Antonello Rizzi

Publications

Title Published on Year
La teoria dei prototipi incontra il word embedding: un nuovo approccio per la categorizzazione del testo mediante il Granular Computing Memorie - XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica 2022
Modellamento data-driven dei fenomeni d’invecchiamento nelle batterie al litio ad alte prestazioni Memorie - XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica 2022
Synthesis of an Evolutionary Fuzzy Multi-objective Energy Management System for an Electric Boat Proceedings of the 14th International Joint Conference on Computational Intelligence, IJCCI 2022 2022
An enhanced filtering-based information granulation procedure for graph embedding and classification IEEE ACCESS 2021
Towards a class-aware information granulation for graph embedding and classification Studies in Computational Intelligence 2021
A physically inspired equivalent neural network circuit model for SoC estimation of electrochemical cells ENERGIES 2021
Detection and screening of COVID-19 through chest computed tomography radiographs using deep neural networks Data Science for COVID-19 2021
A multi-agent approach for graph classification Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: NCTA 2021
Relaxed dissimilarity-based symbolic histogram variants for granular graph embedding Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: NCTA 2021
A class-specific metric learning approach for graph embedding by information granulation APPLIED SOFT COMPUTING 2021
A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning Proceedings of the 13th International Joint Conference on Computational Intelligence - FCTA 2021
A novel algorithm for online inexact string matching and its FPGA implementation COGNITIVE COMPUTATION 2020
A white-box equivalent neural network circuit model for SoC estimation of electrochemical cells IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2020
Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction SOFT COMPUTING 2020
Metabolic networks classification and knowledge discovery by information granulation COMPUTATIONAL BIOLOGY AND CHEMISTRY 2020
Optimization strategies for microgrid energy management systems by genetic algorithms APPLIED SOFT COMPUTING 2020
Frame-by-frame Wi-Fi attack detection algorithm with scalable and modular machine-learning design APPLIED SOFT COMPUTING 2020
An infoveillance system for detecting and tracking relevant topics from italian tweets during the COVID-19 event IEEE ACCESS 2020
Modelling and recognition of protein contact networks by multiple kernel learning and dissimilarity representations ENTROPY 2020
Microgrid energy management systems design by computational intelligence techniques APPLIED ENERGY 2020

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

Gruppi di ricerca

Applicazioni dell'intelligenza artificiale alle immagini biomediche e alla diagnostica medica

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