Marco S. Reis

32 papers C 2Misc 1Journal 28Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Systematic Lean-Driven Framework for Warehouse Optimization.
Syst.
Bruno J. B. Julião, Marco S. Reis, Belmiro P. M. Duarte
2025 C conf
Accelerated controller tuning using human feedback and Multi-Task Preferential Bayesian Optimization.
ACC
João P. L. Coutinho, You Peng, Ricardo R. Rendall, Caterina Rizzo, Kaiwen Ma, Swee-Teng Chin, Ivan Castillo, Marco S. Reis
2025 J jnl
Causality in Process Systems Engineering: Fundamentals, Applications, and Emerging Trends.
Comput. Chem. Eng.
Rodrigo Paredes, Marco S. Reis
2025 — conf
Mixed-Integer Multi-objective Programming for Intermodal Supply Chain Design.
ICCSA (Workshops 3)
Marco Marto, Valentina Chkoniya, Eduardo B. Couto, Telmo Pinto, Marco S. Reis, Agostinho Agra
2023 J jnl
Bayesian Optimization for automatic tuning of digital multi-loop PID controllers.
Comput. Chem. Eng.
João P. L. Coutinho, Lino O. Santos, Marco S. Reis
2023 J jnl
Persistence Landscapes - Implementing a Dataset Verification Method in Resource-Scarce Embedded Systems.
Comput.
Sérgio Branco, Ertugrul Dogruluk, João G. Carvalho, Marco S. Reis, Jorge Cabral
2023 J jnl
Robust optimization and data-driven modeling of tissue paper packing considering cargo deformation.
Comput. Ind. Eng.
João P. L. Coutinho, Marco S. Reis, Diogo Filipe Martins Gonçalves Neves, Fernando P. Bernardo
2022 J jnl
0-Dimensional Persistent Homology Analysis Implementation in Resource-Scarce Embedded Systems.
Sensors
Sérgio Branco, João G. Carvalho, Marco S. Reis, Nuno V. Lopes, Jorge Cabral
2022 J jnl
Cluster analysis of crude oils with k-means based on their physicochemical properties.
Comput. Chem. Eng.
André Mendes Sancho, J. C. Ribeiro, Marco S. Reis, Fernando Gomes Martins
2022 C conf
Continuous assessment of data sources quality for improving the resilience of multisource fusion platforms.
ACC
Eugeniu Strelet, Zhenyu Wang, You Peng, Ivan Castillo, Ricardo R. Rendall, Birgit Braun, Leo H. Chiang, Marco S. Reis
2022 J jnl
Data-Driven Process System Engineering-Contributions to its consolidation following the path laid down by George Stephanopoulos.
Comput. Chem. Eng.
Marco S. Reis, Pedro M. Saraiva
2022 J jnl
Forecasting the research octane number in a Continuous Catalyst Regeneration (CCR) reformer.
Qual. Reliab. Eng. Int.
Tiago Dias, Rodolfo Oliveira, Pedro M. Saraiva, Marco S. Reis
2022 J jnl
Linear and Non-Linear Soft Sensors for Predicting the Research Octane Number (RON) through Integrated Synchronization, Resolution Selection and Modelling.
Sensors
Tiago Dias, Rodolfo Oliveira, Pedro M. Saraiva, Marco S. Reis
2021 J jnl
A Spectral AutoML approach for industrial soft sensor development: Validation in an oil refinery plant.
Comput. Chem. Eng.
Daniela C. M. de Souza, Luís Cabrita, Cláudia F. Galinha, Tiago J. Rato, Marco S. Reis
2021 J jnl
Data-centric process systems engineering: A push towards PSE 4.0.
Comput. Chem. Eng.
Marco S. Reis, Pedro M. Saraiva
2021 J jnl
PAT soft sensors for wide range prediction of key properties of diesel fuels and blending components for the oil industry.
Comput. Chem. Eng.
Daniela C. M. de Souza, Luís Cabrita, Cláudia F. Galinha, Marco S. Reis
2021 J jnl
Recent trends on hybrid modeling for Industry 4.0.
Comput. Chem. Eng.
Joel Sansana, Mark N. Joswiak, Ivan Castillo, Zhenyu Wang, Ricardo R. Rendall, Leo H. Chiang, Marco S. Reis
2020 J jnl
A Structure Data-Driven Framework for Virtual Metrology Modeling.
IEEE Trans Autom. Sci. Eng.
Wei-Ting Yang, Jakey Blue, Agnès Roussy, Jacques Pinaton, Marco S. Reis
2020 J jnl
A physics-informed Run-to-Run control framework for semiconductor manufacturing.
Expert Syst. Appl.
Wei-Ting Yang, Jakey Blue, Agnès Roussy, Jacques Pinaton, Marco S. Reis
2020 J jnl
Predictive analytics in the petrochemical industry: Research Octane Number (RON) forecasting and analysis in an industrial catalytic reforming unit.
Comput. Chem. Eng.
Tiago Dias, Rodolfo Oliveira, Pedro M. Saraiva, Marco S. Reis
2019 J jnl
Data-driven methods for batch data analysis - A critical overview and mapping on the complexity scale.
Comput. Chem. Eng.
Ricardo R. Rendall, Leo H. Chiang, Marco S. Reis
2019 J jnl
Optimal fusion of industrial data streams with different granularities.
Comput. Chem. Eng.
Tiago J. Rato, Marco S. Reis
2019 J jnl
SS-DAC: A systematic framework for selecting the best modeling approach and pre-processing for spectroscopic data.
Comput. Chem. Eng.
Tiago J. Rato, Marco S. Reis
2019 J jnl
Wide spectrum feature selection (WiSe) for regression model building.
Comput. Chem. Eng.
Ricardo R. Rendall, Ivan Castillo, Alix Schmidt, Swee-Teng Chin, Leo H. Chiang, Marco S. Reis
2018 Misc conf
Virtual Metrology Modeling based on Gaussian Bayesian Network.
WSC
Wei-Ting Yang, Jakey Blue, Agnès Roussy, Marco S. Reis, Jacques Pinaton
2017 J jnl
Translation-Invariant Multiscale Energy-Based PCA for Monitoring Batch Processes in Semiconductor Manufacturing.
IEEE Trans Autom. Sci. Eng.
Tiago J. Rato, Jakey Blue, Jacques Pinaton, Marco S. Reis
2014 J jnl
A Comparison Study of Single-Scale and Multiscale Approaches for Data-Driven and Model-Based Online Denoising.
Qual. Reliab. Eng. Int.
Ricardo R. Rendall, Marco S. Reis
2014 J jnl
Non-causal data-driven monitoring of the process correlation structure: A comparison study with new methods.
Comput. Chem. Eng.
Tiago J. Rato, Marco S. Reis
2012 J jnl
A large-scale statistical process control approach for the monitoring of electronic devices assemblage.
Comput. Chem. Eng.
Marco S. Reis, Pedro Delgado
2012 J jnl
Development of Generalized Platforms for the Analysis of Complex Datasets.
Qual. Reliab. Eng. Int.
Véronique M. Gomes, Ana C. Pereira, Pedro M. Saraiva, Marco S. Reis
2010 J jnl
Image-based classification of paper surface quality using wavelet texture analysis.
Comput. Chem. Eng.
Marco S. Reis, Armin Bauer
2010 J jnl
Statistical monitoring of control loops performance: an improved historical-data benchmark index.
Qual. Reliab. Eng. Int.
Tiago J. Rato, Marco S. Reis