Antonello Rizzi
Antonello Rizzi
University of Rome "La Sapienza", Information Engineering, Electronics and Telecommunications Dpt.
Verifisert e-postadresse på
TittelSitert avÅr
The graph matching problem
L Livi, A Rizzi
Pattern Analysis and Applications 16 (3), 253-283, 2013
Adaptive resolution min-max classifiers
A Rizzi, M Panella, FMF Mascioli
IEEE Transactions on Neural Networks 13 (2), 402-414, 2002
Short-term electric load forecasting using echo state networks and PCA decomposition
FM Bianchi, E De Santis, A Rizzi, A Sadeghian
IEEE Access 3, 1931-1943, 2015
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
FM Bianchi, E Maiorino, MC Kampffmeyer, A Rizzi, R Jenssen
arXiv preprint arXiv:1705.04378, 2017
Prediction of telephone calls load using Echo State Network with exogenous variables
FM Bianchi, S Scardapane, A Uncini, A Rizzi, A Sadeghian
Neural Networks 71, 204-213, 2015
A Novel Mechanical Analogy-Based Battery Model for SoC Estimation Using a Multicell EKF
M Paschero, GL Storti, A Rizzi, FMF Mascioli, G Rizzoni
IEEE Transactions on Sustainable Energy 7 (4), 1695-1702, 2016
Genetic optimization of a fuzzy control system for energy flow management in micro-grids
E De Santis, A Rizzi, A Sadeghiany, FMF Mascioli
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 418-423, 2013
Optimized dissimilarity space embedding for labeled graphs
L Livi, A Rizzi, A Sadeghian
Information Sciences 266, 47-64, 2014
ANFIS synthesis by hyperplane clustering
M Panella, A Rizzi, FMF Mascioli, G Martinelli
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International …, 2001
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Learning and One-Class Classification
E De Santis, L Livi, A Sadeghian, A Rizzi
Neurocomputing, 2015
Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis
FM Bianchi, E Maiorino, MC Kampffmeyer, A Rizzi, R Jenssen
Springer, 2017
A Granular Computing approach to the design of optimized graph classification systems
FM Bianchi, L Livi, A Rizzi, A Sadeghian
Soft Computing 18 (2), 393-412, 2014
Refining accuracy of environmental data prediction by MoG neural networks
M Panella, A Rizzi, G Martinelli
Neurocomputing 55 (3-4), 521-549, 2003
Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction
M Moharrer, H Tahayori, L Livi, A Sadeghian, A Rizzi
Soft Computing 19 (1), 237-250, 2015
Automatic training of ANFIS networks
A Rizzi, FMF Mascioli, G Martinelli
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings …, 1999
On the Problem of Modeling Structured Data with the MinSOD Representative.
G Del Vescovo, L Livi, FM Frattale Mascioli, A Rizzi
International Journal of Computer Theory & Engineering 6 (1), 2014
Genetic optimization of a PD diagnostic system for cable accessories
A Rizzi, FMF Mascioli, F Baldini, C Mazzetti, R Bartnikas
IEEE Transactions on Power Delivery 24 (3), 1728-1738, 2009
Scale-based approach to hierarchical fuzzy clustering
FMF Mascioli, A Rizzi, M Panella, G Martinelli
Signal Processing 80 (6), 1001-1016, 2000
On the impact of topological properties of smart grids in power losses optimization problems
F Possemato, M Paschero, L Livi, A Rizzi, A Sadeghian
International Journal of Electrical Power & Energy Systems 78, 755-764, 2016
Genre classification of compressed audio data
A Rizzi, NM Buccino, M Panella, A Uncini
2008 IEEE 10th Workshop on Multimedia Signal Processing, 654-659, 2008
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