Francesco Pistolesi

Orcid: 0000-0002-1078-5599

According to our database1, Francesco Pistolesi authored at least 23 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

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.
Comput. Ind., February, 2024

Elicitation of Anxiety Without Time Pressure and Its Detection Using Physiological Signals and Artificial Intelligence: A Proof of Concept.
IEEE Access, 2024

2023
Are You Sitting With Good Posture? Tracking the Position of the Legs via 2-D LiDAR.
IEEE Embed. Syst. Lett., September, 2023

Guest Editorial: AI for Efficiency and Sustainability in Assembly/Disassembly Industrial Processes.
IEEE Trans. Ind. Informatics, May, 2023

Speech-Based Detection of In-Car Escalating Arguments to Prevent Distracted Driving.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
A smartphone app to collect emotion-labeled signals in the wild using a body sensor network.
Proceedings of the IEEE International Symposium on Multimedia, 2022

Detecting happiness from 14-channel binary-valued EEG charts via deep learning.
Proceedings of the IEEE International Symposium on Multimedia, 2022

2021
End-of-life product disassembly with priority-based extraction of dangerous parts.
J. Intell. Manuf., 2021

2020
Assessing the Risk of Low Back Pain and Injury via Inertial and Barometric Sensors.
IEEE Trans. Ind. Informatics, 2020

A neural classifier to evaluate the role of image resolution in the perception of color differences.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
TeMA: A Tensorial Memetic Algorithm for Many-Objective Parallel Disassembly Sequence Planning in Product Refurbishment.
IEEE Trans. Ind. Informatics, 2019

2018
Multiobjective Personnel Assignment Exploiting Workers' Sensitivity to Risk.
IEEE Trans. Syst. Man Cybern. Syst., 2018

EMOGA: A Hybrid Genetic Algorithm With Extremal Optimization Core for Multiobjective Disassembly Line Balancing.
IEEE Trans. Ind. Informatics, 2018

An Integrated Optimization System for Safe Job Assignment Based on Human Factors and Behavior.
IEEE Syst. J., 2018

A Neural System for Faithful Color Reproduction in Industrial Printing Processes.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017

2016
Solving the environmental economic dispatch problem with prohibited operating zones in microgrids using NSGA-II and TOPSIS.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Human factors-based many-objective personnel recruitment for safety-critical work environments.
Proceedings of the IECON 2016, 2016

A semi-supervised learning-aided evolutionary approach to occupational safety improvement.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Innovative models and methodologies for multi-objective optimization, decision making and knowledge discovery, with applications.
PhD thesis, 2015

2014
Classifying Workers into Risk Sensibility Profiles: A Neural Network Approach.
Proceedings of the 2014 European Modelling Symposium, Pisa, Italy, October 21-23, 2014, 2014

2013
Profiling risk sensibility through association rules.
Expert Syst. Appl., 2013

Efficient energy dispatching in smart microgrids using an integration of fuzzy AHP and TOPSIS assisted by linear programming.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013


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