| Human-machine Collaboration in Virtual Reality for Adaptive Production Engineering A de Giorgio, M Romero, M Onori, L Wang Procedia Manufacturing 11, 1279-1287, 2017 | 82 | 2017 |
| Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines ML Ruiz Rodríguez, S Kubler, A de Giorgio, M Cordy, J Robert, ... Robotics and Computer-Integrated Manufacturing 78, 102406, 2022 | 37 | 2022 |
| Towards online reinforced learning of assembly sequence planning with interactive guidance systems for industry 4.0 adaptive manufacturing A de Giorgio, A Maffei, M Onori, L Wang Journal of Manufacturing Systems 60, 22-34, 2021 | 31 | 2021 |
| Extended Reality in Neurosurgical Education: A Systematic Review A Iop, VG El-Hajj, M Gharios, A de Giorgio, FM Monetti, E Edström, ... Sensors 22 (16), 6067, 2022 | 24 | 2022 |
| Learning programs is better than learning dynamics: A programmable neural network hierarchical architecture in a multi-task scenario F Donnarumma, R Prevete, A de Giorgio, G Montone, G Pezzulo Adaptive Behavior 24 (1), 27-51, 2016 | 18 | 2016 |
| An experimental study of the impact of virtual reality training on manufacturing operators on industrial robotic tasks FM Monetti, A de Giorgio, H Yu, A Maffei, M Romero 9th CIRP Conference on Assembly Technology and Systems in Procedia CIRP 106 …, 2022 | 14 | 2022 |
| Procedural knowledge and function blocks for smart process planning A de Giorgio, M Lundgren, L Wang Procedia Manufacturing 48, 1079-1087, 2020 | 10 | 2020 |
| Artificial Intelligence Control in 4D Cylindrical Space for Industrial Robotic Applications A de Giorgio, L Wang IEEE Access 8, 174833 - 174844, 2020 | 9 | 2020 |
| Measuring the effect of automatically authored video aid on assembly time for procedural knowledge transfer among operators in adaptive assembly stations A de Giorgio, M Roci, A Maffei, M Jocevski, M Onori, L Wang International Journal of Production Research 61 (12), 3910-3925, 2021 | 8 | 2021 |
| A study on the similarities of Deep Belief Networks and Stacked Autoencoders A de Giorgio KTH, Royal Institute of Technology, 2015 | 7* | 2015 |
| Assessing the influence of expert video aid on assembly learning curves A de Giorgio, S Cacace, A Maffei, FM Monetti, M Roci, M Onori, L Wang Journal of Manufacturing Systems 62, 263-269, 2022 | 4 | 2022 |
| Adopting extended reality? A systematic review of manufacturing training and teaching applications A de Giorgio, FM Monetti, A Maffei, M Romero, L Wang Journal of Manufacturing Systems 71, 645-663, 2023 | 2 | 2023 |
| Systematic review of class imbalance problems in manufacturing A de Giorgio, G Cola, L Wang Journal of Manufacturing Systems 71, 620-644, 2023 | 2 | 2023 |
| The Impact of Learning Factories on Teaching Lean Principles in an Assembly Environment FM Monetti, E Boffa, A de Giorgio, A Maffei FAIM 2022: Flexible Automation and Intelligent Manufacturing: The Human-Data …, 2023 | 2 | 2023 |
| Limitations in Evaluating Machine Learning Models for Imbalanced Binary Outcome Classification in Spine Surgery: A Systematic Review M Ghanem, AK Ghaith, VG El-Hajj, A Bhandarkar, A de Giorgio, ... Brain Sciences 13 (12), 1723, 2023 | 1 | 2023 |
| Industrial transformation and assembly technology: context and research trends FM Monetti, A de Giorgio, A Maffei Procedia CIRP 107, 1427-1432, 2022 | 1 | 2022 |
| Introducing a procedural knowledge model for enhancing industrial process adaptiveness A de Giorgio KTH Royal Institute of Technology, 2021 | 1 | 2021 |
| Casi d'uso di intelligenza artificiale nell'industria alimentare A de Giorgio http://dx.doi.org/10.13140/RG.2.2.18073.19043, 2024 | | 2024 |
| Citation review of a hybridization of genetic algorithms and fuzzy logic for the single-machine scheduling with flexible maintenance problem under human resource constraints by … A de Giorgio Preprint, 2021 | | 2021 |
| Procedural knowledge blocks for locomotive assembly video dataset A de Giorgio https://doi.org/10.5281/zenodo.4573323, 2021 | | 2021 |
Lihui WangChair Professor of Sustainable Manufacturing, KTHVerified email at kth.se
