Marco S. Reis

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 22

Top Topics

Physicochemical Properties

Persistent Homology

Top Venues

Comput. Chem. Eng.

IEEE Trans Autom. Sci. Eng.

Qual. Reliab. Eng. Int.

Publications

João P. L. Coutinho, Marco S. Reis, Diogo Filipe Martins Gonçalves Neves, Fernando P. Bernardo
Robust optimization and data-driven modeling of tissue paper packing considering cargo deformation. Comput. Ind. Eng. 175 (2023)
João P. L. Coutinho, Lino O. Santos, Marco S. Reis
Bayesian Optimization for automatic tuning of digital multi-loop PID controllers. Comput. Chem. Eng. 173 (2023)
Sérgio Branco, Ertugrul Dogruluk, João G. Carvalho, Marco S. Reis, Jorge Cabral
Persistence Landscapes - Implementing a Dataset Verification Method in Resource-Scarce Embedded Systems. Comput. 12 (6) (2023)
Eugeniu Strelet, Zhenyu Wang, You Peng, Ivan Castillo, Ricardo R. Rendall, Birgit Braun, Leo H. Chiang, Marco S. Reis
Continuous assessment of data sources quality for improving the resilience of multisource fusion platforms. ACC (2022)
Marco S. Reis, Pedro M. Saraiva
Data-Driven Process System Engineering-Contributions to its consolidation following the path laid down by George Stephanopoulos. Comput. Chem. Eng. 159 (2022)
A. Sancho, J. C. Ribeiro, Marco S. Reis, F. G. Martins
Cluster analysis of crude oils with k-means based on their physicochemical properties. Comput. Chem. Eng. 157 (2022)
Sérgio Branco, João G. Carvalho, Marco S. Reis, Nuno V. Lopes, Jorge Cabral
0-Dimensional Persistent Homology Analysis Implementation in Resource-Scarce Embedded Systems. Sensors 22 (10) (2022)
Tiago Dias, Rodolfo Oliveira, Pedro M. Saraiva, Marco S. Reis
Forecasting the research octane number in a Continuous Catalyst Regeneration (CCR) reformer. Qual. Reliab. Eng. Int. 38 (3) (2022)
Tiago Dias, Rodolfo Oliveira, Pedro M. Saraiva, Marco S. Reis
Linear and Non-Linear Soft Sensors for Predicting the Research Octane Number (RON) through Integrated Synchronization, Resolution Selection and Modelling. Sensors 22 (10) (2022)
Marco S. Reis, Pedro M. Saraiva
Data-centric process systems engineering: A push towards PSE 4.0. Comput. Chem. Eng. 155 (2021)
Daniela C. M. de Souza, Luís Cabrita, Cláudia F. Galinha, Marco S. Reis
PAT soft sensors for wide range prediction of key properties of diesel fuels and blending components for the oil industry. Comput. Chem. Eng. 153 (2021)
Joel Sansana, Mark N. Joswiak, Ivan Castillo, Zhenyu Wang, Ricardo R. Rendall, Leo H. Chiang, Marco S. Reis
Recent trends on hybrid modeling for Industry 4.0. Comput. Chem. Eng. 151 (2021)
Daniela C. M. de Souza, Luís Cabrita, Cláudia F. Galinha, Tiago J. Rato, Marco S. Reis
A Spectral AutoML approach for industrial soft sensor development: Validation in an oil refinery plant. Comput. Chem. Eng. 150 (2021)
Wei-Ting Yang, Jakey Blue, Agnès Roussy, Jacques Pinaton, Marco S. Reis
A physics-informed Run-to-Run control framework for semiconductor manufacturing. Expert Syst. Appl. 155 (2020)
Tiago Dias, Rodolfo Oliveira, Pedro M. Saraiva, Marco S. Reis
Predictive analytics in the petrochemical industry: Research Octane Number (RON) forecasting and analysis in an industrial catalytic reforming unit. Comput. Chem. Eng. 139 (2020)
Wei-Ting Yang, Jakey Blue, Agnès Roussy, Jacques Pinaton, Marco S. Reis
A Structure Data-Driven Framework for Virtual Metrology Modeling. IEEE Trans Autom. Sci. Eng. 17 (3) (2020)
Tiago J. Rato, Marco S. Reis
Optimal fusion of industrial data streams with different granularities. Comput. Chem. Eng. 130 (2019)
Ricardo R. Rendall, Ivan Castillo, Alix Schmidt, Swee-Teng Chin, Leo H. Chiang, Marco S. Reis
Wide spectrum feature selection (WiSe) for regression model building. Comput. Chem. Eng. 121 (2019)
Ricardo R. Rendall, Leo H. Chiang, Marco S. Reis
Data-driven methods for batch data analysis - A critical overview and mapping on the complexity scale. Comput. Chem. Eng. 124 (2019)
Tiago J. Rato, Marco S. Reis
SS-DAC: A systematic framework for selecting the best modeling approach and pre-processing for spectroscopic data. Comput. Chem. Eng. 128 (2019)
Wei-Ting Yang, Jakey Blue, Agnès Roussy, Marco S. Reis, Jacques Pinaton
Virtual Metrology Modeling based on Gaussian Bayesian Network. WSC (2018)
Tiago J. Rato, Jakey Blue, Jacques Pinaton, Marco S. Reis
Translation-Invariant Multiscale Energy-Based PCA for Monitoring Batch Processes in Semiconductor Manufacturing. IEEE Trans Autom. Sci. Eng. 14 (2) (2017)
Ricardo R. Rendall, Marco S. Reis
A Comparison Study of Single-Scale and Multiscale Approaches for Data-Driven and Model-Based Online Denoising. Qual. Reliab. Eng. Int. 30 (7) (2014)
Tiago J. Rato, Marco S. Reis
Non-causal data-driven monitoring of the process correlation structure: A comparison study with new methods. Comput. Chem. Eng. 71 (2014)
Marco S. Reis, Pedro Delgado
A large-scale statistical process control approach for the monitoring of electronic devices assemblage. Comput. Chem. Eng. 39 (2012)
Véronique M. Gomes, Ana C. Pereira, Pedro M. Saraiva, Marco S. Reis
Development of Generalized Platforms for the Analysis of Complex Datasets. Qual. Reliab. Eng. Int. 28 (5) (2012)
Marco S. Reis, Armin Bauer
Image-based classification of paper surface quality using wavelet texture analysis. Comput. Chem. Eng. 34 (12) (2010)
Tiago J. Rato, Marco S. Reis
Statistical monitoring of control loops performance: an improved historical-data benchmark index. Qual. Reliab. Eng. Int. 26 (8) (2010)