Antonello Rizzi

Pubblicazioni

Titolo Pubblicato in Anno
Human versus machine intelligence. Assessing natural language generation models through complex systems theory IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2024
Modeling failures in smart grids by a bilinear logistic regression approach NEURAL NETWORKS 2024
PNRR – PE2 – NEST – SPOKE 8 Sistemi per la gestione ottima di flussi energetici nelle comunità energetiche rinnovabili Memorie - XXXVIII Riunione Nazionale dei Ricercatori di Elettrotecnica 2024
PNRR – CN4 - MOST – SPOKE 13 Sistemi di time series forecasting Memorie - XXXVIII Riunione Nazionale dei Ricercatori di Elettrotecnica 2024
Modellamento del linguaggio generato da esseri umani e da intelligenze artificiali generative tramite la teoria della complessità Memorie - XXXVIII Riunione Nazionale dei Ricercatori di Elettrotecnica 2024
From bag-of-words to transformers: a comparative study for text classification in healthcare discussions in social media IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2024
An Extended Battery Equivalent Circuit Model for an Energy Community Real Time EMS 2024 International Joint Conference on Neural Networks (IJCNN) 2024
Improving prediction performances by integrating second derivative in microgrids energy load forecasting 2024 International Joint Conference on Neural Networks (IJCNN) 2024
ISMatch: A real-time hardware accelerator for inexact string matching of DNA sequences on FPGA MICROPROCESSORS AND MICROSYSTEMS 2023
Multifractal Characterization of Texts for Pattern Recognition: on the Complexity of Morphological Structures in Modern and Ancient Languages IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2023
On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study SN COMPUTER SCIENCE 2023
Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing COGNITIVE COMPUTATION 2023
An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia–Ukraine Conflict INFORMATION 2023
A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context 2023 International Joint Conference on Neural Networks (IJCNN) 2023
Facing Graph Classification Problems by a Multi-agent Information Granulation Approach Computational intelligence 2023
An Information Granulation Approach Through m-Grams for Text Classification Computational intelligence 2023
Improving Simulation Realism in Developing a Fuzzy Modular Autonomous Driving System for Electric Boats Studies in Computational Intelligence 2023
A comparison between seasonal and non-seasonal forecasting techniques for energy demand time series in smart grids Proceedings of the 15th International Joint Conference on Computational Intelligence - NCTA 2023 2023
Esercizi di Elettrotecnica, Terza edizione 2022
On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study ALGORITHMS 2022

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