| A survey on ambient intelligence in healthcare G Acampora, DJ Cook, P Rashidi, AV Vasilakos Proceedings of the IEEE 101 (12), 2470-2494, 2013 | 920 | 2013 |
| Fuzzy control interoperability and scalability for adaptive domotic framework G Acampora, V Loia IEEE Transactions on Industrial Informatics 1 (2), 97-111, 2005 | 205 | 2005 |
| Interoperable and adaptive fuzzy services for ambient intelligence applications G Acampora, M Gaeta, V Loia, AV Vasilakos ACM Transactions on Autonomous and Adaptive Systems (TAAS) 5 (2), 1-26, 2010 | 121 | 2010 |
| Enhancing ontology alignment through a memetic aggregation of similarity measures G Acampora, V Loia, A Vitiello Information Sciences 250, 1-20, 2013 | 118 | 2013 |
| SND@ LHC: the scattering and neutrino detector at the LHC G Acampora, C Ahdida, R Albanese, C Albrecht, A Alexandrov, ... Journal of Instrumentation 19 (05), P05067, 2024 | 117 | 2024 |
| Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion F Piccialli, F Giampaolo, E Prezioso, D Camacho, G Acampora Information Fusion 74, 1-16, 2021 | 114 | 2021 |
| IEEE 1849™: The XES Standard G Acampora, A Vitiello, B Di Stefano, W van der Aalst, C Günther, ... IEEE Computational Intelligence Magazine, 4-8, 2017 | 105 | 2017 |
| A hybrid evolutionary approach for solving the ontology alignment problem G Acampora, V Loia, S Salerno, A Vitiello International Journal of Intelligent Systems 27 (3), 189-216, 2012 | 102 | 2012 |
| Genetic algorithms as classical optimizer for the quantum approximate optimization algorithm G Acampora, A Chiatto, A Vitiello Applied Soft Computing 142, 110296, 2023 | 98 | 2023 |
| Using FML and fuzzy technology in adaptive ambient intelligence environments G Acampora, V Loia International Journal of Computational Intelligence Research 1 (1), 171-182, 2005 | 97 | 2005 |
| Diet assessment based on type‐2 fuzzy ontology and fuzzy markup language CS Lee, MH Wang, G Acampora, CY Hsu, H Hagras International Journal of Intelligent Systems 25 (12), 1187-1216, 2010 | 89 | 2010 |
| Prediction of pathological stage in patients with prostate cancer: a neuro-fuzzy model G Cosma, G Acampora, D Brown, RC Rees, M Khan, AG Pockley PloS one 11 (6), e0155856, 2016 | 88 | 2016 |
| A proposal of ubiquitous fuzzy computing for ambient intelligence G Acampora, V Loia Information Sciences 178 (3), 631-646, 2008 | 83 | 2008 |
| Hierarchical optimization of personalized experiences for e-Learning systems through evolutionary models G Acampora, M Gaeta, V Loia Neural Computing and Applications 20 (5), 641-657, 2011 | 82 | 2011 |
| On the temporal granularity in fuzzy cognitive maps G Acampora, V Loia IEEE Transactions on Fuzzy Systems 19 (6), 1040-1057, 2011 | 79 | 2011 |
| Deep neural networks for quantum circuit mapping G Acampora, R Schiattarella Neural Computing and Applications 33 (20), 13723-13743, 2021 | 70 | 2021 |
| Ontology-based multi-agents for intelligent healthcare applications MH Wang, CS Lee, KL Hsieh, CY Hsu, G Acampora, CC Chang Journal of Ambient Intelligence and Humanized Computing 1 (2), 111-131, 2010 | 65 | 2010 |
| Exploring e-Learning Knowledge Through Ontological Memetic Agents G Acampora, M Gaeta, V Loia IEEE Computational Intelligence Magazine 5 (2), 66-77, 2010 | 64 | 2010 |
| JFML: a java library to design fuzzy logic systems according to the IEEE std 1855-2016 JM Soto-Hidalgo, JM Alonso, G Acampora, J Alcalá-Fdez IEEE Access 6, 54952-54964, 2018 | 62 | 2018 |
| Implementing evolutionary optimization on actual quantum processors G Acampora, A Vitiello Information Sciences 575, 542-562, 2021 | 56 | 2021 |
Autilia VitielloAssociate Professor, University of Naples Federico II, ItalyVerified email at unina.it
