Alessio Martino

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 41

Top Topics

Information Granulation

Pattern Recognition

Protein Function Prediction

Graph Embedding

Top Venues

SN Comput. Sci.

Publications

Enrico De Santis, Alessio Martino, Antonello Rizzi
Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
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)
Domenico Garlisi, Alessio Martino, Jad Zouwayhed, Reza Pourrahim, Francesca Cuomo
Exploratory approach for network behavior clustering in LoRaWAN. J. Ambient Intell. Humaniz. Comput. 14 (12) (2023)
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) (2023)
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) (2023)
Enrico De Santis, Alessio Martino, Antonello Rizzi
On component-wise dissimilarity measures and metric properties in pattern recognition. PeerJ Comput. Sci. 8 (2022)
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) (2022)
Giuseppe Granato, Alessio Martino, Antonello Rizzi
A Granular Computing Approach for Multi-Labelled Sequences Classification in IEEE 802.11 Networks. IJCNN (2022)
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) (2022)
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)
Luca Baldini, Alessio Martino, Antonello Rizzi
A class-specific metric learning approach for graph embedding by information granulation. Appl. Soft Comput. 115 (2022)
Enrico De Santis, Parisa Naraei, Alessio Martino, Alireza Sadeghian, Antonello Rizzi
Multifractal Characterization and Modeling of Blood Pressure Signals. Algorithms 15 (8) (2022)
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) (2022)
Mattia Merluzzi, Alessio Martino, Francesca Costanzo, Paolo Di Lorenzo, Sergio Barbarossa
Dynamic Ensemble Inference at the Edge. GLOBECOM (2021)
Alessio Martino, Antonello Rizzi
An Enhanced Filtering-Based Information Granulation Procedure for Graph Embedding and Classification. IEEE Access 9 (2021)
Luca Baldini, Alessio Martino, Antonello Rizzi
Relaxed Dissimilarity-based Symbolic Histogram Variants for Granular Graph Embedding. IJCCI (2021)
Luca Baldini, Alessio Martino, Antonello Rizzi
Exploiting Cliques for Granular Computing-based Graph Classification. IJCNN (2020)
Alessio Martino, Antonello Rizzi
(Hyper)graph Kernels over Simplicial Complexes. Entropy 22 (10) (2020)
Giuseppe Granato, Alessio Martino, Luca Baldini, Antonello Rizzi
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers. IJCCI (2020)
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) (2020)
Alessio Martino, Alessandro Giuliani, Virginia Todde, Mariano Bizzarri, Antonello Rizzi
Metabolic networks classification and knowledge discovery by information granulation. Comput. Biol. Chem. 84 (2020)
Alessio Martino, Enrico De Santis, Antonello Rizzi
An Ecology-based Index for Text Embedding and Classification. IJCNN (2020)
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 (2020)
Alessio Martino, Fabio Massimo Frattale Mascioli, Antonello Rizzi
On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition. IJCNN (2020)
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) (2020)
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) (2020)
Luca Baldini, Alessio Martino, Antonello Rizzi
Complexity vs. Performance in Granular Embedding Spaces for Graph Classification. IJCCI (2020)
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 (2020)
Francesca Cuomo, Domenico Garlisi, Alessio Martino, Antonio Martino
Predicting LoRaWAN Behavior: How Machine Learning Can Help. Comput. 9 (3) (2020)
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) (2019)
Luca Baldini, Alessio Martino, Antonello Rizzi
Stochastic Information Granules Extraction for Graph Embedding and Classification. IJCCI (2019)
Jacopo Maria Valtorta, Alessio Martino, Francesca Cuomo, Domenico Garlisi
A Clustering Approach for Profiling LoRaWAN IoT Devices. AmI (2019)
Alessio Martino, Alessandro Giuliani, Antonello Rizzi
(Hyper)Graph Embedding and Classification via Simplicial Complexes. Algorithms 12 (11) (2019)
Alessio Martino, Enrico De Santis, Luca Baldini, Antonello Rizzi
Calibration Techniques for Binary Classification Problems: A Comparative Analysis. IJCCI (2019)
Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Supervised Approaches for Protein Function Prediction by Topological Data Analysis. IJCNN (2018)
Enrico De Santis, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction. IJCNN (2018)
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)
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)
Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Efficient Approaches for Solving the Large-Scale k-medoids Problem. IJCCI (2017)
Stefano Leonori, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
ANFIS Synthesis by Clustering for Microgrids EMS Design. IJCCI (2017)
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)