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ORCIDAntonello Rizzi
- > Home > Persons > Antonello Rizzi
Publications
- 2023
[j56]Enrico De Santis
, Alessio Martino, Francesca Ronci, Antonello Rizzi:
An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia-Ukraine Conflict. Inf. 14(6): 330 (2023)- [j53]Alessio Martino, Enrico De Santis, Antonello Rizzi:
On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study. SN Comput. Sci. 4(3): 314 (2023) - [c99]Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi:
A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context. IJCNN 2023: 1-9 - 2022
- [j52]Alessio Martino, Luca Baldini, Antonello Rizzi:
On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study. Algorithms 15(5): 148 (2022) - [j51]Enrico De Santis, Parisa Naraei, Alessio Martino, Alireza Sadeghian, Antonello Rizzi:
Multifractal Characterization and Modeling of Blood Pressure Signals. Algorithms 15(8): 259 (2022) - [j50]Luca Baldini, Alessio Martino, Antonello Rizzi:
A class-specific metric learning approach for graph embedding by information granulation. Appl. Soft Comput. 115: 108199 (2022) - [j49]Enrico De Santis, Alessio Martino, Antonello Rizzi:
On component-wise dissimilarity measures and metric properties in pattern recognition. PeerJ Comput. Sci. 8: e1106 (2022) - [j47]Giuseppe Granato, Alessio Martino, Luca Baldini, Antonello Rizzi:
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers: An Extended Analysis. SN Comput. Sci. 3(4): 310 (2022) - [j46]Luca Baldini, Alessio Martino, Antonello Rizzi:
A Multi-objective Optimization Approach for the Synthesis of Granular Computing-Based Classification Systems in the Graph Domain. SN Comput. Sci. 3(6): 436 (2022) - [c96]Giuseppe Granato, Alessio Martino, Antonello Rizzi:
A Granular Computing Approach for Multi-Labelled Sequences Classification in IEEE 802.11 Networks. IJCNN 2022: 1-9 - [c95]Enrico De Santis, Francesco Arnò, Alessio Martino, Antonello Rizzi:
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains. IJCNN 2022: 1-8 - 2021
- [j44]Alessio Martino, Antonello Rizzi:
An Enhanced Filtering-Based Information Granulation Procedure for Graph Embedding and Classification. IEEE Access 9: 15426-15440 (2021) - [c93]Luca Baldini, Alessio Martino, Antonello Rizzi:
Relaxed Dissimilarity-based Symbolic Histogram Variants for Granular Graph Embedding. IJCCI 2021: 221-235 - 2020
- [j43]Enrico De Santis, Alessio Martino, Antonello Rizzi:
An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event. IEEE Access 8: 132527-132538 (2020) - [j40]Stefano Leonori, Alessio Martino, Massimiliano Luzi, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
A generalized framework for ANFIS synthesis procedures by clustering techniques. Appl. Soft Comput. 96: 106622 (2020) - [j39]Alessio Martino, Alessandro Giuliani, Virginia Todde, Mariano Bizzarri, Antonello Rizzi:
Metabolic networks classification and knowledge discovery by information granulation. Comput. Biol. Chem. 84: 107187 (2020) - [j38]Alessandro Cinti, Filippo Maria Bianchi, Alessio Martino, Antonello Rizzi:
A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation. Cogn. Comput. 12(2): 369-387 (2020) - [j37]Alessio Martino, Enrico De Santis, Alessandro Giuliani, Antonello Rizzi:
Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations. Entropy 22(7): 794 (2020) - [j36]Alessio Martino, Antonello Rizzi:
(Hyper)graph Kernels over Simplicial Complexes. Entropy 22(10): 1155 (2020) - [j35]Antonio Di Noia, Alessio Martino, Paolo Montanari, Antonello Rizzi:
Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction. Soft Comput. 24(6): 4393-4406 (2020) - [c91]Luca Baldini, Alessio Martino, Antonello Rizzi:
Complexity vs. Performance in Granular Embedding Spaces for Graph Classification. IJCCI 2020: 338-349 - [c89]Giuseppe Granato, Alessio Martino, Luca Baldini, Antonello Rizzi:
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers. IJCCI 2020: 412-422 - [c86]Luca Baldini, Alessio Martino, Antonello Rizzi:
Exploiting Cliques for Granular Computing-based Graph Classification. IJCNN 2020: 1-9 - [c84]Alessio Martino, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition. IJCNN 2020: 1-8 - [c83]Alessio Martino, Enrico De Santis, Antonello Rizzi:
An Ecology-based Index for Text Embedding and Classification. IJCNN 2020: 1-8 - [p3]Alessio Martino, Mauro Giampieri, Massimiliano Luzi, Antonello Rizzi:
Data Mining by Evolving Agents for Clusters Discovery and Metric Learning. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 23-35 - 2019
- [j33]Alessio Martino, Alessandro Giuliani, Antonello Rizzi:
(Hyper)Graph Embedding and Classification via Simplicial Complexes. Algorithms 12(11): 223 (2019) - [j32]Stefano Leonori, Alessio Martino, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
ANFIS Microgrid Energy Management System Synthesis by Hyperplane Clustering Supported by Neurofuzzy Min-Max Classifier. IEEE Trans. Emerg. Top. Comput. Intell. 3(3): 193-204 (2019) - [c82]Luca Baldini, Alessio Martino, Antonello Rizzi:
Stochastic Information Granules Extraction for Graph Embedding and Classification. IJCCI 2019: 391-402 - [c81]Alessio Martino, Enrico De Santis, Luca Baldini, Antonello Rizzi:
Calibration Techniques for Binary Classification Problems: A Comparative Analysis. IJCCI 2019: 487-495 - 2018
- [c74]Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Distance Matrix Pre-Caching and Distributed Computation of Internal Validation Indices in k-medoids Clustering. IJCNN 2018: 1-8 - [c73]Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Supervised Approaches for Protein Function Prediction by Topological Data Analysis. IJCNN 2018: 1-8 - [c72]Enrico De Santis, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction. IJCNN 2018: 1-8 - 2017
- [c68]Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Efficient Approaches for Solving the Large-Scale k-Medoids Problem: Towards Structured Data. IJCCI (Selected Papers) 2017: 199-219 - [c67]Stefano Leonori, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
ANFIS Synthesis by Clustering for Microgrids EMS Design. IJCCI 2017: 328-337 - [c66]Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Efficient Approaches for Solving the Large-Scale k-medoids Problem. IJCCI 2017: 338-347 - [c64]Alessio Martino, Enrico Maiorino, Alessandro Giuliani, Mauro Giampieri, Antonello Rizzi:
Supervised Approaches for Function Prediction of Proteins Contact Networks from Topological Structure Information. SCIA (1) 2017: 285-296
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