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Antonello Rizzi
Antonello Rizzi
University of Rome "La Sapienza", Information Engineering, Electronics and Telecommunications Dpt.
Verified email at uniroma1.it - Homepage
Title
Cited by
Cited by
Year
Cancer Diagnosis Using Deep Learning: A Bibliographic Review
K Munir, H Elahi, A Ayub, F Frezza, A Rizzi
Cancers 11 (9), 1235, 2019
2092019
The graph matching problem
L Livi, A Rizzi
Pattern Analysis and Applications 16 (3), 253-283, 2013
1812013
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
1762017
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
1482017
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
1372015
Adaptive resolution min-max classifiers
A Rizzi, M Panella, FMF Mascioli
IEEE Transactions on Neural Networks 13 (2), 402-414, 2002
1272002
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
892015
Optimization strategies for Microgrid energy management systems by Genetic Algorithms
S Leonori, M Paschero, FMF Mascioli, A Rizzi
Applied Soft Computing 86, 105903, 2020
762020
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
682016
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids
E De Santis, A Rizzi, A Sadeghian
Applied Soft Computing 60, 135-149, 2017
632017
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids
E De Santis, A Rizzi, A Sadeghian
Applied Soft Computing 60, 135-149, 2017
632017
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
522015
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
502014
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
462013
Identifying user habits through data mining on call data records
FM Bianchi, A Rizzi, A Sadeghian, C Moiso
Engineering Applications of Artificial Intelligence 54, 49-61, 2016
432016
Microgrid Energy Management Systems Design by Computational Intelligence Techniques
S Leonori, A Martino, FMF Mascioli, A Rizzi
Applied Energy 277, 115524, 2020
412020
Optimized dissimilarity space embedding for labeled graphs
L Livi, A Rizzi, A Sadeghian
Information Sciences 266, 47-64, 2014
412014
ANFIS synthesis by hyperplane clustering
M Panella, A Rizzi, FMF Mascioli, G Martinelli
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS Internationalá…, 2001
402001
Real time identification of SSH encrypted application flows by using cluster analysis techniques
G Maiolini, A Baiocchi, A Iacovazzi, A Rizzi
International Conference on Research in Networking, 182-194, 2009
382009
Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction
A Di Noia, A Martino, P Montanari, A Rizzi
Soft Computing 24 (6), 4393-4406, 2020
372020
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