Entropy analysis of muscular near-infrared spectroscopy (NIRS) signals during exercise programme of type 2 diabetic patients: Quantitative assessment of muscle metabolic pattern. - Filippo Molinari; U. Rajendra Acharya; Roshan Joy Martis; Riccardo De Luca; Giuliana Petraroli; William Liboni (Comput. Methods Programs Biomed., 2013)

Empirical mode decomposition analysis of near-infrared spectroscopy muscular signals to assess the effect of physical activity in type 2 diabetic patients. - Filippo Molinari; Roshan Joy Martis; U. Rajendra Acharya; Kristen M. Meiburger; Riccardo De Luca; Giuliana Petraroli; William Liboni (Comput. Biol. Medicine, 2015)

A methodology for direct exploitation of available information in the online model-based redesign of experiments. - Riccardo De Luca; Federico Galvanin; Fabrizio Bezzo (Comput. Chem. Eng., 2016)

Microalgae growth optimization in open ponds with uncertain weather data. - Riccardo De Luca; Martino Trabuio; Massimiliano Barolo; Fabrizio Bezzo (Comput. Chem. Eng., 2018)

Meteorological Data-Based Optimal Control Strategy for Microalgae Cultivation in Open Pond Systems. - Riccardo De Luca; Fabrizio Bezzo; Quentin Béchet; Olivier Bernard 003 (Complex., 2019)

PROCONSUL: PRObabilistic exploration of CONnectivity Significance patterns for disease modULe discovery. - Riccardo De Luca; Marco Carfora; Gonzalo Blanco; Andrea Mastropietro; Manuela Petti; Paolo Tieri (BIBM, 2022)

SHELLEY: Exploring Learning-Based Network Alignment on Biological Data. - Riccardo De Luca; Manuela Petti; Pietro H. Guzzi; Paolo Tieri (BIBM, 2024)