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Ricardo Alberto Reis Silva Rendall. É Doutorando no(a) Universidade de Coimbra Departamento de Engenharia Quimica.
Identification

Personal identification

Full name
Ricardo Alberto Reis Silva Rendall

Citation names

  • Rendall, Ricardo

Author identifiers

Ciência ID
5815-454C-13A6
Education
Degree Classification
2008/09/01 - 2013/07/17
Concluded
Engenharia Química (Mestrado integrado)
Major in Processo, Ambiente e Energia
Universidade de Coimbra Departamento de Engenharia Quimica, Portugal
"Comparação de abordagens monoescala e multiescala baseadas em dados e modelos para a filtragem de sinais em linha" (THESIS/DISSERTATION)
16
Affiliation

Others

Category
Host institution
Employer
2014/09/01 - Current Doutorando Universidade de Coimbra Departamento de Engenharia Quimica, Portugal
Outputs

Publications

Conference paper
  1. Rendall, Ricardo; Reis, Marco S.; Chin, Swee-Teng; Chiang, Leo. "Managing Uncertainty Information for Improved Data-Driven Modelling". Paper presented in Computer Aided Chemical Engineering, 2016.
    Published
Conference poster
  1. Rendall, Ricardo. "Window-based feature methods for end-of-batch quality predictionChempor". Paper presented in Chempor, 2018.
  2. Rendall, Ricardo. "Profile-driven Features for Offline Quality Prediction in Batch Processes". 2017.
  3. Rendall, Ricardo. "On the use of predictive methods for ship fuel consumption analysis from massive on-board operational data". Paper presented in SIS, 2017.
  4. Rendall, Ricardo. "Managing uncertainty information for Improved Data-Driven Modelling". Paper presented in ESCAPE, 2016.
  5. Rendall, Ricardo. "A Comparison Study of Single-Scale and Multiscale Approaches for Data-Driven and Model-Based On-line Denoising". Paper presented in Chempor, 2014.
Journal article
  1. Rendall, Ricardo; Chiang, Leo H.; Reis, Marco S.. "Data-driven methods for batch data analysis – A critical overview and mapping on the complexity scale". Computers & Chemical Engineering 124 (2019): 1-13. http://dx.doi.org/10.1016/j.compchemeng.2019.01.014.
    10.1016/j.compchemeng.2019.01.014
  2. Rendall, Ricardo; Castillo, Ivan; Schmidt, Alix; Chin, Swee-Teng; Chiang, Leo H.; Reis, Marco. "Wide spectrum feature selection (WiSe) for regression model building". Computers & Chemical Engineering 121 (2019): 99-110. http://dx.doi.org/10.1016/j.compchemeng.2018.10.005.
    Published • 10.1016/j.compchemeng.2018.10.005
  3. Rendall, Ricardo; Reis, Marco S.. "Which regression method to use? Making informed decisions in “data-rich/knowledge poor” scenarios – The Predictive Analytics Comparison framework (PAC)". Chemometrics and Intelligent Laboratory Systems 181 (2018): 52-63. http://dx.doi.org/10.1016/j.chemolab.2018.08.004.
    Published • 10.1016/j.chemolab.2018.08.004
  4. Rendall, Ricardo; Castillo, Ivan; Lu, Bo; Colegrove, Brenda; Broadway, Michael; Chiang, Leo H.; Reis, Marco S.. "Image-based manufacturing analytics: Improving the accuracy of an industrial pellet classification system using deep neural networks". Chemometrics and Intelligent Laboratory Systems 180 (2018): 26-35. http://dx.doi.org/10.1016/j.chemolab.2018.07.001.
    10.1016/j.chemolab.2018.07.001
  5. Rato, Tiago J.; Rendall, Ricardo; Gomes, Veronique; Saraiva, Pedro M.; Reis, Marco S.. "A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part II—Assessing Detection Speed". Industrial & Engineering Chemistry Research 57 15 (2018): 5338-5350. http://dx.doi.org/10.1021/acs.iecr.7b04911.
    Published • 10.1021/acs.iecr.7b04911
  6. Rendall, Ricardo; Pereira, Ana Cristina; Reis, Marco S.. "Advanced predictive methods for wine age prediction: Part I – A comparison study of single-block regression approaches based on variable selection, penalized regression, latent variables and tree-based ensemble methods". Talanta 171 (2017): 341-350. http://dx.doi.org/10.1016/j.talanta.2016.10.062.
    Published • 10.1016/j.talanta.2016.10.062
  7. Rendall, Ricardo; Lu, Bo; Castillo, Ivan; Chin, Swee-Teng; Chiang, Leo H.; Reis, Marco S.. "A Unifying and Integrated Framework for Feature Oriented Analysis of Batch Processes". Industrial & Engineering Chemistry Research 56 30 (2017): 8590-8605. http://dx.doi.org/10.1021/acs.iecr.6b04553.
    Published • 10.1021/acs.iecr.6b04553
  8. Lepore, Antonio; dos Reis, Marco Seabra; Palumbo, Biagio; Rendall, Ricardo; Capezza, Christian. "A comparison of advanced regression techniques for predicting ship CO2 emissions". Quality and Reliability Engineering International 33 6 (2017): 1281-1292. http://dx.doi.org/10.1002/qre.2171.
    Published • 10.1002/qre.2171
  9. Pinheiro, Carolina T.; Rendall, Ricardo; Quina, Margarida J.; Reis, Marco S.; Gando-Ferreira, Licínio M.. "Assessment and Prediction of Lubricant Oil Properties Using Infrared Spectroscopy and Advanced Predictive Analytics". Energy & Fuels 31 1 (2016): 179-187. http://dx.doi.org/10.1021/acs.energyfuels.6b01958.
    Published • 10.1021/acs.energyfuels.6b01958
  10. Rato, Tiago J.; Rendall, Ricardo; Gomes, Veronique; Chin, Swee-Teng; Chiang, Leo H.; Saraiva, Pedro M.; Reis, Marco S.. "A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part I—Assessing Detection Strength". Industrial & Engineering Chemistry Research 55 18 (2016): 5342-5358. http://dx.doi.org/10.1021/acs.iecr.5b04851.
    Published • 10.1021/acs.iecr.5b04851
  11. Reis, Marco S.; Rendall, Ricardo; Chin, Swee-Teng; Chiang, Leo. "Challenges in the Specification and Integration of Measurement Uncertainty in the Development of Data-Driven Models for the Chemical Processing Industry". Industrial & Engineering Chemistry Research 54 37 (2015): 9159-9177. http://dx.doi.org/10.1021/ie504577d.
    Published • 10.1021/ie504577d
  12. Rendall, Ricardo; Reis, Marco S.; Pereira, Ana Cristina; Pestana, Cristina; Pereira, Vanda; Marques, José Carlos. "Chemometric analysis of the volatile fraction evolution of Portuguese beer under shelf storage conditions". Chemometrics and Intelligent Laboratory Systems 142 (2015): 131-142. http://dx.doi.org/10.1016/j.chemolab.2015.01.015.
    Published • 10.1016/j.chemolab.2015.01.015
  13. Rendall, Ricardo R.; Reis, Marco S.. "A Comparison Study of Single-Scale and Multiscale Approaches for Data-Driven and Model-Based Online Denoising". Quality and Reliability Engineering International 30 7 (2014): 935-950. http://dx.doi.org/10.1002/qre.1709.
    Published • 10.1002/qre.1709
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2017 Feature Selection: Filtering Methods for Regression International Chemometrics Research Meeting
2016 Parsimonious Modeling Approaches for Batch Process Analysis AIChE Annual Meeting
2016 An extended comparison study of large scale data-driven prediction methods based on variable selection, latent variables, penalized regression and machine learning ESCAPE
2015 An Extensive Comparison Study of Batch Process Monitoring Approaches
2014 ENBIS challenge by JMP ENBIS
2014 Exploiting Uncertainty Information for Empirical Model Building in Process Industries ENBIS
2013 A comparison study of on-line data-driven and model-based denoising methodologies ENBIS
Distinctions

Award

2014 Winner of the 2014 ENBIS challenge by JMP
2013 Award obtained in 2012/2013 given to the 3% of the best students of the University of Coimbra
2011 Award obtained in 2010/2011 given to the 3% of the best students of the University of Coimbra
2010 Award obtained in 2009/2010 given to the 3% of the best students of the University of Coimbra