| 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 | 120 | 2018 |
| 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 | 43 | 2019 |
| 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 | 38 | 2020 |
| 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 | 22 | 2018 |
| Profiling risk sensibility through association rules B Lazzerini, F Pistolesi Expert systems with applications 40 (5), 1484-1490, 2013 | 20 | 2013 |
| 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 | 16 | 2017 |
| 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 | 15 | 2015 |
| 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 | 13 | 2013 |
| 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 | 12 | 2021 |
| 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 | 12 | 2016 |
| Classifying workers into risk sensibility profiles: a neural network approach B Lazzerini, F Pistolesi 2014 European modelling symposium, 33-38, 2014 | 10 | 2014 |
| 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 | 6 | 2014 |
| 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 | 5 | 2022 |
| 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 | 4 | 2017 |
| 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 | 3 | 2023 |
| 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 | 3 | 2016 |
| 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, 2024 | 2 | 2024 |
| 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 | 2 | 2022 |
| 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 | 1 | 2022 |
| A neural system for faithful color reproduction in industrial printing processes B Lazzerini, F Pistolesi 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 1 | 2018 |
Beatrice LazzeriniProfessor of Computer Engineering, University of Pisa在 iet.unipi.it 的电子邮件经过验证
