Lista de obras - Marco S. Reis - Dominio Público Uruguay

0-Dimensional Persistent Homology Analysis Implementation in Resource-Scarce Embedded Systems

artículo científico publicado en 2022

A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part II—Assessing Detection Speed

A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part I—Assessing Detection Strength

A Unifying and Integrated Framework for Feature Oriented Analysis of Batch Processes

A comparative study of linear regression methods in noisy environments

scholarly article by Marco S. Reis & Pedro M. Saraiva published December 2004 in Journal of Chemometrics

A data-driven approach for the study of coagulation phenomena in waste lubricant oils and its relevance in alkaline regeneration treatments

artículo científico publicado en 2017

A large-scale statistical process control approach for the monitoring of electronic devices assemblage

A structured overview on the use of computational simulators for teaching statistical methods

Accounting for measurement uncertainties in industrial data analysis

Advanced predictive methods for wine age prediction: Part I - A comparison study of single-block regression approaches based on variable selection, penalized regression, latent variables and tree-based ensemble methods.

artículo científico publicado en 2016

Advanced predictive methods for wine age prediction: Part II - A comparison study of multiblock regression approaches

artículo científico publicado en 2017

Advantage of Using Decorrelated Residuals in Dynamic Principal Component Analysis for Monitoring Large-Scale Systems

An Extended Comparative Study of Two- and Three-Way Methodologies for the On-line Monitoring of Batch Processes

An extended comparison study of large scale datadriven prediction methods based on variable selection, latent variables, penalized regression and machine learning

scholarly article by Ricardo Rendall et al published 2016 in Computer Aided Chemical Engineering

Analysis and Classification of the Paper Surface

article

Analysis and assessment of Madeira wine ageing over an extended time period through GC-MS and chemometric analysis

artículo científico publicado en 2009

Aroma ageing trends in GC/MS profiles of liqueur wines

artículo científico publicado en 2009

Assessing the value of information of data-centric activities in the chemical processing industry 4.0

Assessment of co-composting process with high load of an inorganic industrial waste

artículo científico publicado en 2016

Building Optimal Multiresolution Soft Sensors for Continuous Processes

Chemometric analysis of the volatile fraction evolution of Portuguese beer under shelf storage conditions

article

Defining the structure of DPCA models and its impact on process monitoring and prediction activities

Definitive Screening Designs and latent variable modelling for the optimization of solid phase microextraction (SPME): Case study - Quantification of volatile fatty acids in wines

Design of Experiments: A comparison study from the non-expert user's perspective

Development of Generalized Platforms for the Analysis of Complex Datasets

article

Development of a fast and reliable method for long- and short-term wine age prediction.

artículo científico publicado en 2011

Development of semitransparent wood-polymer composites

article

Evaluation of the presence of major anionic surfactants in marine sediments.

artículo científico publicado en 2012

Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)

article published in 2013

Generalized Multiresolution Decomposition Frameworks for the Analysis of Industrial Data with Uncertainty and Missing Values

Heteroscedastic latent variable modelling with applications to multivariate statistical process control

How Can SMEs Benefit from Big Data? Challenges and a Path Forward

Image-based classification of paper surface quality using wavelet texture analysis

article

Image-based manufacturing analytics: Improving the accuracy of an industrial pellet classification system using deep neural networks

Integrating data uncertainty in multiresolution analysis

Integration of data uncertainty in linear regression and process optimization

scholarly article by Marco S. Reis & Pedro M. Saraiva published 2005 in AIChE Journal

Madeira wine ageing prediction based on different analytical techniques: UV–vis, GC-MS, HPLC-DAD

article by Ana C. Pereira et al published January 2011 in Chemometrics and Intelligent Laboratory Systems

Modelling the ageing process: A novel strategy to analyze the wine evolution towards the expected features

article by Ana C. Pereira et al published May 2016 in Chemometrics and Intelligent Laboratory Systems

Multi-target optimization of solid phase microextraction to analyse key flavour compounds in wort and beer

artículo científico publicado en 2020

Multiresolution Soft Sensors: A New Class of Model Structures for Handling Multiresolution Data

article by Tiago J. Rato & Marco S. Reis published 27 March 2017 in Industrial & Engineering Chemistry Research

Multiscale SPC in the presence of multiresolution data

Multiscale analysis and monitoring of paper surface

article

Multiscale statistical process control using wavelet packets

Multiscale statistical process control with multiresolution data

article published in 2006

Multivariate Statistical Monitoring of Wine Ageing Processes

article by Ana C. Pereira et al published 2010 in Computer Aided Chemical Engineering

Non-causal data-driven monitoring of the process correlation structure: A comparison study with new methods

On-line process monitoring using local measures of association. Part II: Design issues and fault diagnosis

On-line process monitoring using local measures of association: Part I — Detection performance

article published in 2015

Optimal design of experiments applied to headspace solid phase microextraction for the quantification of vicinal diketones in beer through gas chromatography-mass spectrometric detection

artículo científico publicado en 2015

Optimal selection of time resolution for batch data analysis. Part I: Predictive modeling

Paper superficial waviness: Conception and implementation of an industrial statistical measurement system

article

Prediction of Profiles in the Process Industries

Quality Control of Food Products using Image Analysis and Multivariate Statistical Tools

article

Retrospective Quality by Design (rQbD) applied to the optimization of orodispersible films

artículo científico publicado en 2017

Sensor Fusion with Irregular Sampling and Varying Measurement Delays ⬇️

scholarly article

Statistical Process Control of Multivariate Systems with Autocorrelation

Statistical monitoring of control loops performance: an improved historical-data benchmark index

Using Wavelet Texture Analysis in Image-Based Classification and Statistical Process Control of Paper Surface Quality

article

Wavelet texture analysis of on-line acquired images for paper formation assessment and monitoring

article

Which regression method to use? Making informed decisions in “data-rich/knowledge poor” scenarios – The Predictive Analytics Comparison framework (PAC)

Lista de obras de Marco S. Reis

0-Dimensional Persistent Homology Analysis Implementation in Resource-Scarce Embedded Systems

A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part II—Assessing Detection Speed

A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part I—Assessing Detection Strength

A Unifying and Integrated Framework for Feature Oriented Analysis of Batch Processes

A comparative study of linear regression methods in noisy environments

A data-driven approach for the study of coagulation phenomena in waste lubricant oils and its relevance in alkaline regeneration treatments

A large-scale statistical process control approach for the monitoring of electronic devices assemblage

A structured overview on the use of computational simulators for teaching statistical methods

Accounting for measurement uncertainties in industrial data analysis

Advanced predictive methods for wine age prediction: Part I - A comparison study of single-block regression approaches based on variable selection, penalized regression, latent variables and tree-based ensemble methods.

Advanced predictive methods for wine age prediction: Part II - A comparison study of multiblock regression approaches

Advantage of Using Decorrelated Residuals in Dynamic Principal Component Analysis for Monitoring Large-Scale Systems

An Extended Comparative Study of Two- and Three-Way Methodologies for the On-line Monitoring of Batch Processes

An extended comparison study of large scale datadriven prediction methods based on variable selection, latent variables, penalized regression and machine learning

Analysis and Classification of the Paper Surface

Analysis and assessment of Madeira wine ageing over an extended time period through GC-MS and chemometric analysis

Aroma ageing trends in GC/MS profiles of liqueur wines

Assessing the value of information of data-centric activities in the chemical processing industry 4.0

Assessment of co-composting process with high load of an inorganic industrial waste

Building Optimal Multiresolution Soft Sensors for Continuous Processes

Chemometric analysis of the volatile fraction evolution of Portuguese beer under shelf storage conditions

Defining the structure of DPCA models and its impact on process monitoring and prediction activities

Definitive Screening Designs and latent variable modelling for the optimization of solid phase microextraction (SPME): Case study - Quantification of volatile fatty acids in wines

Design of Experiments: A comparison study from the non-expert user's perspective

Development of Generalized Platforms for the Analysis of Complex Datasets

Development of a fast and reliable method for long- and short-term wine age prediction.

Development of semitransparent wood-polymer composites

Evaluation of the presence of major anionic surfactants in marine sediments.

Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)

Generalized Multiresolution Decomposition Frameworks for the Analysis of Industrial Data with Uncertainty and Missing Values

Heteroscedastic latent variable modelling with applications to multivariate statistical process control

How Can SMEs Benefit from Big Data? Challenges and a Path Forward

Image-based classification of paper surface quality using wavelet texture analysis

Image-based manufacturing analytics: Improving the accuracy of an industrial pellet classification system using deep neural networks

Integrating data uncertainty in multiresolution analysis

Integration of data uncertainty in linear regression and process optimization

Madeira wine ageing prediction based on different analytical techniques: UV–vis, GC-MS, HPLC-DAD

Modelling the ageing process: A novel strategy to analyze the wine evolution towards the expected features

Multi-target optimization of solid phase microextraction to analyse key flavour compounds in wort and beer

Multiresolution Soft Sensors: A New Class of Model Structures for Handling Multiresolution Data

Multiscale SPC in the presence of multiresolution data

Multiscale analysis and monitoring of paper surface

Multiscale statistical process control using wavelet packets

Multiscale statistical process control with multiresolution data

Multivariate Statistical Monitoring of Wine Ageing Processes

Non-causal data-driven monitoring of the process correlation structure: A comparison study with new methods

On-line process monitoring using local measures of association. Part II: Design issues and fault diagnosis

On-line process monitoring using local measures of association: Part I — Detection performance

Optimal design of experiments applied to headspace solid phase microextraction for the quantification of vicinal diketones in beer through gas chromatography-mass spectrometric detection

Optimal selection of time resolution for batch data analysis. Part I: Predictive modeling

Paper superficial waviness: Conception and implementation of an industrial statistical measurement system

Prediction of Profiles in the Process Industries

Quality Control of Food Products using Image Analysis and Multivariate Statistical Tools

Retrospective Quality by Design (rQbD) applied to the optimization of orodispersible films

Sensor Fusion with Irregular Sampling and Varying Measurement Delays ⬇️

Statistical Process Control of Multivariate Systems with Autocorrelation

Statistical monitoring of control loops performance: an improved historical-data benchmark index

Using Wavelet Texture Analysis in Image-Based Classification and Statistical Process Control of Paper Surface Quality

Wavelet texture analysis of on-line acquired images for paper formation assessment and monitoring

Which regression method to use? Making informed decisions in “data-rich/knowledge poor” scenarios – The Predictive Analytics Comparison framework (PAC)

Wide spectrum feature selection (WiSe) for regression model building

“Mega”-variate statistical process control in electronic devices assembling