Image-based classification of paper surface quality using wavelet texture analysis. - Marco S. Reis; Armin Bauer (Comput. Chem. Eng., 2010)

Statistical monitoring of control loops performance: an improved historical-data benchmark index. - Tiago J. Rato; Marco S. Reis (Qual. Reliab. Eng. Int., 2010)

A large-scale statistical process control approach for the monitoring of electronic devices assemblage. - Marco S. Reis; Pedro Delgado (Comput. Chem. Eng., 2012)

Development of Generalized Platforms for the Analysis of Complex Datasets. - Véronique M. Gomes; Ana C. Pereira 002; Pedro M. Saraiva; Marco S. Reis (Qual. Reliab. Eng. Int., 2012)

Non-causal data-driven monitoring of the process correlation structure: A comparison study with new methods. - Tiago J. Rato; Marco S. Reis (Comput. Chem. Eng., 2014)

A Comparison Study of Single-Scale and Multiscale Approaches for Data-Driven and Model-Based Online Denoising. - Ricardo R. Rendall; Marco S. Reis (Qual. Reliab. Eng. Int., 2014)

Identifying Strong Statistical Bias in the Local Structure of Metabolic Networks - The Metabolic Network of Saccharomyces Cerevisiae as a Test Case. - Paulo A. N. Dias; Marco Seabra dos Reis; Pedro Martins; Armindo Salvador (BIOINFORMATICS, 2015)

The ENBIS-14 Quality and Reliability Engineering International Special Issue. - Irena Ograjensek; Marco Seabra dos Reis (Qual. Reliab. Eng. Int., 2015)

How Can SMEs Benefit from Big Data? Challenges and a Path Forward. - Shirley Coleman; Rainer Göb; Giuseppe Manco 001; Antonio Pievatolo; Xavier Tort-Martorell; Marco Seabra dos Reis (Qual. Reliab. Eng. Int., 2016)

A comparison of advanced regression techniques for predicting ship CO2 emissions. - Antonio Lepore; Marco Seabra dos Reis; Biagio Palumbo; Ricardo R. Rendall; Christian Capezza (Qual. Reliab. Eng. Int., 2017)

Translation-Invariant Multiscale Energy-Based PCA for Monitoring Batch Processes in Semiconductor Manufacturing. - Tiago J. Rato; Jakey Blue; Jacques Pinaton; Marco S. Reis (IEEE Trans Autom. Sci. Eng., 2017)

Virtual Metrology Modeling based on Gaussian Bayesian Network. - Wei-Ting Yang; Jakey Blue; Agnès Roussy; Marco S. Reis; Jacques Pinaton (WSC, 2018)

SS-DAC: A systematic framework for selecting the best modeling approach and pre-processing for spectroscopic data. - Tiago J. Rato; Marco S. Reis (Comput. Chem. Eng., 2019)

Optimal fusion of industrial data streams with different granularities. - Tiago J. Rato; Marco S. Reis (Comput. Chem. Eng., 2019)

Data-driven methods for batch data analysis - A critical overview and mapping on the complexity scale. - Ricardo R. Rendall; Leo H. Chiang; Marco S. Reis (Comput. Chem. Eng., 2019)

Wide spectrum feature selection (WiSe) for regression model building. - Ricardo R. Rendall; Ivan Castillo; Alix Schmidt; Swee-Teng Chin; Leo H. Chiang; Marco S. Reis (Comput. Chem. Eng., 2019)

Predictive analytics in the petrochemical industry: Research Octane Number (RON) forecasting and analysis in an industrial catalytic reforming unit. - Tiago Dias 005; Rodolfo Oliveira; Pedro M. Saraiva; Marco S. Reis (Comput. Chem. Eng., 2020)

A physics-informed Run-to-Run control framework for semiconductor manufacturing. - Wei-Ting Yang; Jakey Blue; Agnès Roussy; Jacques Pinaton; Marco S. Reis (Expert Syst. Appl., 2020)

A Structure Data-Driven Framework for Virtual Metrology Modeling. - Wei-Ting Yang; Jakey Blue; Agnès Roussy; Jacques Pinaton; Marco S. Reis (IEEE Trans Autom. Sci. Eng., 2020)

Data-centric process systems engineering: A push towards PSE 4.0. - Marco S. Reis; Pedro M. Saraiva (Comput. Chem. Eng., 2021)

Recent trends on hybrid modeling for Industry 4.0. - Joel Sansana; Mark N. Joswiak; Ivan Castillo; Zhenyu Wang; Ricardo R. Rendall; Leo H. Chiang; Marco S. Reis (Comput. Chem. Eng., 2021)

PAT soft sensors for wide range prediction of key properties of diesel fuels and blending components for the oil industry. - Daniela C. M. de Souza; Luís Cabrita; Cláudia F. Galinha; Marco S. Reis (Comput. Chem. Eng., 2021)

A Spectral AutoML approach for industrial soft sensor development: Validation in an oil refinery plant. - Daniela C. M. de Souza; Luís Cabrita; Cláudia F. Galinha; Tiago J. Rato; Marco S. Reis (Comput. Chem. Eng., 2021)

Continuous assessment of data sources quality for improving the resilience of multisource fusion platforms. - Eugeniu Strelet; Zhenyu Wang; You Peng; Ivan Castillo; Ricardo R. Rendall; Birgit Braun; Leo H. Chiang; Marco S. Reis (ACC, 2022)

Data-Driven Process System Engineering-Contributions to its consolidation following the path laid down by George Stephanopoulos. - Marco S. Reis; Pedro M. Saraiva (Comput. Chem. Eng., 2022)

Cluster analysis of crude oils with k-means based on their physicochemical properties. - André Mendes Sancho; J. C. Ribeiro; Marco S. Reis; Fernando Gomes Martins (Comput. Chem. Eng., 2022)

Forecasting the research octane number in a Continuous Catalyst Regeneration (CCR) reformer. - Tiago Dias 005; Rodolfo Oliveira; Pedro M. Saraiva; Marco S. Reis (Qual. Reliab. Eng. Int., 2022)

0-Dimensional Persistent Homology Analysis Implementation in Resource-Scarce Embedded Systems. - Sérgio Branco; João G. Carvalho; Marco S. Reis; Nuno V. Lopes; Jorge Cabral 001 (Sensors, 2022)

Linear and Non-Linear Soft Sensors for Predicting the Research Octane Number (RON) through Integrated Synchronization, Resolution Selection and Modelling. - Tiago Dias 005; Rodolfo Oliveira; Pedro M. Saraiva; Marco S. Reis (Sensors, 2022)

Robust optimization and data-driven modeling of tissue paper packing considering cargo deformation. - João P. L. Coutinho; Marco S. Reis; Diogo Filipe Martins Gonçalves Neves; Fernando P. Bernardo (Comput. Ind. Eng., 2023)

Bayesian Optimization for automatic tuning of digital multi-loop PID controllers. - João P. L. Coutinho; Lino O. Santos; Marco S. Reis (Comput. Chem. Eng., 2023)

Persistence Landscapes - Implementing a Dataset Verification Method in Resource-Scarce Embedded Systems. - Sérgio Branco; Ertugrul Dogruluk; João G. Carvalho; Marco S. Reis; Jorge Cabral 001 (Comput., 2023)

Accelerated controller tuning using human feedback and Multi-Task Preferential Bayesian Optimization. - João P. L. Coutinho; You Peng; Ricardo R. Rendall; Caterina Rizzo; Kaiwen Ma; Swee-Teng Chin; Ivan Castillo; Marco S. Reis (ACC, 2025)

Mixed-Integer Multi-objective Programming for Intermodal Supply Chain Design. - Marco Marto; Valentina Chkoniya; Eduardo B. Couto; Telmo Pinto 001; Marco S. Reis; Agostinho Agra (ICCSA (Workshops 3), 2025)