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Lista de obras de Marco S. Reis

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

artículo científico publicado en 2022

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

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

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

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

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

Integration of data uncertainty in linear regression and process optimization

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

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

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

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

artículo científico publicado en 2017

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

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