Antonello Rizzi

Pubblicazioni

Titolo Pubblicato in Anno
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
Design and validation of a contactless charging system for electric bicycles RTSI 2017 - IEEE 3rd International Forum on Research and Technologies for Society and Industry, Conference Proceedings 2017
IL PROGETTO “HI-ZEV” Memorie ET2017 2017
IL PROGETTO “LIFE FOR SILVER COAST” Memorie ET2017 2017
A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS IN APPLIED SCIENCES AND ENGINEERING 2017
Properties and training in recurrent neural networks Recurrent Neural Networks for Short-Term Load Forecasting. An Overview and Comparative Analysis 2017
Recurrent neural network architectures Recurrent Neural Networks for Short-Term Load Forecasting. An Overview and Comparative Analysis 2017
Other recurrent neural networks models Recurrent Neural Networks for Short-Term Load Forecasting - An Overview and Comparative Analysis 2017
Synthetic time series Recurrent Neural Networks for Short-Term Load Forecasting - An Overview and Comparative Analysis 2017
Real-world load time series Recurrent Neural Networks for Short-Term Load Forecasting. An Overview and Comparative Analysis 2017

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