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Francesco Pistolesi
Francesco Pistolesi
Department of Information Engineering - University of Pisa
Verified email at unipi.it - Homepage
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Cited by
Cited by
Year
EMOGA: A hybrid genetic algorithm with extremal optimization core for multiobjective disassembly line balancing
F Pistolesi, B Lazzerini, M Dalle Mura, G Dini
IEEE Transactions on Industrial Informatics 14 (3), 1089-1098, 2018
1202018
TeMA: a tensorial memetic algorithm for many-objective parallel disassembly sequence planning in product refurbishment
F Pistolesi, B Lazzerini
IEEE Transactions on Industrial Informatics 15 (6), 3743-3753, 2019
432019
Assessing the risk of low back pain and injury via inertial and barometric sensors
F Pistolesi, B Lazzerini
IEEE Transactions on Industrial Informatics 16 (11), 7199-7208, 2020
382020
Multiobjective personnel assignment exploiting workers’ sensitivity to risk
B Lazzerini, F Pistolesi
IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (8), 1267-1282, 2018
222018
Profiling risk sensibility through association rules
B Lazzerini, F Pistolesi
Expert systems with applications 40 (5), 1484-1490, 2013
202013
An integrated optimization system for safe job assignment based on human factors and behavior
B Lazzerini, F Pistolesi
IEEE Systems Journal 12 (2), 1158-1169, 2017
162017
A linear programming-driven MCDM approach for multi-objective economic dispatch in smart grids
B Lazzerini, F Pistolesi
2015 SAI Intelligent Systems Conference (IntelliSys), 475-484, 2015
152015
Efficient energy dispatching in smart microgrids using an integration of fuzzy AHP and TOPSIS assisted by linear programming
B Lazzerini, F Pistolesi
8th conference of the European Society for Fuzzy Logic and Technology …, 2013
132013
End-of-life product disassembly with priority-based extraction of dangerous parts
M Dalle Mura, F Pistolesi, G Dini, B Lazzerini
Journal of Intelligent Manufacturing 32, 837-854, 2021
122021
A semi-supervised learning-aided evolutionary approach to occupational safety improvement
M Cococcioni, B Lazzerini, F Pistolesi
2016 IEEE Congress on Evolutionary Computation (CEC), 3695-3701, 2016
122016
Classifying workers into risk sensibility profiles: a neural network approach
B Lazzerini, F Pistolesi
2014 European Modelling Symposium on Computer Modelling and Simulation, 33-38, 2014
102014
Neural network-based objectives prioritization for multi-objective economic dispatch in microgrids
B Lazzerini, F Pistolesi
Proceedings of the 7th IEEE/SICE International Symposium on System …, 2014
62014
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
F Pistolesi, M Baldassini, B Lazzerini
Computers in Industry 155, 104042, 2023
52023
Are You Sitting With Good Posture? Tracking the Position of the Legs via 2-D LiDAR
F Pistolesi, M Baldassini, B Lazzerini
IEEE Embedded Systems Letters 15 (3), 137-140, 2022
52022
Artificial bee colony optimization to reallocate personnel to tasks improving workplace safety
B Lazzerini, F Pistolesi
International Conference on Machine Learning, Optimization, and Big Data …, 2017
42017
Solving the environmental economic dispatch problem with prohibited operating zones in microgrids using NSGA-II and TOPSIS
M Cococcioni, B Lazzerini, F Marcelloni, F Pistolesi
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2154-2157, 2016
32016
Elicitation of Anxiety without Time Pressure and its Detection using Physiological Signals and Artificial Intelligence: a Proof of Concept
A Di Tecco, F Pistolesi, B Lazzerini
IEEE Access 12, 22376-22393, 2024
22024
Detecting happiness from 14-channel binary-valued EEG charts via deep learning
M Baldassini, F Pistolesi, B Lazzerini
24th IEEE International Symposium on Multimedia, 2022
22022
Evaluation of the role of image resolution in the perception of color differences
B Lazzerini, F Pistolesi
22020
A smartphone app to collect emotion-labeled signals in the wild using a body sensor network
F Pistolesi, M Baldassini, B Lazzerini
24th IEEE International Symposium on Multimedia, 2022
12022
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