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Antonello.Rizzi@uniroma1.it
Antonello Rizzi
Professore Associato
Struttura:
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
E-mail:
Antonello.Rizzi@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Publications
Title
Published on
Year
Ottimizzazione della Trasduzione dell'Energia per un Convertitore da Moto Ondoso mediante Algoritmi Evolutivi
Memorie - XXXIV Riunione Nazionale dei Ricercatori di Elettrotecnica
2018
Progetto "Life for Silver Coast"
Memorie - XXXIV Riunione Nazionale dei Ricercatori di Elettrotecnica
2018
A supervised classification system based on evolutive multi-agent clustering for smart grids faults prediction
Proc. of International Joint Conference on Neural Networks (IJCNN) 2018
2018
Microgrid energy management by ANFIS supported by an ESN based prediction algorithm
Proc. of International Joint Conference on Neural Networks (IJCNN) 2018
2018
Energy transduction optimization of a wave energy converter by evolutionary algorithms
Proc. of International Joint Conference on Neural Networks (IJCNN) 2018
2018
Supervised approaches for protein function prediction by topological data analysis
Proc. of International Joint Conference on Neural Networks (IJCNN) 2018
2018
Dissimilarity space representations and automatic feature selection for protein function prediction
Proc. of International Joint Conference on Neural Networks (IJCNN) 2018
2018
Evolutionary optimization of an affine model for vulnerability characterization in smart grids
Proc. of International Joint Conference on Neural Networks (IJCNN) 2018
2018
An ANFIS based system identification procedure for modeling electrochemical cells
Proc. of International Joint Conference on Neural Networks (IJCNN) 2018
2018
A binary PSO approach for real time optimal balancing of electrochemical cells
Proc. of International Joint Conference on Neural Networks (IJCNN) 2018
2018
An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery
SOFT COMPUTING
2017
Spectral reconstruction of protein contact networks
PHYSICA. A
2017
Data-driven detrending of nonstationary fractal time series with echo state networks
INFORMATION SCIENCES
2017
Instrument learning and sparse NMD for automatic polyphonic music transcription
IEEE TRANSACTIONS ON MULTIMEDIA
2017
Supervised approaches for function prediction of proteins contact networks from topological structure information
Image Analysis: 20th Scandinavian Conference, SCIA 2017, Troms\o, Norway, June 12--14, 2017, Proceedings, Part I
2017
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids
APPLIED SOFT COMPUTING
2017
An optimized microgrid energy management system based on FIS-MO-GA paradigm
Proc. of 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
2017
A learning intelligent system for classification and characterization of localized faults in Smart Grids
2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings
2017
ANFIS synthesis by clustering for microgrids EMS design
Proc. of 9th International Joint Conference on Computational Intelligence – IJCCI 2017
2017
Efficient approaches for solving the large-scale k-medoids problem
2017
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ERC
PE6_2
PE6_6
PE6_7
PE6_11
PE7_7
PE7_12
KET
Advanced manufacturing & processing
Big data & computing
Sustainable technologies & development
Interessi di ricerca
Progetti di Ricerca
Distributed Evolutionary Swarm Intelligence and Granular Computing Techniques for Nested Complex Systems Modelling
PARADISE - PARAllel and DIStributed Evolutionary agent-based systems for machine learning and big data mining
Gruppi di ricerca
Applicazioni dell'intelligenza artificiale alle immagini biomediche e alla diagnostica medica
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