Applying the IEC-61499 Model to the Shoe Manufacturing Sector. - Marco Colla; Alessandro Brusaferri; Emanuele Carpanzano (ETFA, 2006)

RTAI-based execution environments for function block based control applications. - George S. Doukas; Alessandro Brusaferri; Marco Colla; Kleanthis Thramboulidis (ETFA, 2007)

Enabling Agile Manufacturing through Reconfigurable Control Solutions. - Alessandro Brusaferri; Andrea Ballarino; Emanuele Carpanzano (ETFA, 2009)

Model-Checking based Verification approach for advanced Industrial Automation solutions. - Mauro Mazzolini; Alessandro Brusaferri; Emanuele Carpanzano (ETFA, 2010)

Distributed Intelligent Automation Solutions for Self-adaptive Manufacturing Plants. - Alessandro Brusaferri; Andrea Ballarino; Emanuele Carpanzano (BASYS, 2010)

Integrated software platform for advanced design and optimization of industrial manufacturing control system. - Franco Antonio Cavadini; Diego Manzocchi; Mauro Mazzolini; Alessandro Brusaferri (ETFA, 2013)

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)

CPS-based hierarchical and self-similar automation architecture for the control and verification of reconfigurable manufacturing systems. - Alessandro Brusaferri; Andrea Ballarino; Franco Antonio Cavadini; Diego Manzocchi; Mauro Mazzolini (ETFA, 2014)

A novel toolbox for advanced particle swarm optimization based industrial applications. - Leonardo Nicolosi; Alessandro Brusaferri; Andrea Ballarino (ETFA, 2014)

The CPS and LCA Modelling: An Integrated Approach in the Environmental Sustainability Perspective. - Andrea Ballarino; Carlo Brondi; Alessandro Brusaferri; Guido Chizzoli (PRO-VE, 2017)

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

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)

Day ahead electricity price forecast by NARX model with LASSO based features selection. - Alessandro Brusaferri; Lorenzo Fagiano; Matteo Matteucci; Andrea Vitali (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 new modeling approach to include EAF flexibility in the energy-aware scheduling of steelmaking process. - Damiano Fraizzoli; Danial Ramin; Alessandro Brusaferri (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)

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)

Uncertainty in Predictive Process Monitoring. - Pietro Portolani; Alessandro Brusaferri; Andrea Ballarino; Matteo Matteucci (IPMU (2), 2022)

Machine learning for optimization of energy intensive industrial processes. - Alessandro Brusaferri (2022)

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)

Dynamic hoist scheduling for multi-recipe and multi-stage production lines: A logical framework. - Danial Ramin; Damiano Fraizzoli; Andrea Ballarino; Alessandro Brusaferri (Comput. Ind. Eng., 2023)

On-line conformalized neural networks ensembles for probabilistic forecasting of day-ahead electricity prices. - Alessandro Brusaferri; Andrea Ballarino; Luigi Grossi; Fabrizio Laurini (CoRR, 2024)

NBMLSS: probabilistic forecasting of electricity prices via Neural Basis Models for Location Scale and Shape. - Alessandro Brusaferri; Danial Ramin; Andrea Ballarino (CoRR, 2024)

Physics-Informed CNN Ensemble for Improved Tissue Perfusion and Diffusion Estimation with Uncertainty Quantification in IVIM MRI. - Nicola Casali; Alessandro Brusaferri; Giuseppe Baselli; Stefano Fumagalli; Edoardo Micotti; Gianluigi Forloni; Riaz Hussein; Giovanna Rizzo; Alfonso Mastropietro (AIME (2), 2025)

On autoencoders for extracting muscle synergies: A study in highly variable upper limb movements. - Manuela Giraud; Cristina Brambilla; Eleonora Guanziroli; Salvatore Facciorusso; Lorenzo Molinari Tosatti; Franco Molteni; Alessandro Brusaferri; Alessandro Scano (Biomed. Signal Process. Control., 2025)