Efficient energy dispatching in smart microgrids using an integration of fuzzy AHP and TOPSIS assisted by linear programming. - Beatrice Lazzerini; Francesco Pistolesi (EUSFLAT Conf., 2013)

Profiling risk sensibility through association rules. - Beatrice Lazzerini; Francesco Pistolesi (Expert Syst. Appl., 2013)

Classifying Workers into Risk Sensibility Profiles: A Neural Network Approach. - Beatrice Lazzerini; Francesco Pistolesi (EMS, 2014)

Innovative models and methodologies for multi-objective optimization, decision making and knowledge discovery, with applications. - Francesco Pistolesi (2015)

A semi-supervised learning-aided evolutionary approach to occupational safety improvement. - Marco Cococcioni; Beatrice Lazzerini; Francesco Pistolesi (CEC, 2016)

Human factors-based many-objective personnel recruitment for safety-critical work environments. - Beatrice Lazzerini; Francesco Pistolesi (IECON, 2016)

Solving the environmental economic dispatch problem with prohibited operating zones in microgrids using NSGA-II and TOPSIS. - Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni; Francesco Pistolesi (SAC, 2016)

Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety. - Beatrice Lazzerini; Francesco Pistolesi (MOD, 2017)

A Neural System for Faithful Color Reproduction in Industrial Printing Processes. - Beatrice Lazzerini; Francesco Pistolesi (IJCNN, 2018)

An Integrated Optimization System for Safe Job Assignment Based on Human Factors and Behavior. - Beatrice Lazzerini; Francesco Pistolesi (IEEE Syst. J., 2018)

EMOGA: A Hybrid Genetic Algorithm With Extremal Optimization Core for Multiobjective Disassembly Line Balancing. - Francesco Pistolesi; Beatrice Lazzerini; Michela Dalle Mura; Gino Dini (IEEE Trans. Ind. Informatics, 2018)

Multiobjective Personnel Assignment Exploiting Workers' Sensitivity to Risk. - Beatrice Lazzerini; Francesco Pistolesi (IEEE Trans. Syst. Man Cybern. Syst., 2018)

TeMA: A Tensorial Memetic Algorithm for Many-Objective Parallel Disassembly Sequence Planning in Product Refurbishment. - Francesco Pistolesi; Beatrice Lazzerini (IEEE Trans. Ind. Informatics, 2019)

A neural classifier to evaluate the role of image resolution in the perception of color differences. - Beatrice Lazzerini; Francesco Pistolesi (IJCNN, 2020)

Assessing the Risk of Low Back Pain and Injury via Inertial and Barometric Sensors. - Francesco Pistolesi; Beatrice Lazzerini (IEEE Trans. Ind. Informatics, 2020)

End-of-life product disassembly with priority-based extraction of dangerous parts. - Michela Dalle Mura; Francesco Pistolesi; Gino Dini; Beatrice Lazzerini (J. Intell. Manuf., 2021)

Detecting happiness from 14-channel binary-valued EEG charts via deep learning. - Michele Baldassini; Francesco Pistolesi; Beatrice Lazzerini (ISM, 2022)

A smartphone app to collect emotion-labeled signals in the wild using a body sensor network. - Francesco Pistolesi; Michele Baldassini; Beatrice Lazzerini (ISM, 2022)

Speech-Based Detection of In-Car Escalating Arguments to Prevent Distracted Driving. - Francesco Pistolesi; Michele Baldassini; Beatrice Lazzerini (IEEE Big Data, 2023)

Guest Editorial: AI for Efficiency and Sustainability in Assembly/Disassembly Industrial Processes. - Francesco Pistolesi; Beatrice Lazzerini (IEEE Trans. Ind. Informatics, 2023)

Are You Sitting With Good Posture? Tracking the Position of the Legs via 2-D LiDAR. - Francesco Pistolesi; Michele Baldassini; Beatrice Lazzerini (IEEE Embed. Syst. Lett., 2023)

Elicitation of Anxiety Without Time Pressure and Its Detection Using Physiological Signals and Artificial Intelligence: A Proof of Concept. - Antonio Di Tecco; Francesco Pistolesi; Beatrice Lazzerini (IEEE Access, 2024)

A human-centric system combining smartwatch and LiDAR data to assess the risk of musculoskeletal disorders and improve ergonomics of Industry 5.0 manufacturing workers. - Francesco Pistolesi; Michele Baldassini; Beatrice Lazzerini (Comput. Ind., 2024)

A LiDAR-Based Recommendation System to Improve Sitting Posture Respecting Privacy. - Francesco Pistolesi; Michele Baldassini; Beatrice Lazzerini (IEEE J. Biomed. Health Informatics, 2024)