Michele Marchetti

According to our database, Michele Marchetti authored at least 24 papers between 2003 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Exploiting knowledge graph communities to fine-tune large language models.

Alessia Amelio, Christopher Buratti, Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili

Expert Syst. Appl., 2026

2025

Multiplex network-based representation of vision transformers for visual explainability.

Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili

Neural Comput. Appl., October, 2025

Adaptive patch selection to improve Vision Transformers through Reinforcement Learning.

Francesco Cauteruccio, Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili

Appl. Intell., May, 2025

Efficient token pruning in Vision Transformers using an attention-based Multilayer Network.

Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili

Expert Syst. Appl., 2025

A Novel Framework for Evaluating Polarization in Online Social Networks.

Christopher Buratti, Michele Marchetti, Federica Parlapiano, Domenico Ursino, Luca Virgili

Big Data Cogn. Comput., 2025

Defining, Detecting, and Characterizing Power Users in Threads.

Gianluca Bonifazi, Christopher Buratti, Enrico Corradini, Michele Marchetti, Federica Parlapiano, Domenico Ursino, Luca Virgili

Big Data Cogn. Comput., 2025

A fine-grained approach for visual interpretability of convolutional neural networks.

Alessia Amelio, Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Domenico Ursino, Luca Virgili

Appl. Soft Comput., 2025

2024

A multilayer network-based framework for investigating the evolution and resilience of multimodal social networks.

Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Edoardo Giannelli, Michele Marchetti, Domenico Ursino, Luca Virgili

Soc. Netw. Anal. Min., December, 2024

A network analysis-based framework to understand the representation dynamics of graph neural networks.

Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Domenico Ursino, Luca Virgili

Neural Comput. Appl., February, 2024

Representation, detection and usage of the content semantics of comments in a social platform.

Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Giorgio Terracina, Domenico Ursino, Luca Virgili

J. Inf. Sci., 2024

A model-agnostic, network theory-based framework for supporting XAI on classifiers.

Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Giorgio Terracina, Domenico Ursino, Luca Virgili

Expert Syst. Appl., 2024

Speeding up Vision Transformers Through Reinforcement Learning.

Francesco Cauteruccio, Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili

Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

2023

A framework for investigating the dynamics of user and community sentiments in a social platform.

Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Giorgio Terracina, Domenico Ursino, Luca Virgili

Data Knowl. Eng., July, 2023

Representation and compression of Residual Neural Networks through a multilayer network based approach.

Alessia Amelio, Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Domenico Ursino, Luca Virgili

Expert Syst. Appl., April, 2023

Performing Wash Trading on NFTs: Is the Game Worth the Candle?

Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Daniele Montella, Simone Scarponi, Domenico Ursino, Luca Virgili

Big Data Cogn. Comput., March, 2023

An Ex-post Analysis of the Phenomenon of Wash Trading on NFTs.

Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Domenico Ursino, Luca Virgili

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

NT4XAI: a Framework Exploiting Network Theory to Support XAI on Classifiers.

Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Giorgio Terracina, Domenico Ursino, Luca Virgili

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

DLE4FC: a Deep Learning Ensemble to Identify Fabric Colors.

Alessia Amelio, Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Domenico Ursino, Luca Virgili

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

2022

An approach to detect backbones of information diffusers among different communities of a social platform.

Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Alberto Pierini, Giorgio Terracina, Domenico Ursino, Luca Virgili

Data Knowl. Eng., 2022

A Space-Time Framework for Sentiment Scope Analysis in Social Media.

Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Luigi Sciarretta, Domenico Ursino, Luca Virgili

Big Data Cogn. Comput., 2022

Defining a deep neural network ensemble for identifying fabric colors.

Alessia Amelio, Gianluca Bonifazi, Enrico Corradini, Simone Di Saverio, Michele Marchetti, Domenico Ursino, Luca Virgili

Appl. Soft Comput., 2022

A Network-based Model and a Related Approach to Represent and Handle the Semantics of Comments in a Social Network.

Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Giorgio Terracina, Domenico Ursino, Luca Virgili

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Mapping and Compressing a Convolutional Neural Network through a Multilayer Network.

Alessia Amelio, Gianluca Bonifazi, Enrico Corradini, Michele Marchetti, Domenico Ursino, Luca Virgili

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

2003

Towards a Conceptual Framework for UML to Hardware Description Language Mappings.

Ian Oliver, Michele Marchetti

Proceedings of the Forum on specification and Design Languages, 2003