Impact of refactoring on quality code evaluation. - Francesca Arcelli Fontana; Stefano Spinelli (WRT@ICSE, 2011)

Investigating the impact of code smells debt on quality code evaluation. - Francesca Arcelli Fontana; Vincenzo Ferme; Stefano Spinelli (MTD@ICSE, 2012)

System-level performance of an automation solution based on industry standards. - Andrea Ballarino; Alessandro Brusaferri; Marco Cereia; Ivan Cibrario Bertolotti; Luca Durante; Tingting Hu; Egidio Leo; Leonardo Nicolosi; Lucia Seno; Stefano Spinelli; Federico Tramarin; Adriano Valenzano; et al. (ETFA, 2014)

A hierarchical optimization-based scheme for combined Fire-tube Boiler/CHP generation units. - Stefano Spinelli; Marcello Farina; Andrea Ballarino (ECC, 2018)

A distributed control architecture for a reconfigurable manufacturing plant. - Stefano Spinelli; Andrea Cataldo; Giacomo Pallucca; Alessandro Brusaferri (ICPS, 2018)

An optimal control of start-up for nonlinear fire-tube boilers with thermal stress constraints. - Stefano Spinelli; Marcello Farina; Andrea Ballarino (ECC, 2019)

Fostering the creation of a Digital Ecosystem by a distributed IEC-61499 based automation platform. - Andrea Barni; Alessandro Brusaferri; Franco Antonio Cavadini; Giuseppe Landolfi; Sandeep Patil; Dario Piga; Stefano Spinelli; Valeriy Vyatkin (INDIN, 2019)

Integrated automation system with PSO based scheduling for PCB remanufacturing plants. - Alessandro Brusaferri; Egidio Leo; Leonardo Nicolosi; Danial Ramin; Stefano Spinelli (INDIN, 2019)

Nonlinear system identification using a recurrent network in a Bayesian framework. - Alessandro Brusaferri; Matteo Matteucci; Pietro Portolani; Stefano Spinelli (INDIN, 2019)

Hybrid system identification using a mixture of NARX experts with LASSO-based feature selection. - Alessandro Brusaferri; Matteo Matteucci; Pietro Portolani; Stefano Spinelli; Andrea Vitali (CoDIT, 2020)

Probabilistic day-ahead energy price forecast by a Mixture Density Recurrent Neural Network. - Alessandro Brusaferri; Matteo Matteucci; Danial Ramin; Stefano Spinelli; Andrea Vitali (CoDIT, 2020)

Extracting finite state representations from recurrent models of Industrial Cyber Physical Systems. - Alessandro Brusaferri; Matteo Matteucci; Stefano Spinelli; Andrea Vitali (CoDIT, 2020)

A Unified PSO-based method for multi-hoist scheduling in advanced Galvanic plants. - Danial Ramin; Egidio Leo; Leonardo Nicolosi; Stefano Spinelli; Alessandro Brusaferri (CoDIT, 2020)

Learning behavioral models by recurrent neural networks with discrete latent representations with application to a flexible industrial conveyor. - Alessandro Brusaferri; Matteo Matteucci; Stefano Spinelli; Andrea Vitali (Comput. Ind., 2020)

A Hierarchical Architecture for the Coordination of an Ensemble of Steam Generators. - Stefano Spinelli; Elia Longoni; Marcello Farina; Felix Petzke; Stefan Streif; Andrea Ballarino (CoRR, 2020)

Identification of Probability weighted ARX models with arbitrary domains. - Alessandro Brusaferri; Matteo Matteucci; Stefano Spinelli (CoRR, 2020)

Estimation of Switched Markov Polynomial NARX models. - Alessandro Brusaferri; Matteo Matteucci; Stefano Spinelli (CoRR, 2020)

Probabilistic electric load forecasting through Bayesian Mixture Density Networks. - Alessandro Brusaferri; Matteo Matteucci; Stefano Spinelli; Andrea Vitali (CoRR, 2020)

Optimization and control of smart thermal-energy grids. - Stefano Spinelli (2021)

A Hierarchical Architecture for Optimal Unit Commitment and Control of an Ensemble of Steam Generators. - Stefano Spinelli; Marcello Farina; Andrea Ballarino (IEEE Trans. Control. Syst. Technol., 2022)

A Compressed Air Network Energy-Efficient Hierarchical Unit Commitment and Control. - Daniele Ravasio; Lorenzo Tuissi; Stefano Spinelli; Andrea Ballarino (ICCAE, 2023)

Neural Network Modeling of the Refining Motor Load for Medium-Density Fibreboard Production. - Lorenzo Tuissi; Daniele Ravasio; Stefano Spinelli; Andrea Ballarino (ICCAE, 2023)

Demand-side management via optimal production scheduling in power-intensive industries: The case of metal casting process. - Danial Ramin; Stefano Spinelli; Alessandro Brusaferri (CoRR, 2023)

An optimal hierarchical control scheme for smart generation units: an application to combined steam and electricity generation. - Stefano Spinelli; Marcello Farina; Andrea Ballarino (CoRR, 2023)