from digital images

Prediction of skin quality properties by different Multivariate Image Analysis methodologies

Principal elementary mode analysis (PEMA).

Process understanding of a wastewater batch reactor with block-wise PLS

Prostate Diffusion Weighted-Magnetic Resonance Image analysis using Multivariate Curve Resolution methods

Prostate functional magnetic resonance image analysis using multivariate curve resolution methods

Pseudo-sample based contribution plots: innovative tools for fault diagnosis in kernel-based batch process monitoring

Real-time synchronization of batch trajectories for on-line multivariate statistical process control using Dynamic Time Warping

Rejoinder

Self-tuning run to run optimization of fed-batch processes using unfold-PLS

Sparse N-way partial least squares with R package sNPLS

Statistical process control based on Multivariate Image Analysis: A new proposal for monitoring and defect detection

The best approaches in the on-line monitoring of batch processes based on PCA: Does the modelling structure matter?

Topology analysis and visualization of Potyvirus protein-protein interaction network

Uniformity of SCC properties cast in vertical column

Using Unfold-PCA for batch-to-batch start-up process understanding and steady-state identification in a sequencing batch reactor

Using warping information for batch process monitoring and fault classification

VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits

Variable selection for multifactorial genomic data

maSigPro: a method to identify significantly differential expression profiles in time-course microarray experiments

‘Nonstationarity in statistical process control - issues, cases, ideas’ by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker