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TITLE: An interpretable unsupervised Bayesian network model for fault detection and diagnosis  Full Text
AUTHORS: Yang, Wei Ting; Reis, Marco S.; Borodin, Valeria; Juge, Michel; Roussy, Agnes;
PUBLISHED: 2022, SOURCE: CONTROL ENGINEERING PRACTICE, VOLUME: 127
INDEXED IN: Scopus WOS
22
TITLE: Foreword to the Special Issue on "Data Science in Process Industries"  Full Text
AUTHORS: Reis, Marco S.; Haselgruber, Nikolaus;
PUBLISHED: 2022, SOURCE: APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, VOLUME: 38, ISSUE: 5
INDEXED IN: Scopus WOS
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TITLE: Advanced predictive modelling applied to the chemical stabilisation of soft soils
AUTHORS: Correia, Antonio A. S.; Lopes, Luis; Reis, Marco S.;
PUBLISHED: 2022, SOURCE: PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-GEOTECHNICAL ENGINEERING, VOLUME: 175, ISSUE: 5
INDEXED IN: WOS
25
TITLE: Continuous assessment of data sources quality for improving the resilience of multisource fusion platforms
AUTHORS: Strelet, Eugeniu; Wang, Zhenyu; Peng, You; Castillo, Ivan; Rendall, Ricardo; Braun, Birgit; Chiang, Leo; Reis, Marco S.;
PUBLISHED: 2022, SOURCE: American Control Conference (ACC) in 2022 AMERICAN CONTROL CONFERENCE (ACC)
INDEXED IN: WOS
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TITLE: A Spectral AutoML approach for industrial soft sensor development: Validation in an oil refinery plant  Full Text
AUTHORS: de Souza, DCM; Cabrita, L; Galinha, CF; Rato, TJ; Reis, MS;
PUBLISHED: 2021, SOURCE: COMPUTERS & CHEMICAL ENGINEERING, VOLUME: 150
INDEXED IN: Scopus WOS
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TITLE: A scalable approach for the efficient segmentation of hyperspectral images  Full Text
AUTHORS: Soccio, A; Barbosa, JP; Reis, MS;
PUBLISHED: 2021, SOURCE: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, VOLUME: 213
INDEXED IN: Scopus WOS
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TITLE: Recent trends on hybrid modeling for Industry 4.0
AUTHORS: Sansana, J; Joswiak, MN; Castillo, I; Wang, ZY; Rendall, R; Chiang, LH; Reis, MS;
PUBLISHED: 2021, SOURCE: COMPUTERS & CHEMICAL ENGINEERING, VOLUME: 151
INDEXED IN: Scopus WOS
30
TITLE: Improving the sensitivity of statistical process monitoring of manifolds embedded in high-dimensional spaces: The truncated-Q statistic  Full Text
AUTHORS: Reis, MS; Rendall, R; Rato, TJ; Martins, C; Delgado, P;
PUBLISHED: 2021, SOURCE: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, VOLUME: 215
INDEXED IN: WOS
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