Alessio Martino

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Assistant Professor of Computer Science

LUISS University

Italy

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Alessio Martino is an Assistant Professor of Computer Science at LUISS University in Italy. His research areas include data cleaning and enrichment, text classification in healthcare discussions, and the application of blockchain technology in public services. He has contributed to the understanding of natural language generation models, topic detection on social media, and the nuances of brain metabolic differences in amyotrophic lateral sclerosis. His work also explores optimization approaches in granular computing and graph embedding methodologies.

Recent Grants

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Distributed Large-Scale Pattern Recognition for graph-based problems in Bioinformatics

Open Date: 2017-07-01

Close Date: 2018-07-01

Alessio Martino

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Recent Grants

Articles (17)

Data cleaning and enrichment through data integration: networking the Italian academia

Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory

From Bag-of-Words to Transformers: A Comparative Study for Text Classification in Healthcare Discussions in Social Media

Blockchain Technology and Its Potential to Benefit Public Services Provision: A Short Survey

An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia–Ukraine Conflict

On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study

Brain metabolic differences between pure bulbar and pure spinal ALS: a 2-[<sup>18</sup>F]FDG-PET study

Role of brain 2-[<sup>18</sup>F]fluoro-2-deoxy-D-glucose-positron-emission tomography as survival predictor in amyotrophic lateral sclerosis

Graph-Based Multi-Label Classification for WiFi Network Traffic Analysis

Multifractal Characterization and Modeling of Blood Pressure Signals

On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study

A class-specific metric learning approach for graph embedding by information granulation

On component-wise dissimilarity measures and metric properties in pattern recognition

On component-wise dissimilarity measures and metric properties in pattern recognition

Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers: An Extended Analysis

A Multi-objective Optimization Approach for the Synthesis of Granular Computing-Based Classification Systems in the Graph Domain

Editorial: Prediction and explanation in biomedicine using network-based approaches

Collaborators (3)

ENRICO DE SANTIS

Andrea Baiocchi

Antonello Rizzi

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