Antonello Rizzi

Pubblicazioni

Titolo Pubblicato in Anno
Classification and calibration techniques in predictive maintenance: A comparison between GMM and a custom one-class classifier Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: CI4EMS 2020
Complexity vs. performance in granular embedding spaces for graph classification Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: NCTA 2020
Intrusion detection in wi-fi networks by modular and optimized ensemble of classifiers Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: NCTA 2020
Mining m-grams by a granular computing approach for text classification Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: NCTA 2020
Nanogrids: A smart way to integrate public transportation electric vehicles into smart grids Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: CI4EMS 2020
Intelligent energy flow management of a nanogrid fast charging station equipped with second life batteries INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2020
Data mining by evolving agents for clusters discovery and metric learning Neural Advances in Processing Nonlinear Dynamic Signals 2019
A novel neural networks ensemble approach for modeling electrochemical cells IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2019
FIS synthesis by clustering for microgrid energy management systems Neural Advances in Processing Nonlinear Dynamic Signals 2019
An improved PSO for flexible parameters identification of lithium cells equivalent circuit models Smart Innovation, Systems and Technologies 2019
ANFIS microgrid energy management system synthesis by hyperplane clustering supported by neurofuzzy min–max classifier IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2019
Efficient approaches for solving the large-scale k-medoids problem: Towards structured data Computational intelligence 2019
Cancer diagnosis using deep learning: A bibliographic review CANCERS 2019
Stochastic information granules extraction for graph embedding and classification IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence 2019
Calibration techniques for binary classification problems. A comparative analysis IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence 2019
(Hyper)Graph embedding and classification via simplicial complexes ALGORITHMS 2019
The universal phenotype ORGANISMS 2019
Tecniche Neurofuzzy per la Sintesi di Energy Management Systems in Stazioni di Ricarica Rapida Memorie - XXXV Riunione Nazionale dei Ricercatori di Elettrotecnica 2019
Il Progetto Europeo "Life For Silver Coast" Memorie - XXXV Riunione Nazionale dei Ricercatori di Elettrotecnica 2019
Spazi di Embedding per la Classificazione di Grafi Memorie - XXXV Riunione Nazionale dei Ricercatori di Elettrotecnica 2019

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

Non-linear circuits and systems, Soft  Computing,  Pattern Recognition, Computational  Intelligence, Granular Computing and Knowledge Discovery, Complex Systems modelling and control, Supervised  and unsupervised  data  driven  modeling  techniques,  neural  networks,  fuzzy systems, evolutionary  algorithms. Design  of  automatic  modeling  systems, clustering, classification, function approximation, prediction.Computational Intelligence techniques for Smart Grids and Micro Grids modelling, monitoring and control, Intelligent Systems for Sustainable Mobility, Energy Storage Systems modeling and control, Predictive Diagnostc systems for Condition Based Maintenance, Big Data for Industrial Applications, Classification and clustering systems in structured domains, Machine learning in non-metric spaces, graph  and sequence matching,  agent-based clustering and substructures mining, parallel and distributed computing. Machine learning for natural language processing, cybersecurity, bioinformatics, medical diagnosis.

Gruppi di ricerca

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma