A Comparison Study of Single-Scale and Multiscale Approaches for Data-Driven and Model-Based Online Denoising. - Ricardo R. Rendall; Marco S. Reis (Qual. Reliab. Eng. Int., 2014)

A comparison of advanced regression techniques for predicting ship CO2 emissions. - Antonio Lepore; Marco Seabra dos Reis; Biagio Palumbo; Ricardo R. Rendall; Christian Capezza (Qual. Reliab. Eng. Int., 2017)

Data-driven methods for batch data analysis - A critical overview and mapping on the complexity scale. - Ricardo R. Rendall; Leo H. Chiang; Marco S. Reis (Comput. Chem. Eng., 2019)

Wide spectrum feature selection (WiSe) for regression model building. - Ricardo R. Rendall; Ivan Castillo; Alix Schmidt; Swee-Teng Chin; Leo H. Chiang; Marco S. Reis (Comput. Chem. Eng., 2019)

Reinforcement Learning-Based Fed-Batch Optimization with Reaction Surrogate Model. - Yan Ma; Zhenyu Wang; Ivan Castillo; Ricardo R. Rendall; Rahul Bindlish; Brian Ashcraft; David Bentley; Michael G. Benton; José A. Romagnoli; Leo H. Chiang (ACC, 2021)

Recent trends on hybrid modeling for Industry 4.0. - Joel Sansana; Mark N. Joswiak; Ivan Castillo; Zhenyu Wang; Ricardo R. Rendall; Leo H. Chiang; Marco S. Reis (Comput. Chem. Eng., 2021)

Continuous assessment of data sources quality for improving the resilience of multisource fusion platforms. - Eugeniu Strelet; Zhenyu Wang; You Peng; Ivan Castillo; Ricardo R. Rendall; Birgit Braun; Leo H. Chiang; Marco S. Reis (ACC, 2022)

From Open Loop to Real-time Recipe Optimization for Complex Industrial Batch Processes*. - Lingxun Kong; Ivan Castillo; You Peng; Ricardo R. Rendall; Zhenyu Wang; Daniel Trahan; David Bentley (ACC, 2023)

Accelerated controller tuning using human feedback and Multi-Task Preferential Bayesian Optimization. - João P. L. Coutinho; You Peng; Ricardo R. Rendall; Caterina Rizzo; Kaiwen Ma; Swee-Teng Chin; Ivan Castillo; Marco S. Reis (ACC, 2025)