Antonello Rizzi

Pubblicazioni

Titolo Pubblicato in Anno
Brain tumor segmentation using 2D-UNET convolutional neural network Deep learning for cancer diagnosis 2020
Deep learning for brain tumor segmentation Deep learning for cancer diagnosis 2020
(Hyper)graph kernels over simplicial complexes ENTROPY 2020
Prodotti per edilizia (capitolo 14) Industria, Italia. Ce la faremo se saremo intraprendenti. 2020
Exploiting cliques for granular computing-based graph classification Proceedings of the International Joint Conference on Neural Networks 2020
An ecology-based index for text embedding and classification Proceedings of the International Joint Conference on Neural Networks 2020
On the optimization of embedding spaces via information granulation for pattern recognition Proceedings of the International Joint Conference on Neural Networks 2020
Facing Big Data by an agent-based multimodal evolutionary approach to classification Proceedings of the International Joint Conference on Neural Networks 2020
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

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

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