Giovanni Acampora
Giovanni Acampora
Professor of Computer Science, University of Naples Federico II
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A survey on ambient intelligence in healthcare
G Acampora, DJ Cook, P Rashidi, AV Vasilakos
Proceedings of the IEEE 101 (12), 2470-2494, 2013
Fuzzy control interoperability and scalability for adaptive domotic framework
G Acampora, V Loia
IEEE Transactions on Industrial Informatics 1 (2), 97-111, 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
Enhancing ontology alignment through a memetic aggregation of similarity measures
G Acampora, V Loia, A Vitiello
Information Sciences 250, 1-20, 2013
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
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
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
A proposal of ubiquitous fuzzy computing for ambient intelligence
G Acampora, V Loia
Information Sciences 178 (3), 631-646, 2008
On the temporal granularity in fuzzy cognitive maps
G Acampora, V Loia
IEEE Transactions on Fuzzy Systems 19 (6), 1040-1057, 2011
IEEE 1849™: The XES Standard
G Acampora, A Vitiello, B Di Stefano, W van der Aalst, C GŘnther, ...
IEEE Computational Intelligence Magazine, 4-8, 2017
Hierarchical optimization of personalized experiences for e-Learning systems through evolutionary models
G Acampora, M Gaeta, V Loia
Neural Computing and Applications 20, 641-657, 2011
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
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, 111-131, 2010
Exploring e-Learning Knowledge Through Ontological Memetic Agents
G Acampora, M Gaeta, V Loia
IEEE Computational Intelligence Magazine 5 (2), 66-77, 2010
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
JFML: a java library to design fuzzy logic systems according to the IEEE std 1855-2016
JM Soto-Hidalgo, JM Alonso, G Acampora, J Alcalß-Fdez
IEEE Access 6, 54952-54964, 2018
A fuzzy-based approach to programming language independent source-code plagiarism detection
G Acampora, G Cosma
2015 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2015
Distributing emotional services in ambient intelligence through cognitive agents
G Acampora, V Loia, A Vitiello
Service Oriented Computing and Applications 5, 17-35, 2011
An interval type-2 fuzzy logic based framework for reputation management in Peer-to-Peer e-commerce
G Acampora, D Alghazzawi, H Hagras, A Vitiello
Information Sciences 333, 88-107, 2016
A competent memetic algorithm for learning fuzzy cognitive maps
G Acampora, W Pedrycz, A Vitiello
IEEE Transactions on Fuzzy Systems 23 (6), 2397-2411, 2015
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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