91
TITLE: Pollution by oestrogenic endocrine disruptors and beta-sitosterol in a south-western European river (Mira, Portugal)  Full Text
AUTHORS: Rocha MJ ; Catarina Cruzeiro; Mario Reis; Miguel Angelo Pardal; Rocha, Eduardo ;
PUBLISHED: 2016, SOURCE: ENVIRONMENTAL MONITORING AND ASSESSMENT, VOLUME: 188, ISSUE: 4
INDEXED IN: Scopus WOS CrossRef: 8
92
TITLE: Challenges and Future Research Directions
AUTHORS: Marco S Reis; Richard D Braatz; Leo H Chiang;
PUBLISHED: 2016, SOURCE: CHEMICAL ENGINEERING PROGRESS, VOLUME: 112, ISSUE: 3
INDEXED IN: WOS
93
TITLE: Modelling the ageing process: A novel strategy to analyze the wine evolution towards the expected features  Full Text
AUTHORS: Ana C Pereira; Maria J Carvalho; Andreia Miranda; Joao M Leca; Vanda Pereira; Francisco Albuquerque; Jose C Marques; Marco S Reis;
PUBLISHED: 2016, SOURCE: 9th Symposium on In Vino Analytica Scientia in CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, VOLUME: 154
INDEXED IN: Scopus WOS CrossRef: 5
94
TITLE: Parameter selection guidelines for adaptive PCA-based control charts. Parameter selection guidelines for adaptive PCA-based control charts  Full Text
AUTHORS: Eric Schmitt; Tiago Rato; Bart De Ketelaere; Marco Reis; Mia Hubert;
PUBLISHED: 2016, SOURCE: JOURNAL OF CHEMOMETRICS, VOLUME: 30, ISSUE: 4
INDEXED IN: WOS CrossRef: 8
95
TITLE: A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part I-Assessing Detection Strength  Full Text
AUTHORS: Tiago J Rato; Ricardo Rendall; Veronique Gomes; Swee Teng Chin; Leo H Chiang; Pedro M Saraiva; Marco S Reis;
PUBLISHED: 2016, SOURCE: 1st International Conference on Chemical and Biochemical Engineering (ICCBE) in INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, VOLUME: 55, ISSUE: 18
INDEXED IN: Scopus WOS CrossRef: 9
96
TITLE: How Can SMEs Benefit from Big Data? Challenges and a Path Forward  Full Text
AUTHORS: Shirley Coleman; Rainer Goeb; Giuseppe Manco; Antonio Pievatolo; Xavier Tort Martorell; Marco Seabra Reis;
PUBLISHED: 2016, SOURCE: 15th Annual Conference of the European-Network-for-Business-and-Industrial-Statistics (ENBIS) in QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, VOLUME: 32, ISSUE: 6
INDEXED IN: WOS
97
TITLE: An extended comparison study of large scale data-driven prediction methods based on variable selection, latent variables, penalized regression and machine learning
AUTHORS: Ricardo Rendall; Ana C Pereira ; Marco Reis;
PUBLISHED: 2016, SOURCE: 26th European Symposium on Computer Aided Process Engineering (ESCAPE) in 26TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (ESCAPE), PT B, VOLUME: 38B
INDEXED IN: Scopus WOS
98
TITLE: Managing Uncertainty Information for Improved Data-Driven Modelling
AUTHORS: Ricardo Rendall; Marco S Reis; Swee Teng Chin; Leo Chiang;
PUBLISHED: 2016, SOURCE: 26th European Symposium on Computer Aided Process Engineering (ESCAPE) in 26TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (ESCAPE), PT B, VOLUME: 38B
INDEXED IN: Scopus WOS
99
TITLE: A Systematic Comparison of PCA-based Statistical Process Monitoring Methods for High-dimensional, Time-dependent Processes  Full Text
AUTHORS: Tiago Rato; Marco Reis; Eric Schmitt; Mia Hubert; Bart De Ketelaere;
PUBLISHED: 2016, SOURCE: AICHE JOURNAL, VOLUME: 62, ISSUE: 5
INDEXED IN: WOS
100
TITLE: An integrated multiscale and multivariate image analysis framework for process monitoring of colour random textures: MSMIA  Full Text
AUTHORS: Marco S Reis;
PUBLISHED: 2015, SOURCE: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, VOLUME: 142
INDEXED IN: Scopus WOS CrossRef: 4
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